IMPMS 2026: THE 5TH ITALIAN MEETING ON PROBABILITY AND MATHEMATICAL STATISTICS

A
Abedesselam, Mohamed Taki Eddine	Payment-failure times for random Lightning paths
Abi Jaber, Eduardo	Efficient Simulation of Affine Volterra Processes
Abundo, Mario	Can the introduction of resetting expedite the first passage of a diffusion process?
Adams, Zachary	(Moment) Lyapunov stability of parabolic SPDEs
Addona, Davide	Pathwise uniqueness by noise for stochastic PDEs with singular drift Bismut-Elworthy type formulae for BSDEs with degenerate noise
Adelfio, Giada	Guidelines for Cubature-based Likelihood approximation of 3D Poisson Point Processes Functional marked self-exciting point process models
Agarwal, Ankush	Numerical Approximation of McKean-Vlasov SDEs via Stochastic Gradient Descent
Agazzi, Andrea	Deep Transformers as Mean-field Interacting Particle Systems Quantitative Master Theorems for Tensor Programs via the Wasserstein distance A multiscale analysis of mean-field transformers in the moderate interaction regime Global Optimization via Softmin Energy Minimization Noise induced stabilization in stochastic chemical reaction network
Agresti, Antonio	Chapter 3: Scaling limits and delayed blow-up by transport noise
Aletti, Giacomo	A multi-factorial innovation model with feature-interaction
Alfonsi, Aurelien	Stochastic Volterra Equations on Convex Domains
Allemandri, Mattia	Optimal resource extraction with a random threshold
Alquier, Pierre	Dimension-free statistical guarantees for fine-tuning of conditional diffusion models via PAC-Bayes bounds
Amato, Andrea	Singular Mean-field Control via Singular Mean-field Games
Amato, Andrea	Numerical Approximation of McKean-Vlasov SDEs via Stochastic Gradient Descent
Amici, Giovanni	Multivariate additive subordination with applications in finance Functional PCA for Risk-Neutral densities in Bayes space
Amongero, Martina	Bayesian Nonparametric Community Detection in Stochastic Block Models with Structural Constraints
Amorino, Chiara	Nonparametric Estimation of the Diffusive Interaction Function in Particle Systems
Amorino, Chiara	Statistical inference for interacting particle systems driven by the fractional Brownian motion
Andreis, Luisa	Finite vs Infinite-Mean Heavy-Tailed Fitness: Geometry and Connectivity in Inhomogeneous Random Graphs Large deviations for spatial coagulation with diffusion
Angileri, Flora	Threshold-Driven Streaming Graph: Expansion and Rumor Spreading
Ascione, Giacomo	Constructing heavy-tailed directed hypergraphs
Ascolani, Filippo	Posterior behaviour of the stick-breaking weights for Bayesian infinte mixture models
Avena, Luca	Finite vs Infinite-Mean Heavy-Tailed Fitness: Geometry and Connectivity in Inhomogeneous Random Graphs node2vec random walks: Regular graphs and recurrence
Ayesta, Urtzi	The geometry of the stability region of randomly modulated queuing systems
Azzone, Giovanni	New Distributed Beacon-Based Approaches for Multi-Parameter Monitoring: Sentinel-GRID
Azzone, Mario	New Distributed Beacon-Based Approaches for Multi-Parameter Monitoring: Sentinel-GRID
Azzone, Michele	Parametric local volatility: Exact prices lead to sound continuous Markovian models
B
Baccelli, François	Poisson Hail on a Wireless Ground
Bagnara, Marco	Chapter 4: The nonsmooth Kraichnan model Refined uniqueness results for 2D Euler and gSQG with rough Kraichnan noise
Baioletti, Marco	Optimizing Fuzzy Partitions for Visual Sensors
Baldassarri, Simone	Infection models on dense dynamic random graphs
Ballarin, Francesco	The Wiener Disorder Problem with Random Post-Disorder Drift
Ballotta, Laura	Multivariate additive subordination with applications in finance
Barashkov, Nikolay	On spectral gaps of stochastic wave equations
Barkai, Eli	Laplace's first law of errors applied to Markov and non-Markov diffusive motion
Battiston, Marco	Almost conditionally identically distributed random variables
Bayer, Christian	Statistical inference for SDEs using Signatures
Becchetti, Luca	Approximate 2-hop neighborhoods on incremental graphs: An efficient lazy approach
Beghin, Luisa	Non-local operators for Pearson diffusions
Bellingeri, Carlo	Wick integrals Non-chaotic interacting particle systems
Bellini, Fabio	Some results on general $\Lambda$-quantiles Disappointment aversion and expectiles
Ben Jrada, Mohammed Es-Salih	Inference for a concave distribution function under measurement error
Beraha, Mario	Bayesian calculus and predictive characterizations of extended feature allocation models
Berger, Quentin	Strong disorder for Stochastic Heat Flow and 2D Directed Polymers
Bergsma, Wicher	Computationally efficient hierarchical additive interaction models through hierarchical ANOVA kernels and Gaussian processes
Berlinghieri, Renato	Beyond Schrödinger Bridges for Learning Trajectories from Snapshot Samples
Bertacchi, Daniela	Branching Random Walks with ageing
Berton, Edoardo	On consistency of optimal portfolio choice for state-dependent exponential utilities
Bet, Gianmarco	Localized geometry detection in scale-free random graphs node2vec random walks: Regular graphs and recurrence
Biagini, Francesca	Collective Arbitrage and Superreplication
Bianchi, Alessandra	Mixing trichotomy for random walks on directed stochastic block models Convergence of subgraph densities in ERGMs
Bignamini, Davide Augusto	On the uniqueness of reversible invariant measures for SPDEs on the full space Pathwise uniqueness by noise for stochastic PDEs with singular drift
Bignozzi, Valeria	Multivariate Robust Extremiles
Bisi, Elia	Can one hear the shape of a random matrix? Extreme value statistics for partial orders
Blessing, Alexandra	A mild rough Gronwall lemma with applications to non-autonomous evolution equations
Bonaccorsi, Stefano	Random evolution on combinatorial and metric graphs
Bondi, Alessandro	Explosions of stochastic Volterra equations Lévy processes as weak limits of rough Heston models
Bondi, Luca	A non-local singular McKean SDE
Bonesini, Ofelia	Rough differential equations for volatility Efficient simulation of a new class of Volterra-type SDEs
Bonet, Clément	Flowing Datasets with Wasserstein over Wasserstein Gradient Flows
Bonicelli, Alberto	Stochastic Differential Equations and the Martin-Siggia-Rose Formalism: An Algebraic-Analytic Correspondence On the Stochastic Sine-Gordon Model from the Viewpoint of Quantum Field Theory
Borasi, Luigi	A stochastic approach to time-dependent BEC
Bortolotti, Teresa	Conformal classification with tight marginal coverage in noisy settings
Bovo, Andrea	Continuous-Time Dynamic Contracting With Limited Commitment
Braun, Sacha	Conditional Coverage in Conformal Prediction: Tradeoffs and Insights
Briol, François-Xavier	Kernel Quantile Embeddings and Associated Probability Metrics
Broderick, Tamara	Beyond Schrödinger Bridges for Learning Trajectories from Snapshot Samples
Broecker, Jochen	Ergodicity of a Stochastic Energy Balance Model for Global Temperature
Bruni, Benedetta	A partial likelihood approach to tree-based density modeling and its application in Bayesian inference
Bruno, Giuseppe	A multiscale analysis of mean-field transformers in the moderate interaction regime
Bugini, Fabio	Nonlinear Rough Fokker-Planck Equations Malliavin Calculus for rough stochastic differential equations
Bulla, Luana	Modeling Vagueness in Large Language Models: A Hybrid Logical-Probabilistic Perspective on Moral Classification and Constrained Generation
Buonaguidi, Bruno	The Wiener Disorder Problem with Random Post-Disorder Drift
Burov, Stas	Laplace's first law of errors applied to Markov and non-Markov diffusive motion
Butori, Federico	Background {Vlasov} equations and {Young} measures for passive scalar and vector advection equations under special stochastic scaling limits
Buttarazzi, Matteo	Optimal Annuitization under Partially Observable Mortality
C
Cagnotti, Matteo	Martingale Problems with Distributional Drift via Regularisation: Convergence of the Euler Scheme
Calissano, Anna	A Conformal Prediction Approach to Predict Populations of Graphs
Callegaro, Giorgia	Efficient simulation of a new class of Volterra-type SDEs
Calvia, Alessandro	Economic growth models on networks with regime-switching dynamics
Camerlenghi, Federico	Bayesian calculus and predictive characterizations of extended feature allocation models
Camilli, Fabio	Stationary Mean Field Games on networks with sticky transition condition
Cammarota, Valentina	Correlation Structure for Random Waves Critical Points and Euler characteristic for Time-Dependent Spherical Random Fields
Campailla, Concetta	Critical density of the Stochastic Sandpile Model
Campolina, Ciro	Intrinsic stochasticity in the Landau–Lifshitz–Navier–Stokes equations on logarithmic lattices
Cannarsa, Piermarco	Ergodicity of a Stochastic Energy Balance Model for Global Temperature
Cannerozzi, Federico	Stationary Mean-Field singular control of an Ornstein-Uhlenbeck process Singular Mean-field Control via Singular Mean-field Games
Caponera, Alessia	Fractional Cointegration of Geometric Functionals Low-Dose Tomography of Random Fields and the Problem of Continuous Heterogeneity
Capotorti, Andrea	Optimizing Fuzzy Partitions for Visual Sensors
Cappelletti, Daniele	Stability of Reaction Networks with Randomly Switching Parameters - part 2
Cappelletti, Daniele	Stochastic ordering tools for reaction network models Stability of Reaction Networks with Randomly Switching Parameters - Part 1
Caputo, Luigia	Parameter estimation in a fractional neuronal model
Caravenna, Francesco	Strong disorder for Stochastic Heat Flow and 2D Directed Polymers Noise sensitivity and directed polymers
Carazzato, Tommaso	On the Lyapunov exponent of discrete and continuum generalized Ising-models
Carfagnini, Marco	Berry-Heisenberg random waves
Carigi, Giulia	Ergodicity of a Stochastic Energy Balance Model for Global Temperature
Carl, David	Accurate Bayesian inference for tail risk extrapolation in time series Asymptotic theory for the likelihood-based block maxima method in time series
Carlei, Vittorio	Global Optimization via Softmin Energy Minimization
Cascos, Ignacio	Integrated expectile-based measures of inequality
Castronovo, Lydia	Multi-Criteria Decision-Making, Conditional Probabilities, and Fuzzy Sets
Catalano, Marta	Hierarchical Random Measures without Tables Hilbert-Based Correlation Indices for Distributional Data Approximate Bayesian computation with kernel Wasserstein distance Two-sample test for laws of random probabilities via optimal transport
Cecchin, Alekos	Uniqueness for Finite-State Mean Field Games with Non-Separable Hamiltonians Convergence for linear quadratic potential mean field games
Celli, Lucia	Edgeworth Expansions and Non-Gaussian Corrections in Finite-Width Wide Neural Networks
Centrone, Francesca	Robust quasi-convex and cash-subadditive risk measures: theory, duality, and applications
Cervellera, Stefano	Nonparametric Inference for Multivariate and Complex Data Structures
Chaintron, Louis-Pierre	ResNets of All Shapes and Sizes: Quantitative Large-Scale Theory of Training Dynamics
Chaintron, Louis-Pierre	Properties of diffusion transport maps via creation of log-semiconcavity along heat flows
Chau, Siu Lun	Kernel Quantile Embeddings and Associated Probability Metrics
Chevyrev, Ilya	Statistical inference for SDEs using Signatures Large field problem in coercive singular PDEs
Chiarini, Alberto	Hard wall repulsion for the discrete Gaussian free field in random environment in supercritical dimension A semiconcavity approach to stability of entropic plans and exponential convergence of Sinkhorn's algorithm - Part 2 A semiconcavity approach to stability of entropic plans and exponential convergence of Sinkhorn’s algorithm - Part 1 Solidification estimates for random walks on supercritical percolation clusters Fluctuations of the Simple Exclusion Process on Point Processes
Chiechi, Rocco	New Distributed Beacon-Based Approaches for Multi-Parameter Monitoring: Sentinel-GRID
Chiodi, Marcello	Functional marked self-exciting point process models
Chizat, Lénaïc	ResNets of All Shapes and Sizes: Quantitative Large-Scale Theory of Training Dynamics
Christensen, Sören	Adaptive denoising diffusion modelling via random time reversal
Cinfrignini, Andrea	Reinsurance games through quantile-constrained Choquet-Wasserstein approximations
Cinque, Fabrizio	Multidimensional random motions with a natural number of velocities
Cipriani, Alessandra	Hard wall repulsion for the discrete Gaussian free field in random environment in supercritical dimension The spectrum of dense kernel-based random graphs
Clementi, Andrea	Approximate 2-hop neighborhoods on incremental graphs: An efficient lazy approach Maintaining k-MinHash Signatures over Fully-Dynamic Data Streams with Recovery Threshold-Driven Streaming Graph: Expansion and Rumor Spreading
Coghi, Michele	Chapter 4: The nonsmooth Kraichnan model Malliavin Calculus for rough stochastic differential equations
Cohen, Edward A. K.	Simultaneous global and local clustering in multiplex networks with covariate information
Cohen, Samuel	Deep Hilbert Galerkin methods for PDEs on Hilbert spaces via derivative-informed operator learning with applications to stochastic optimal control of infinite-dimensional systems Derivative-informed Hilbert neural operators solve PDEs on Hilbert spaces and infinite-dimensional optimal control problems
Colaneri, Katia	Strategic Focus or Technological Neutrality? On the Optimal Mix of Green Investment and Carbon Capture and Storage Research in a Budget-Constraint World Optimal reinsurance with unobservable claim arrival intensity: a Stackelberg differential game
Colantoni, Fausto	Master Equations for Continuous-Time Random Walks with Stochastic Resetting Generalizations of Elastic Brownian Motion
Collet, Francesca	Convergence of subgraph densities in ERGMs
Conforti, Giovanni	Non-Asymptotic Convergence of Discrete Diffusion Models: Masked and Random Walk dynamics
Conforti, Giovanni	A semiconcavity approach to stability of entropic plans and exponential convergence of Sinkhorn's algorithm - Part 2 A semiconcavity approach to stability of entropic plans and exponential convergence of Sinkhorn’s algorithm - Part 1
Conforti, Giovanni	Properties of diffusion transport maps via creation of log-semiconcavity along heat flows
Cornacchia, Elisabetta	Learning with Neural Networks on Structured Inputs
Cornalba, Federico	Reduced stochastic PDE models for collective behaviour
Corneck, Joshua	Simultaneous global and local clustering in multiplex networks with covariate information
Cosco, Clément	Directed polymer in spatially correlated environment
Cosso, Andrea	A probabilistic approach for optimal stopping mean-field games
Costeri, Beatrice	On the Stochastic Sine-Gordon Model from the Viewpoint of Quantum Field Theory
Cottini, Francesca	Directed polymer in spatially correlated environment
Cozzucoli, Paolo Carmelo	An EWMA Control Chart to Monitor a Multivariate Binomial Process
Cretarola, Alessandra	Stochastic Evolution Inclusions with Nonlocal Initial Conditions
Crimaldi, Irene	A multi-factorial innovation model with feature-interaction Urn models: interaction, synchronization and generalized reinforcement
Crippa, Gianluca	Zero-noise selection and Large Deviations in $L^\infty_t L^p_x$ for the stochastic transport equation beyond DiPerna-Lions
Cristofaro, Lorenzo	Fractional Calculus and Gaussian Processes: extensions and alternatives to fractional Brownian motion
Cuchiero, Christa	Modeling with neural SPDEs: data-driven Heath-Jarrow-Morton models
Cunden, Fabio Deelan	Extreme value statistics for partial orders
Cunden, Fabio Deelan	Can one hear the shape of a random matrix?
Cuniberti, Giulio	Stochastic ordering tools for reaction network models
Cusatelli, Carlo	Nonparametric Inference for Multivariate and Complex Data Structures
D
D'Achille, Matteo	A jewel and two dials in the ideal Poisson--Voronoi tessellation
D'Alcantara, Alessandro	New Distributed Beacon-Based Approaches for Multi-Parameter Monitoring: Sentinel-GRID
D'Amato, Alessio	Strategic Focus or Technological Neutrality? On the Optimal Mix of Green Investment and Carbon Capture and Storage Research in a Budget-Constraint World
D'Andolfi, Laura	A probabilistic approach for optimal stopping mean-field games
D'Angelo, Nicoletta	Guidelines for Cubature-based Likelihood approximation of 3D Poisson Point Processes Functional marked self-exciting point process models
D'Auria, Bernardo	Mean field games with option to buy information Robust Ergodic Singular Control of Compound–Poisson Jump Diffusions under Drift and Intensity Ambiguity Competing growth on the configuration model via first-passage percolation and long-range jumps
D'Onofrio, Giuseppe	Random walks with stochastic resetting in complex networks Two-factor models via subordination of multiparameter Markov processes
D'Onofrio, Giuseppe	Additive subordination of multiparameter Markov processes
D'Ovidio, Mirko	Non-local dynamic boundary conditions for sticky Brownian motions on smooth domains Sticky vertices with energy accumulation
Dai Pra, Marta	Multi-type logistic branching processes with selection: frequency process and genealogy for large carrying capacities
Dappiaggi, Claudio	Stochastic Differential Equations and the Martin-Siggia-Rose Formalism: An Algebraic-Analytic Correspondence On the Stochastic Sine-Gordon Model from the Viewpoint of Quantum Field Theory
Daudin, Samuel	Mean-Field Optimal Control Approach to Deep Learning
De Ambroggio, Carlo	Diameters in preferential attachment model with random initial degrees
De Angelis, Tiziano	Optimal Annuitization under Partially Observable Mortality Optimal resource extraction with a random threshold When investors force the green transition: a two-dimensional singular stochastic control problem Continuous-Time Dynamic Contracting With Limited Commitment
De Blasi, Pierpaolo	Bayesian Nonparametric Community Detection in Stochastic Block Models with Structural Constraints
De Crescenzo, Anna	Mean-field control of heterogeneous systems
De Donno, Marzia	On consistency of optimal portfolio choice for state-dependent exponential utilities
De Fazio, Paolo	Second Quantization and Evolution Operators in infinite dimension
de Feo, Filippo	Deep Hilbert Galerkin methods for PDEs on Hilbert spaces via derivative-informed operator learning with applications to stochastic optimal control of infinite-dimensional systems
de Feo, Filippo	Mean-field control of heterogeneous systems
de Feo, Filippo	Derivative-informed Hilbert neural operators solve PDEs on Hilbert spaces and infinite-dimensional optimal control problems
De Gregorio, Alessandro	Time-changed random evolutions and fractional hyperbolic-type equations
de Lellis, Piero	Constructing heavy-tailed directed hypergraphs
De Palma, Giacomo	Quantitative Convergence of Trained Quantum Neural Networks to a Gaussian Process
De Palma, Giacomo	Mean-field limit in quantum neural networks
De Santis, Emilio	{Macro-Micro Inference for Galves-Löcherbach Processes: Robust Synaptic Classification via Spike-Triggered Extrapolation
De Vecchi, Francesco Carlo	On the uniqueness of reversible invariant measures for SPDEs on the full space A stochastic approach to time-dependent BEC The forward-backward approach to interacting fermionic states on the lattice
De Vito, Ernesto	LEARNING THEORY OF SHALLOW NEURAL NETWORKS THROUGH THE LENS OF RKBS
Deaconu, Madalina	Approximation of Diffusion Exit Times from Bounded Domains via a Rejection-Based Random Walk Approximation of first passage times and hitting times for stochastic differential equations
Del Sole, Claudio	Hierarchical Random Measures without Tables
Del Vecchio, Simone	On the Ryll-Nardzewski Theorem for Quantum Stochastic Processes
Delarue, Francois	Entropic Regularization of Rearranged Stochastic Heat Equation
Delarue, François	PDEs driven by Dirichlet-Ferguson laplacian in Wasserstein-Sobolev spaces Mean field optimal stopping and related N -player cooperative games
Dello Schiavo, Lorenzo	Massive Particle Systems, Wasserstein Brownian Motions, and the Dean--Kawasaki SPDE
Di Crescenzo, Antonio	First-passage times through closed curves for bivariate diffusion processes, simulations and comparisons based on stochastic orderings Capturing Growth and Shock Dynamics through Lognormal Diffusions with Binomial Catastrophes On some drift-based transformations of multidimensional diffusion processes and their applications Nonlocal α-size biasing: Stein characterization and one-sided concentration bound
Di Crescenzo, Antonio	Analysis of Systems through the Regression Importance Signature
Di Gesu, Giacomo	On spectral gaps of stochastic wave equations
Di Lecce, Michele	New Distributed Beacon-Based Approaches for Multi-Parameter Monitoring: Sentinel-GRID
Di Lillo, Simmaco	Spectral and Geometric Phase Transitions in Deep Neural Networks
Di Matteo, Tiziana	The Reverse Hypergeometric distribution for attribute concentration in small groups
Di Nardo, Elvira	Efficient computation and estimation of generalized cumulants via complementary set partitions
Di Nunno, Giulia	Modeling Monkeypox transmission through stochastic dynamics with self-excitation
Di Persio, Luca	Uniqueness for Finite-State Mean Field Games with Non-Separable Hamiltonians
Di Primio, Andrea	Existence, uniqueness and asymptotic stability of invariant measures for the stochastic Allen–Cahn–Navier–Stokes system with singular potential Stochastic diffuse interface models driven by conservative noise
Diallo Aoudi, Mohamed Habib Aliou	Hydrodynamic limits of exploration processes on large random graphs
Dianetti, Jodi	Relative Performance Concerns in Financial Markets under Recursive Intertemporal Preferences Convergence for linear quadratic potential mean field games
Dionigi, Pierfrancesco	Exponential Random Edge-Colored Graphs via Probability Graphons: Free Energies and Extremal Colorings
Doldi, Alessandro	Collective Arbitrage and Superreplication Collective completeness and pricing hedging duality Does cooperation improve individual performance?
Dolmeta, Patric	Bayesian nonparametric inference for covariate-driven point processes
Donadini, Anna	Noise sensitivity and directed polymers Directed polymer in spatially correlated environment
Dos Reis, Goncalo	Numerical Approximation of McKean-Vlasov SDEs via Stochastic Gradient Descent
Drago, Nicolo	Stochastic Differential Equations and the Martin-Siggia-Rose Formalism: An Algebraic-Analytic Correspondence
Drees, Holger	Testing for Multivariate Regular Variation
Drivas, Theodore D.	Anomalous phenomena in the Kraichnan model of turbulence
Duch, Pawel	Flow equation approach to stochastic quantisation
Dumitrescu, Roxana	A probabilistic approach for optimal stopping mean-field games Fast-slow mean-field games with common noise
Dupuis, Benjamin	Algorithm- and Data-Dependent Generalization Bounds for Diffusion Models
Durmus, Alain	Non-Asymptotic Convergence of Discrete Diffusion Models: Masked and Random Walk dynamics
E
Eichinger, Katharina	Properties of diffusion transport maps via creation of log-semiconcavity along heat flows
Ekström, Erik	Play longer when It matters: optimal match length in knock-out tournaments
Engel, Maximilian	Random Quadratic Form on a Sphere: Synchronization by Common Noise
F
Facciaroni, Lorenzo	Random Flights and Anomalous Diffusion: A non-Markovian Take on Lorentz Processes
Faggionato, Alessandra	Fluctuations of the Simple Exclusion Process on Point Processes
Failla, Giuseppe	An Application of Fuzzy Set Theory and Interval-Based Distances for Expert Judgment Aggregation
Farinelli, Sara	Normalizing Flows as Approximations of the Optimal Transport Map
Favero, Martina	Large-sample asymptotics of coalescent importance sampling algorithms
Fayolle, Guy	Stability and renormalization of Jackson networks with non-idling mobile servers
Federico, Salvatore	Mean field games in Hilbert spaces
Feng, Ke	Poisson Hail on a Wireless Ground
Fernley, John	The grass-bushes-trees process on a scale-free network
Ferrari, Giorgio	Existence of Strong Randomized Equilibria in Mean-Field Games of Optimal Stopping with Common Noise Robust Ergodic Singular Control of Compound–Poisson Jump Diffusions under Drift and Intensity Ambiguity Singular Mean-field Control via Singular Mean-field Games
Ferrari, Matteo	Measuring Financial Resilience Using Backward Stochastic Differential Equations
Ferrari, Simone	Hypercontractivity type property for generalized Mehler semigroups
Ferrario, Benedetta	The nonlinear Schrödinger equation with multiplicative noise and arbitrary power of the nonlinearity
Ferrucci, Emilio	Rough differential equations for volatility Wick integrals Statistical inference for SDEs using Signatures
Filippone, Giuseppe	Artificial Experts in Multi-Criteria Group Decision-Making
Fiorito, Lorenzo	LEARNING THEORY OF SHALLOW NEURAL NETWORKS THROUGH THE LENS OF RKBS
Fischer, Markus	Mean field games with option to buy information
Flandoli, Franco	Transport noise in natural convection
Fontana, Claudio	Real-world models for multiple term structures: a unifying HJM semimartingale framework Modeling with neural SPDEs: data-driven Heath-Jarrow-Morton models
Fontana, Matteo	A Conformal Prediction Approach to Predict Populations of Graphs
Forde, Martin	Lévy processes as weak limits of rough Heston models
Fortini, Sandra	Predictive Bernstein-von Mises Theorems
Foss, Sergey	Poisson Hail on a Wireless Ground
Fouque, Jean Pierre	Collective Arbitrage and Superreplication
Fraccarolo, Nicola	Uniqueness for Finite-State Mean Field Games with Non-Separable Hamiltonians
Franzolini, Beatrice	Dynamic network clustering via connectivity pattern persistence and node-level dependence
Fresta, Luca	The forward-backward approach to interacting fermionic states on the lattice
Frey, Ruediger	Strategic Focus or Technological Neutrality? On the Optimal Mix of Green Investment and Carbon Capture and Storage Research in a Budget-Constraint World
Fricker, Christine	Large-Scale Analysis of Multi-Scale Queuing Networks: Applications to Car-Sharing Systems Stability and renormalization of Jackson networks with non-idling mobile servers
Frittelli, Marco	Collective Arbitrage and Superreplication Collective completeness and pricing hedging duality Does cooperation improve individual performance?
Friz, Peter K.	Nonlinear Rough Fokker-Planck Equations
Fuhrman, Marco	Optimal control of McKean-Vlasov systems under partial observation and hidden Markov switching
Fuhrman, Marco	Mean-field control of heterogeneous systems
Fuhrmann, Sven	An optimal transport foundation for a class of dynamically consistent risk measures
Fusai, Gianluca	Functional PCA for Risk-Neutral densities in Bayes space
G
Gaffi, Francesco	Exchangeable random permutations with an application to Bayesian graph matching
Galeati, Lucio	Chapter 4: The nonsmooth Kraichnan model Anomalous Regularization and Dissipation for 2D Euler Equations with Rough Kraichnan Noise Anomalous phenomena in the Kraichnan model of turbulence
Galeati, Lucio	Non-selection of Lagrangian trajectories in the zero-noise limit
Galeati, Lucio	Refined uniqueness results for 2D Euler and gSQG with rough Kraichnan noise
Gambaro, Anna Maria	Functional PCA for Risk-Neutral densities in Bayes space
Gapeev, Pavel	Optimal autonomous trading strategies in models based on Ornstein-Uhlenbeck processes with mean-reverting levels
Garelli, Samuele	Asymptotic and empirical properties of some classes of predictive distribution
Gargano, Gioele	New Distributed Beacon-Based Approaches for Multi-Parameter Monitoring: Sentinel-GRID
Gass, Louis	Random scars : overview and recent advances
Gasteratos, Ioannis	Kolmogorov equations for stochastic Volterra processes with singular kernels Rough differential equations for volatility
Gentiloni Silveri, Marta	Exponential Convergence Guarantees for Iterative Markovian Fitting
Ghani Varzaneh, Mazyar	A mild rough Gronwall lemma with applications to non-autonomous evolution equations
Ghiglietti, Andrea	A multi-factorial innovation model with feature-interaction
Ghilli, Daria	Mean field games in Hilbert spaces
Ghilotti, Lorenzo	Bayesian calculus and predictive characterizations of extended feature allocation models
Giacalone, Massimiliano	Nonparametric Inference for Multivariate and Complex Data Structures
Giacomelli, Fabio	Payment-failure times for random Lightning paths
Giakkoupis, George	The Minority Dynamics
Giampino, Alice	Cognitive data analysis with Bayesian Drift Diffusion Model
Giordano, Matteo	Bayesian nonparametric inference for covariate-driven point processes
Giordano, Nicola	On the Markov modulated Poisson process and its application in shock models Modeling Monkeypox transmission through stochastic dynamics with self-excitation
Giovagnini, Filippo	Non-selection of Lagrangian trajectories in the zero-noise limit
Girardi, Filippo	Quantitative Convergence of Trained Quantum Neural Networks to a Gaussian Process
Girardi, Giovanni	Well-posedness results and asymptotic estimates for fractional partial differential equations
Gnoatto, Alessandro	Modeling with neural SPDEs: data-driven Heath-Jarrow-Morton models
Gonzalez Casanova, Adrian	Dice processes, moment duality, and the propagation of exchangeability
Gozzi, Fausto	Mean field games in Hilbert spaces
Gramegna, Giovanni	Extreme value statistics for partial orders
Grasselli, Martino	Efficient simulation of a new class of Volterra-type SDEs
Grasselli, Maurizio	Stochastic diffuse interface models driven by conservative noise
Greco, Ernesto Maria	Stochastic McKean-Vlasov dynamics with singular Lennard-Jones drift: a mesoscale regularization
Greco, Giacomo	A semiconcavity approach to stability of entropic plans and exponential convergence of Sinkhorn's algorithm - Part 2 A semiconcavity approach to stability of entropic plans and exponential convergence of Sinkhorn’s algorithm - Part 1
Grotto, Francesco	Chapter 4: The nonsmooth Kraichnan model
Guada Azze, Abel	Robust Ergodic Singular Control of Compound–Poisson Jump Diffusions under Drift and Intensity Ambiguity
Gualà, Luciano	Approximate 2-hop neighborhoods on incremental graphs: An efficient lazy approach Maintaining k-MinHash Signatures over Fully-Dynamic Data Streams with Recovery
Gubinelli, Massimiliano	Large field problem in coercive singular PDEs The forward-backward approach to interacting fermionic states on the lattice
Gubinelli, Massimiliano	Flow equation approach to stochastic quantisation
Guindani, Michele	Cognitive data analysis with Bayesian Drift Diffusion Model
Gutierrez, Julian	Fast-slow mean-field games with common noise
H
Hager, Paul	The Volterra signature
Hamdi, Omer	Laplace's first law of errors applied to Markov and non-Markov diffusive motion
Harang, Fabian	The Volterra signature
Hartarsky, Ivailo	Can one hear the shape of a random matrix?
Hazra, Rajat	The spectrum of dense kernel-based random graphs Spectral properties of directed inhomogeneous graphs Finite vs Infinite-Mean Heavy-Tailed Fitness: Geometry and Connectivity in Inhomogeneous Random Graphs
Hebner, Jackson	Deep Hilbert Galerkin methods for PDEs on Hilbert spaces via derivative-informed operator learning with applications to stochastic optimal control of infinite-dimensional systems
Hebner, Jackson	Derivative-informed Hilbert neural operators solve PDEs on Hilbert spaces and infinite-dimensional optimal control problems
Hernandez, Anderson Melchor	Mean-field limit in quantum neural networks
Herrmann, Samuel	Approximation of Diffusion Exit Times from Bounded Domains via a Rejection-Based Random Walk Approximation of first passage times and hitting times for stochastic differential equations
Herry, Ronan	Modified logarithmic Sobolev inequalities for point processes
Hilario, Marcelo	Contact process on interchange process
Hitaj, Asmerilda	Robust quasi-convex and cash-subadditive risk measures: theory, duality, and applications
Howells, Aidan	Stability of Reaction Networks with Randomly Switching Parameters - part 2
Huang, Shuo	LEARNING THEORY OF SHALLOW NEURAL NETWORKS THROUGH THE LENS OF RKBS
Hult, Henrik	Large deviations for stochastic approximation: A weak convergence approach
I
Iafrate, Francesco	Theoretical guarantees for diffusion models — beyond log-concavity Learning Interaction Networks for High-Dimensional Diffusion Processes
Ilmonen, Pauliina	Parameter estimation in a fractional neuronal model
Imaizumi, Masaaki	Dimension-free statistical guarantees for fine-tuning of conditional diffusion models via PAC-Bayes bounds
Infusino, Maria	The moment problem beyond finite dimensions
Ishida, Sahoko	Computationally efficient hierarchical additive interaction models through hierarchical ANOVA kernels and Gaussian processes
Issoglio, Elena	A non-local singular McKean SDE Martingale Problems with Distributional Drift via Regularisation: Convergence of the Euler Scheme
J
Jacquier, Antoine	Rough differential equations for volatility
Jacquier, Vanessa	Estimate of the exit time for the Long Range Ising model on random regular graphs
Jaffe, Adam Q.	Score-based fields on manifolds for denoising
Janák, Josef	Exponential integrability of the solution and the invariant measure to the stochastic Burgers equation
Jenkins, Paul A.	Gamma duality and a tractable transition density for the Wright-Fisher diffusion with selection
Johnston, Samuel	The bead model and the macroscopic behaviour of Gelfand-Tsetlin patterns
Josephs, Nathaniel	Nested stochastic block model for simultaneously clustering networks and nodes Exchangeable random permutations with an application to Bayesian graph matching
K
Kachaiev, Oleksii	Learning ergodic dynamical systems from finite trajectories
Kallsen, Jan	Adaptive denoising diffusion modelling via random time reversal
Kanchaveli, George	Two-sample test for laws of random probabilities via optimal transport
Kern, Peter	Generalized Fractional Derivative Operators and Fractional Diffusion Equations Connected to Semistable Lévy Processes
Kharroubi, Idris	Mean-field control of heterogeneous systems
Khattab, Omar	When investors force the green transition: a two-dimensional singular stochastic control problem
Kivela, Mikko	Homophily within and across groups: a maximum-entropy framework for analyzing different social scales
Koike, Yuta	Sampling error bounds for the denoising diffusion probabilistic model via the Föllmer process
Koskela, Jere	Large-sample asymptotics of coalescent importance sampling algorithms
Kremling, Gitte	Theoretical guarantees for diffusion models — beyond log-concavity
Kuhlmann, Salma	The moment problem beyond finite dimensions
Kuna, Tobias	The moment problem beyond finite dimensions Ergodicity of a Stochastic Energy Balance Model for Global Temperature
Kupper, Michael	An optimal transport foundation for a class of dynamically consistent risk measures
L
Laarne, Petri	On spectral gaps of stochastic wave equations
Laeven, Roger	Measuring Financial Resilience Using Backward Stochastic Differential Equations
Lage, Svenja	Generalized Fractional Derivative Operators and Fractional Diffusion Equations Connected to Semistable Lévy Processes
Lange, Theresa	Transport noise in natural convection
Laurence, Lucie	Noise induced stabilization in stochastic chemical reaction network
Laurikkala, Milla	Parameter estimation in a fractional neuronal model
Lavenant, Hugo	Hilbert-Based Correlation Indices for Distributional Data Two-sample test for laws of random probabilities via optimal transport
Lederer, Johannes	Theoretical guarantees for diffusion models — beyond log-concavity
Lee, Darrick	Statistical inference for SDEs using Signatures
Legramanti, Sirio	Approximate Bayesian computation with kernel Wasserstein distance
Legrand, Alexandre	Pinning polymer model in correlated random environment
Leisen, Fabrizio	Asymptotic and empirical properties of some classes of predictive distribution
Leocata, Marta	Intermediate Interactions in Particle Systems: Applications to Fluid Dynamics and Biological Modeling Environmental asset, Optimal control, N-players game, Social Planner, Pigouvian tax, Mean field game
Leonenko, Nikolai N.	Non-local operators for Pearson diffusions
Liebrich, Felix-Benedikt	Some results on general $\Lambda$-quantiles
Ligabò, Marilena	Extreme value statistics for partial orders
Likibi Pellat, Rhoss	Entropic Regularization of Rearranged Stochastic Heat Equation
Lin, Lizhen	Exchangeable random permutations with an application to Bayesian graph matching
Lindhe, Adam	Large deviations for stochastic approximation: A weak convergence approach
Liu, Zhizhou	Solidification estimates for random walks on supercritical percolation clusters
Liu, Ziyang	Moment structure of the critical stochastic heat flow and independence of collision times of random walks
Lombardo, Edoardo	Optimal reinsurance with unobservable claim arrival intensity: a Stackelberg differential game
Longobardi, Maria	Permutation Tests and NPC Methodology. Theory and Application in Education, in Clinical Research and in Social Security
Lorrenzini, Silvia	Reinsurance games through quantile-constrained Choquet-Wasserstein approximations
Los, Dimitrios	The Minority Dynamics
Louis, Pierre-Yves	Urn models: interaction, synchronization and generalized reinforcement
Lucertini, Giacomo	Strong regularisation-by-noise for degenerate SDEs of kinetic type: results and open problems
Luongo, Eliseo	Anomalous Regularization and Dissipation for 2D Euler Equations with Rough Kraichnan Noise Averaging Dynamics and Wong-Zakai approximations for a Fast-Slow Navier-Stokes System Driven by fractional Brownian Motion Zero-noise selection and Large Deviations in $L^\infty_t L^p_x$ for the stochastic transport equation beyond DiPerna-Lions
Lyons, Terry	Statistical inference for SDEs using Signatures
M
Ma, Li	A partial likelihood approach to tree-based density modeling and its application in Bayesian inference
Maas, Javier	ResNets of All Shapes and Sizes: Quantitative Large-Scale Theory of Training Dynamics
Maccheroni, Fabio	Disappointment aversion and expectiles
Maffucci, Riccardo	Correlation Structure for Random Waves
Maggis, Marco	Does cooperation improve individual performance?
Maggis, Marco	Collective completeness and pricing hedging duality On consistency of optimal portfolio choice for state-dependent exponential utilities
Magnani, Chiara Gaia	Distribution-Free Outlier Detection and Enumeration
Magnanini, Elena	Convergence of subgraph densities in ERGMs
Maini, Leonardo	Non-universal fluctuations for functionals of random neural networks
Makai, Tamas	Diameters in preferential attachment model with random initial degrees Sharp thresholds for higher powers of Hamilton cycles in random graphs Do random initial degrees suppress concentration in preferential attachment graphs?
Malhotra, Nandan	The spectrum of dense kernel-based random graphs
Maltese, Teresa	New Distributed Beacon-Based Approaches for Multi-Parameter Monitoring: Sentinel-GRID
Mancinelli, Daniele	Optimal reinsurance with unobservable claim arrival intensity: a Stackelberg differential game
Mao, Tiantian	Disappointment aversion and expectiles
Marinucci, Domenico	Fractional Cointegration of Geometric Functionals
Marinucci, Domenico	Correlation Structure for Random Waves
Martin, James	Simultaneous global and local clustering in multiplex networks with covariate information
Martinez Leon, Uriel	Wasserstein Least Squares: statistics, geometry, and algorithms
Martini, Mattia	PDEs driven by Dirichlet-Ferguson laplacian in Wasserstein-Sobolev spaces
Martinucci, Barbara	On the Markov modulated Poisson process and its application in shock models Modeling Monkeypox transmission through stochastic dynamics with self-excitation
Mascari, Francesco	Hilbert-Based Correlation Indices for Distributional Data
Masiero, Federica	Bismut-Elworthy type formulae for BSDEs with degenerate noise
Massa, Emilio	New Distributed Beacon-Based Approaches for Multi-Parameter Monitoring: Sentinel-GRID
Mastrogiacomo, Elisa	Robust quasi-convex and cash-subadditive risk measures: theory, duality, and applications
Matteini, Elena	Finite vs Infinite-Mean Heavy-Tailed Fitness: Geometry and Connectivity in Inhomogeneous Random Graphs
Maurelli, Mario	Chapter 4: The nonsmooth Kraichnan model
Mazzonetto, Sara	Singular SDEs through interfaces: the threshold Cox-Ingersoll-Ross model
Mazzucchi, Sonia	Stochastic Differential Equations and the Martin-Siggia-Rose Formalism: An Algebraic-Analytic Correspondence
Meerschaert, Mark	Generalized Fractional Derivative Operators and Fractional Diffusion Equations Connected to Semistable Lévy Processes
Melchor Hernandez, Anderson	Quantitative Convergence of Trained Quantum Neural Networks to a Gaussian Process
Menafoglio, Alessandra	Conformal classification with tight marginal coverage in noisy settings
Mengoli, Emanuele	Association in Spatial Queueing-Filtering Networks
Menozzi, Stéphane	Strong regularisation-by-noise for degenerate SDEs of kinetic type: results and open problems
Meoli, Alessandra	Nonlocal α-size biasing: Stein characterization and one-sided concentration bound
Mercuri, Lorenzo	A Double Jump Stochastic Volatility model based on a Compound CARMA(p,q)-Hawkes
Merlo, Luca	Multivariate Robust Extremiles
Meyer-Brandis, Thilo	Collective Arbitrage and Superreplication
Michalski, Patrick	The moment problem beyond finite dimensions
Michelitsch, Thomas M.	Random walks with stochastic resetting in complex networks Target hitting counting process in networks and applications to evanescent random walks
Michielan, Riccardo	Homophily within and across groups: a maximum-entropy framework for analyzing different social scales
Michielan, Riccardo	Localized geometry detection in scale-free random graphs
Migliorati, Sonia	Cognitive data analysis with Bayesian Drift Diffusion Model
Mikosch, Thomas	Self-normalization of sums of dependent random variables
Milazzo, Alessandro	Optimal resource extraction with a random threshold
Minelli, Ida G.	Urn models: interaction, synchronization and generalized reinforcement
Mirebrahimi, Meghdad	Urn models: interaction, synchronization and generalized reinforcement
Mohamed, Hanene	Large-Scale Analysis of Multi-Scale Queuing Networks: Applications to Car-Sharing Systems
Mondelli, Marco	Learning from Surrogate Data: Weak-to-Strong Generalization through the Lens of High-Dimensional Regression
Montanaro, Elena	Branching Random Walks with ageing
Morale, Daniela	McKean–Vlasov dynamics with killing and memory: probabilistic representations of a McKean-type PDE Stochastic McKean-Vlasov dynamics with singular Lennard-Jones drift: a mesoscale regularization Well-posedness of a stochastic reacting particle system with non-local and Lennard–Jones interactions
Mosig, Eloy	Quantitative Master Theorems for Tensor Programs via the Wasserstein distance
Moyal, Pascal	Hydrodynamic limits of exploration processes on large random graphs
Muandet, Krikamol	Kernel Quantile Embeddings and Associated Probability Metrics
Mustaro, Verdiana	On some drift-based transformations of multidimensional diffusion processes and their applications
Musto, Sabina	Capturing Growth and Shock Dynamics through Lognormal Diffusions with Binomial Catastrophes
Mutti, Alessandro	Additive subordination of multiparameter Markov processes Two-factor models via subordination of multiparameter Markov processes
Mörters, Peter	The critical percolation window in growing random graphs
N
Nakakita, Shogo	Dimension-free statistical guarantees for fine-tuning of conditional diffusion models via PAC-Bayes bounds
Naldi, Emanuele	LEARNING THEORY OF SHALLOW NEURAL NETWORKS THROUGH THE LENS OF RKBS
Naslidnyk, Masha	Kernel Quantile Embeddings and Associated Probability Metrics
Natale, Emanuele	Threshold-Driven Streaming Graph: Expansion and Rumor Spreading
Nendel, Max	An optimal transport foundation for a class of dynamically consistent risk measures
Nieman, Dennis	Adaptive variational Gaussian processes
Niles-Weed, Jonathan	Wasserstein Least Squares: statistics, geometry, and algorithms
Nilssen, Torstein	Malliavin Calculus for rough stochastic differential equations
Nitzschner, Maximilian	Solidification estimates for random walks on supercritical percolation clusters
Nobili, Camilla	Transport noise in natural convection
Nourdin, Ivan	Statistical inference for interacting particle systems driven by the fractional Brownian motion
Novi Inverardi, Pier Luigi	An Analogue Fr\'echet-Shohat Moments Convergence Theorem for Indeterminate Moment Problems
Nyquist, Pierre	Large deviations for stochastic approximation: A weak convergence approach
O
Oberhauser, Harald	Statistical inference for SDEs using Signatures
Ocello, Antonio	On Forgetting and Stability of Score-based Generative models
Oddo, Giuseppe	New Distributed Beacon-Based Approaches for Multi-Parameter Monitoring: Sentinel-GRID
Orbanz, Peter	de Finetti Theorems for Constrained Exchangeable Graphs
Orrieri, Carlo	On the uniqueness of reversible invariant measures for SPDEs on the full space Pathwise uniqueness by noise for stochastic PDEs with singular drift
P
Padoan, Simone	Accurate Bayesian inference for tail risk extrapolation in time series Asymptotic theory for the likelihood-based block maxima method in time series
Pagliarani, Stefano	Numerical Approximation of McKean-Vlasov SDEs via Stochastic Gradient Descent Strong regularisation-by-noise for degenerate SDEs of kinetic type: results and open problems
Pagnini, Gianni	Master Equations for Continuous-Time Random Walks with Stochastic Resetting
Pagès, Gilles	Efficient simulation of a new class of Volterra-type SDEs
Pajola, Anna	Existence of Strong Randomized Equilibria in Mean-Field Games of Optimal Stopping with Common Noise
Pal Majumder, Abhishek	Stability of Reaction Networks with Randomly Switching Parameters - Part 1
Panaretos, Victor	Low-Dose Tomography of Random Fields and the Problem of Continuous Heterogeneity
Panaretos, Victor	A Risk Minimization Approach to PCA with Irregular Data
Panero, Francesca	Computationally efficient hierarchical additive interaction models through hierarchical ANOVA kernels and Gaussian processes
Pannier, Alexandre	Kolmogorov equations for stochastic Volterra processes with singular kernels
Papagiannouli, Katerina	Beyond NNGP: Large Deviations and Feature Learning in Bayesian Neural Networks
Papić, Ivan	Non-local operators for Pearson diffusions
Pappalettera, Umberto	Anomalous Regularization and Dissipation for 2D Euler Equations with Rough Kraichnan Noise Anomalous phenomena in the Kraichnan model of turbulence Zero-noise selection and Large Deviations in $L^\infty_t L^p_x$ for the stochastic transport equation beyond DiPerna-Lions
Paraggio, Paola	Capturing Growth and Shock Dynamics through Lognormal Diffusions with Binomial Catastrophes On the Markov modulated Poisson process and its application in shock models
Pasch, Matija	Sharp thresholds for higher powers of Hamilton cycles in random graphs
Pasquale, Francesco	Payment-failure times for random Lightning paths
Pasqualotto, Federico	A multiscale analysis of mean-field transformers in the moderate interaction regime
Pasqui, Emanuele	Hard wall repulsion for the discrete Gaussian free field in random environment in supercritical dimension
Passuello, Giacomo	Mixing trichotomy for random walks on directed stochastic block models
Passuello, Giacomo	Convergence of subgraph densities in ERGMs Spectral properties of directed inhomogeneous graphs
Pastorello, Davide	Quantitative Convergence of Trained Quantum Neural Networks to a Gaussian Process Mean-field limit in quantum neural networks
Patel, Lekha	Simultaneous global and local clustering in multiplex networks with covariate information
Pavliotis, Grigorios A.	Linearization of McKean SDEs with application to parameter estimation
Pavone, Arianna	A Quantum-Probabilistic Framework for Decision-Making under Vagueness
Peccati, Giovanni	Random scars : overview and recent advances
Pelizzari, Luca	The Volterra signature
Pepè Sciarria, Luca	Approximate 2-hop neighborhoods on incremental graphs: An efficient lazy approach Maintaining k-MinHash Signatures over Fully-Dynamic Data Streams with Recovery
Perchiazzo, Andrea	A Double Jump Stochastic Volatility model based on a Compound CARMA(p,q)-Hawkes
Perelli, Laura	Mean field optimal stopping and related N -player cooperative games
Pescatore, Lorenzo	Invariant measures for one-dimensional stochastic compressible fluid equations
Peskir, Goran	The Dubins Constants for Walsh's Spider Process
Petrella, Lea	Multivariate Robust Extremiles
Petrone, Sonia	Predictive Bernstein-von Mises Theorems
Petrova, Kalina	Sharp thresholds for higher powers of Hamilton cycles in random graphs
Petturiti, Davide	Reinsurance games through quantile-constrained Choquet-Wasserstein approximations
Pham, Huyên	Optimal control of McKean-Vlasov systems under partial observation and hidden Markov switching
Pham, Huyên	Mean-field control of heterogeneous systems
Pham, Le Tuyet Nhi	Non-Asymptotic Convergence of Discrete Diffusion Models: Masked and Random Walk dynamics
Pigato, Paolo	A stochastic volatility approximation for a tick-by-tick price model with mean-field interaction
Pina, Francisco	Nonparametric Estimation of the Diffusive Interaction Function in Particle Systems
Pinzi, Alessandro	The Wasserstein geometry of random measures
Pirozzi, Enrica	Parameter estimation in a fractional neuronal model
Pisano, Giulia	Analysis of Systems through the Regression Importance Signature
Piscopo, Gianfranco	Permutation Tests and NPC Methodology. Theory and Application in Education, in Clinical Research and in Social Security
Pistolato, Francesca	Limit theorems for space-time Gaussian fields on $\mathbb R^d$
Platen, Eckhard	Real-world models for multiple term structures: a unifying HJM semimartingale framework
Podolskij, Mark	Nonparametric Estimation of the Diffusive Interaction Function in Particle Systems
Poletti, Damiano	Some structural results for Gaussian Quantum Markov Semigroups
Polito, Federico	Random walks with stochastic resetting in complex networks Diameters in preferential attachment model with random initial degrees Do random initial degrees suppress concentration in preferential attachment graphs?
Prado, Fernando	Interacting vertex reinforced random walks on complete subgraphs with simultaneous and independent transitions
Pratelli, Luca	Asymptotic and empirical properties of some classes of predictive distribution
Principi, Giulio	Ordering and measuring the complexity of lotteries
Priola, Enrico	Chapter 2: Transport Equation and Kolmogorov equations
Pulido, Sergio	Explosions of stochastic Volterra equations
Pulvirenti, Elena	Metastability of Glauber dynamics with inhomogeneous coupling disorder
Q
Qiu, Jinniao	Optimal Control of Infinite-Dimensional Differential Systems with Randomness and Path-Dependence and Stochastic Path-Dependent Hamilton–Jacobi Equations
Quattropani, Matteo	Mixing trichotomy for random walks on directed stochastic block models
R
Rando, Marco	ZOBA: An Efficient Single-loop Zeroth-order Bilevel Optimization Algorithm
Raoul, Gael	Non-Asymptotic Convergence of Discrete Diffusion Models: Masked and Random Walk dynamics
Rebaudo, Giovanni	Separate Exchangeability as Modeling Principle in Bayesian Nonparametrics
Reiß, Markus	Statistical inference for SDEs using Signatures
Riascos, Alejandro P.	Random walks with stochastic resetting in complex networks
Ricciuti, Costantino	Random Flights and Anomalous Diffusion: A non-Markovian Take on Lorentz Processes
Riedel, Frank	Relative Performance Concerns in Financial Markets under Recursive Intertemporal Preferences
Rigo, Pietro	Asymptotic and empirical properties of some classes of predictive distribution
Rigonat, Alessia	Large-Scale Analysis of Multi-Scale Queuing Networks: Applications to Car-Sharing Systems
Rinaldi, Paolo	On the Stochastic Sine-Gordon Model from the Viewpoint of Quantum Field Theory Flow equation approach to stochastic quantisation
Rizi, Abbas K.	Homophily within and across groups: a maximum-entropy framework for analyzing different social scales
Rizzelli, Stefano	Accurate Bayesian inference for tail risk extrapolation in time series Asymptotic theory for the likelihood-based block maxima method in time series
Rizzello, Roberto	Constructing heavy-tailed directed hypergraphs
Robin, Vincent	Hydrodynamic limits of exploration processes on large random graphs
Romano, Angelo	New Distributed Beacon-Based Approaches for Multi-Parameter Monitoring: Sentinel-GRID
Romito, Marco	Chapter 1: Ergodicity and Markov Selections Global Optimization via Softmin Energy Minimization
Rosales, Rafael	Interacting vertex reinforced random walks on complete subgraphs with simultaneous and independent transitions
Rosasco, Lorenzo	LEARNING THEORY OF SHALLOW NEURAL NETWORKS THROUGH THE LENS OF RKBS Learning ergodic dynamical systems from finite trajectories
Rosati, Tommaso	Invariant measures for the open KPZ equation
Rosazza Gianin, Emanuela	Robust quasi-convex and cash-subadditive risk measures: theory, duality, and applications Measuring Financial Resilience Using Backward Stochastic Differential Equations
Rossi, Maurizia	Correlation Structure for Random Waves Limit theorems for functionals of stationary Gaussian fields
Rossi, Stefano	de Finetti theorem for quantum stochastic processes based on twisted products: conditional independence
Rroji, Edit	A Double Jump Stochastic Volatility model based on a Compound CARMA(p,q)-Hawkes
Rudà, Silvia	Optimal control of McKean-Vlasov systems under partial observation and hidden Markov switching
Ruggiero, Matteo	Gamma duality and a tractable transition density for the Wright-Fisher diffusion with selection
Rui, Giulia	Well-posedness of a stochastic reacting particle system with non-local and Lennard–Jones interactions
Russo, Francesco	A non-local singular McKean SDE
Rüdiger, Barbara	Boltzmann processes
S
Sacerdote, Laura	Diameters in preferential attachment model with random initial degrees Do random initial degrees suppress concentration in preferential attachment graphs?
Salvati, Nicola	Multivariate Robust Extremiles
Salvi, Michele	The spectrum of dense kernel-based random graphs Payment-failure times for random Lightning paths Threshold-Driven Streaming Graph: Expansion and Rumor Spreading
Sanfilippo, Giuseppe	The Reverse Hypergeometric distribution for attribute concentration in small groups
Sanna Passino, Francesco	Simultaneous global and local clustering in multiplex networks with covariate information
Sant, Jaromir	Gamma duality and a tractable transition density for the Wright-Fisher diffusion with selection
Santarcangelo, Vito	New Distributed Beacon-Based Approaches for Multi-Parameter Monitoring: Sentinel-GRID
Santoro, Leonardo	Score-based fields on manifolds for denoising
Sariev, Hristo	Exchangeable measure-valued Pólya sequences
Sauerwald, Thomas	The Minority Dynamics
Savaré, Giuseppe	The Wasserstein geometry of random measures
Saviozzi, Samuele	Global Optimization via Softmin Energy Minimization
Scagliotti, Alessandro	Normalizing Flows as Approximations of the Optimal Transport Map
Scalas, Enrico	A fractional Hawkes process Random Flights and Anomalous Diffusion: A non-Markovian Take on Lorentz Processes
Scarpa, Luca	Existence, uniqueness and asymptotic stability of invariant measures for the stochastic Allen–Cahn–Navier–Stokes system with singular potential Strong Feller property and irreducibility for stochastic PDEs with degenerate multiplicative noise Pathwise uniqueness by noise for stochastic PDEs with singular drift Stochastic diffuse interface models driven by conservative noise
Schiller, Leon	Sharp thresholds for higher powers of Hamilton cycles in random graphs
Schroeder, Lars	node2vec random walks: Regular graphs and recurrence
Scintu, Davide	New Distributed Beacon-Based Approaches for Multi-Parameter Monitoring: Sentinel-GRID
Seitz, Tim	A mild rough Gronwall lemma with applications to non-autonomous evolution equations
Semeraro, Patrizia	Multivariate additive subordination with applications in finance Multivariate tempered stable additive subordination for financial models Two-factor models via subordination of multiparameter Markov processes
Semeraro, Patrizia	Additive subordination of multiparameter Markov processes
Sen, Bodhisattva	Score-based fields on manifolds for denoising
Sesia, Matteo	Distribution-Free Outlier Detection and Enumeration
Sesia, Matteo	Conformal classification with tight marginal coverage in noisy settings
Sfragara, Matteo	Competing growth on the configuration model via first-passage percolation and long-range jumps
Shalova, Anna	Random Quadratic Form on a Sphere: Synchronization by Common Noise
Shen, Yunyi	Beyond Schrödinger Bridges for Learning Trajectories from Snapshot Samples
Shevchenko, Radomyra	Statistical inference for interacting particle systems driven by the fractional Brownian motion
Shuler, Kurtis W.	Simultaneous global and local clustering in multiplex networks with covariate information
Simon, Marielle	Scaling limits of the one-dimensional facilitated exclusion process
Simonetti, Andrea	The Reverse Hypergeometric distribution for attribute concentration in small groups
Singh, Harprit	Recent Developments on Singular SPDEs in Heterogeneous Media and Curved Spaces
Siri, Paola	Stochastic ordering tools for reaction network models
Sirignano, Justin	Deep Hilbert Galerkin methods for PDEs on Hilbert spaces via derivative-informed operator learning with applications to stochastic optimal control of infinite-dimensional systems Derivative-informed Hilbert neural operators solve PDEs on Hilbert spaces and infinite-dimensional optimal control problems
Sodini, Giacomo Enrico	PDEs driven by Dirichlet-Ferguson laplacian in Wasserstein-Sobolev spaces
Solari, Aldo	Distribution-Free Outlier Detection and Enumeration
Soprano-Loto, Nahuel	The geometry of the stability region of randomly modulated queuing systems
Soprano-Loto, Nahuel	Association in Spatial Queueing-Filtering Networks
Sorella, Massimo	Non-selection of Lagrangian trajectories in the zero-noise limit
Spille, Johan Benedikt	A Novel Approach to Peng's Maximum Principle for McKean-Vlasov Stochastic Differential Equations
Spina, Serena	First-passage times through closed curves for bivariate diffusion processes, simulations and comparisons based on stochastic orderings On some drift-based transformations of multidimensional diffusion processes and their applications
Stabile, Gabriele	Optimal Annuitization under Partially Observable Mortality
Stanca, Lorenzo	Relative Performance Concerns in Financial Markets under Recursive Intertemporal Preferences Event Valence and Subjective Probability
Stannat, Wilhelm	A Novel Approach to Peng's Maximum Principle for McKean-Vlasov Stochastic Differential Equations Nonlinear Rough Fokker-Planck Equations
Stecconi, Michele	New Chaos Decomposition of Gaussian Nodal Volumes
Stecconi, Michele	Statistics on Yau's conjecture
Stecconi, Michele	Random scars : overview and recent advances
Stefani, Ilaria	Economic growth models on networks with regime-switching dynamics
Stegehuis, Clara	Homophily within and across groups: a maximum-entropy framework for analyzing different social scales node2vec random walks: Regular graphs and recurrence
Stegehuis, Clara	Localized geometry detection in scale-free random graphs
Stoecker, Almond	A Risk Minimization Approach to PCA with Irregular Data
Strauch, Claudia	Adaptive denoising diffusion modelling via random time reversal
Straziota, Alessandro	Approximate 2-hop neighborhoods on incremental graphs: An efficient lazy approach Maintaining k-MinHash Signatures over Fully-Dynamic Data Streams with Recovery
Stromieri, Matteo	Approximate 2-hop neighborhoods on incremental graphs: An efficient lazy approach
Sulem, Deborah	Bayesian nonparametric estimation of spatio-temporal Hawkes processes
Sundar, Padmanabhan	Boltzmann processes
Suárez-Llorens, Alfonso	Analysis of Systems through the Regression Importance Signature
Swiech, Andrzej	Mean field games in Hilbert spaces Mean-Field Games in Hilbert Spaces: A Viscosity Approach
Szabó, Botond	Adaptive variational Gaussian processes
T
Tagliani, Aldo	An Analogue Fr\'echet-Shohat Moments Convergence Theorem for Indeterminate Moment Problems
Taheri, Mahsa	Theoretical guarantees for diffusion models — beyond log-concavity
Tahraoui, Yassine	Hookean dumbbell model for polymers, stretching noise and turbulence
Tamanini, Luca	A semiconcavity approach to stability of entropic plans and exponential convergence of Sinkhorn's algorithm - Part 2 A semiconcavity approach to stability of entropic plans and exponential convergence of Sinkhorn’s algorithm - Part 1
Tankov, Peter	Fast-slow mean-field games with common noise When investors force the green transition: a two-dimensional singular stochastic control problem
Tapia, Nikolas	Statistical inference for SDEs using Signatures
Tappe, Stefan	Real-world models for multiple term structures: a unifying HJM semimartingale framework Invariant cones for jump-diffusions in infinite dimensions
Tarantino, Marco	Guidelines for Cubature-based Likelihood approximation of 3D Poisson Point Processes Functional marked self-exciting point process models
Tarquini, Leonardo	McKean–Vlasov dynamics with killing and memory: probabilistic representations of a McKean-type PDE
Tarsia, Marco	Integrated expectile-based measures of inequality
Tindel, Samy	The Volterra signature
Toaldo, Bruno	On some stochastic models of Anomalous Diffusion Random Flights and Anomalous Diffusion: A non-Markovian Take on Lorentz Processes
Todino, Anna Paola	New Chaos Decomposition of Gaussian Nodal Volumes Statistics on Yau's conjecture Berry-Heisenberg random waves
Tong, Xin	Conformal classification with tight marginal coverage in noisy settings
Torres Ruiz, Francisco De Asìs	Capturing Growth and Shock Dynamics through Lognormal Diffusions with Binomial Catastrophes
Torricelli, Lorenzo	Parametric local volatility: Exact prices lead to sound continuous Markovian models Thorin processes: subordination and applications
Trevisan, Dario	Quantitative Master Theorems for Tensor Programs via the Wasserstein distance
Triggiano, Francesco	Averaging Dynamics and Wong-Zakai approximations for a Fast-Slow Navier-Stokes System Driven by fractional Brownian Motion
Troiani, Alessio	Node immunization via random forests
Trottner, Lukas	Adaptive denoising diffusion modelling via random time reversal
Tumminello, Michele	The Reverse Hypergeometric distribution for attribute concentration in small groups
Turchi, Nicola	Strong disorder for Stochastic Heat Flow and 2D Directed Polymers
Tymoshenko, Olena	Modeling Monkeypox transmission through stochastic dynamics with self-excitation
U
Ugolini, Stefania	McKean–Vlasov dynamics with killing and memory: probabilistic representations of a McKean-type PDE Well-posedness of a stochastic reacting particle system with non-local and Lennard–Jones interactions A stochastic approach to time-dependent BEC
Ungaretti, Daniel	Contact process on interchange process
Urbani, Cristina	Ergodicity of a Stochastic Energy Balance Model for Global Temperature
V
Vaiter, Samuel	ZOBA: An Efficient Single-loop Zeroth-order Bilevel Optimization Algorithm
Valesin, Daniel	The grass-bushes-trees process on a scale-free network Contact process on interchange process
Vandekerckhove, Joachim	Cognitive data analysis with Bayesian Drift Diffusion Model
Vantaggi, Barbara	Reinsurance games through quantile-constrained Choquet-Wasserstein approximations
Vantini, Simone	A Conformal Prediction Approach to Predict Populations of Graphs
Vantini, Simone	Conformal classification with tight marginal coverage in noisy settings
Vares, Maria Eulalia	Contact process on interchange process
Vaz, Jayme	Non-local operators for Pearson diffusions
Velkey, Vince	de Finetti Theorems for Constrained Exchangeable Graphs
Verloop, Ina Maria	The geometry of the stability region of randomly modulated queuing systems
Vidotto, Anna	Fractional Cointegration of Geometric Functionals
Viitasaari, Lauri	Parameter estimation in a fractional neuronal model
Villa, Silvia	Learning ergodic dynamical systems from finite trajectories
Villeneuve, Stephane	Continuous-Time Dynamic Contracting With Limited Commitment
Vitelli, Marco	Parametric local volatility: Exact prices lead to sound continuous Markovian models
Vitullo, Sergio	New Distributed Beacon-Based Approaches for Multi-Parameter Monitoring: Sentinel-GRID
W
Waghmare, Kartik	A Risk Minimization Approach to PCA with Irregular Data
Wagner, Stephan	Can one hear the shape of a random matrix?
Walsh, Harriet	Stationary half-space random growth, via combinatorics
Wang, Ruodu	Disappointment aversion and expectiles
Wang, Y. X. Rachel	Conformal classification with tight marginal coverage in noisy settings
Wang, Yuqiong	Play longer when It matters: optimal match length in knock-out tournaments
Wessels, Lukas	Mean-Field Games in Hilbert Spaces: A Viscosity Approach
Wiuf, Carsten	Stability of Reaction Networks with Randomly Switching Parameters - Part 1
Wu, Guo-Jhen	Large deviations for stochastic approximation: A weak convergence approach
Wu, Qinyu	Disappointment aversion and expectiles
X
Xu, Chuang	Stability of Reaction Networks with Randomly Switching Parameters - part 2
Y
Yang, Yang	Optimal Control of Infinite-Dimensional Differential Systems with Randomness and Path-Dependence and Stochastic Path-Dependent Hamilton–Jacobi Equations
Yang, Yang	Optimal Control of Infinite-Dimensional Differential Systems with Randomness and Path-Dependence and Stochastic Path-Dependent Hamilton–Jacobi Equations
Yun, Ho	Low-Dose Tomography of Random Fields and the Problem of Continuous Heterogeneity
Z
Zanella, Margherita	Existence, uniqueness and asymptotic stability of invariant measures for the stochastic Allen–Cahn–Navier–Stokes system with singular potential Strong Feller property and irreducibility for stochastic PDEs with degenerate multiplicative noise
Zanoni, Andrea	Linearization of McKean SDEs with application to parameter estimation
Zass, Alexander	Long-time behaviour for birth-and-death dynamics in the continuum
Zeni, Gianluca	A Conformal Prediction Approach to Predict Populations of Graphs
Ziccardi, Isabella	The Minority Dynamics Threshold-Driven Streaming Graph: Expansion and Rumor Spreading
Zucal, Giulio	Probability graphons and large deviations for random weighted graphs Exploring the space of graphs with fixed discrete curvatures
Zucca, Cristina	Approximation of first passage times and hitting times for stochastic differential equations
Zucca, Fabio	Branching Random Walks with ageing
Zullino, Marco	Measuring Financial Resilience Using Backward Stochastic Differential Equations

Disclaimer | Powered by EasyChair Smart Program