Talks

The 5th Italian Meeting on Probability and Mathematical Statistics , June 8-12, 2026, Palermo, Italy, IMPMS 2026

Mohamed Taki Eddine Abedesselam, Fabio Giacomelli, Francesco Pasquale and Michele Salvi. Payment-failure times for random Lightning paths (details)
Eduardo Abi Jaber. Efficient Simulation of Affine Volterra Processes (details)
Mario Abundo. Can the introduction of resetting expedite the first passage of a diffusion process? (details)
Zachary Adams. (Moment) Lyapunov stability of parabolic SPDEs (details)
Davide Addona, Davide Augusto Bignamini, Carlo Orrieri and Luca Scarpa. Pathwise uniqueness by noise for stochastic PDEs with singular drift (details)
Davide Addona and Federica Masiero. Bismut-Elworthy type formulae for BSDEs with degenerate noise (details)
Ankush Agarwal, Andrea Amato, Stefano Pagliarani and Goncalo Dos Reis. Numerical Approximation of McKean-Vlasov SDEs via Stochastic Gradient Descent (details)
Andrea Agazzi. Deep Transformers as Mean-field Interacting Particle Systems (details)
Antonio Agresti. Chapter 3: Scaling limits and delayed blow-up by transport noise (details)
Giacomo Aletti, Irene Crimaldi and Andrea Ghiglietti. A multi-factorial innovation model with feature-interaction (details)
Aurelien Alfonsi. Stochastic Volterra Equations on Convex Domains (details)
Mattia Allemandri, Tiziano De Angelis and Alessandro Milazzo. Optimal resource extraction with a random threshold (details)
Giovanni Amici, Laura Ballotta and Patrizia Semeraro. Multivariate additive subordination with applications in finance (details)
Martina Amongero and Pierpaolo De Blasi. Bayesian Nonparametric Community Detection in Stochastic Block Models with Structural Constraints (details)
Chiara Amorino, Ivan Nourdin and Radomyra Shevchenko. Statistical inference for interacting particle systems driven by the fractional Brownian motion (details)
Luisa Andreis. Large deviations for spatial coagulation with diffusion (details)
Flora Angileri, Andrea Clementi, Emanuele Natale, Michele Salvi and Isabella Ziccardi. Threshold-Driven Streaming Graph: Expansion and Rumor Spreading (details)
Giacomo Ascione, Piero de Lellis and Roberto Rizzello. Constructing heavy-tailed directed hypergraphs (details)
Filippo Ascolani. Posterior behaviour of the stick-breaking weights for Bayesian infinte mixture models (details)
Luca Avena, Gianmarco Bet, Lars Schroeder and Clara Stegehuis. node2vec random walks: Regular graphs and recurrence (details)
Michele Azzone, Lorenzo Torricelli and Marco Vitelli. Parametric local volatility: Exact prices lead to sound continuous Markovian models (details)
François Baccelli, Ke Feng and Sergey Foss. Poisson Hail on a Wireless Ground (details)
Marco Bagnara, Michele Coghi, Lucio Galeati, Francesco Grotto and Mario Maurelli. Chapter 4: The nonsmooth Kraichnan model (details)
Marco Bagnara and Lucio Galeati. Refined uniqueness results for 2D Euler and gSQG with rough Kraichnan noise (details)
Simone Baldassarri. Infection models on dense dynamic random graphs (details)
Nikolay Barashkov, Giacomo Di Gesu and Petri Laarne. On spectral gaps of stochastic wave equations (details)
Marco Battiston. Almost conditionally identically distributed random variables (details)
Carlo Bellingeri and Emilio Ferrucci. Wick integrals (details)
Carlo Bellingeri. Non-chaotic interacting particle systems (details)
Fabio Bellini and Felix-Benedikt Liebrich. Some results on general $\Lambda$-quantiles (details)
Fabio Bellini, Fabio Maccheroni, Tiantian Mao, Ruodu Wang and Qinyu Wu. Disappointment aversion and expectiles (details)
Mario Beraha, Federico Camerlenghi and Lorenzo Ghilotti. Bayesian calculus and predictive characterizations of extended feature allocation models (details)
Quentin Berger, Francesco Caravenna and Nicola Turchi. Strong disorder for Stochastic Heat Flow and 2D Directed Polymers (details)
Edoardo Berton, Marzia De Donno and Marco Maggis. On consistency of optimal portfolio choice for state-dependent exponential utilities (details)
Gianmarco Bet, Riccardo Michielan and Clara Stegehuis. Localized geometry detection in scale-free random graphs (details)
Alessandra Bianchi, Francesca Collet, Elena Magnanini and Giacomo Passuello. Convergence of subgraph densities in ERGMs (details)
Alessandra Bianchi, Giacomo Passuello and Matteo Quattropani. Mixing trichotomy for random walks on directed stochastic block models (details)
Valeria Bignozzi, Luca Merlo, Lea Petrella and Nicola Salvati. Multivariate Robust Extremiles (details)
Elia Bisi, Fabio Deelan Cunden, Giovanni Gramegna and Marilena Ligabò. Extreme value statistics for partial orders (details)
Elia Bisi, Fabio Deelan Cunden, Ivailo Hartarsky and Stephan Wagner. Can one hear the shape of a random matrix? (details)
Alexandra Blessing, Mazyar Ghani Varzaneh and Tim Seitz. A mild rough Gronwall lemma with applications to non-autonomous evolution equations (details)
Stefano Bonaccorsi. Random evolution on combinatorial and metric graphs (details)
Alessandro Bondi and Martin Forde. Lévy processes as weak limits of rough Heston models (details)
Luca Bondi, Elena Issoglio and Francesco Russo. A non-local singular McKean SDE (details)
Ofelia Bonesini, Emilio Ferrucci, Ioannis Gasteratos and Antoine Jacquier. Rough differential equations for volatility (details)
Ofelia Bonesini, Antoine Jacquier and Alexandre Pannier. Rough Volatility, Path-Dependent PDEs and Weak Rates of Convergence (details)
Clément Bonet. Flowing Datasets with Wasserstein over Wasserstein Gradient Flows (details)
Alberto Bonicelli, Beatrice Costeri, Claudio Dappiaggi and Paolo Rinaldi. On the Stochastic Sine-Gordon Model from the Viewpoint of Quantum Field Theory (details)
Alberto Bonicelli, Claudio Dappiaggi, Nicolo Drago and Sonia Mazzucchi. Stochastic Differential Equations and the Martin-Siggia-Rose Formalism: An Algebraic-Analytic Correspondence (details)
Luigi Borasi, Francesco Carlo De Vecchi and Stefania Ugolini. A stochastic approach to time-dependent BEC (details)
Teresa Bortolotti, Y. X. Rachel Wang, Xin Tong, Alessandra Menafoglio, Simone Vantini and Matteo Sesia. Conformal classification with tight marginal coverage in noisy settings (details)
Andrea Bovo, Tiziano De Angelis and Stephane Villeneuve. Continuous-Time Dynamic Contracting With Limited Commitment (details)
Sacha Braun. Conditional Coverage in Conformal Prediction: Tradeoffs and Insights (details)
Jochen Broecker, Piermarco Cannarsa, Giulia Carigi, Tobias Kuna and Cristina Urbani. Ergodicity of a Stochastic Energy Balance Model for Global Temperature (details)
Giuseppe Bruno, Federico Pasqualotto and Andrea Agazzi. A multiscale analysis of mean-field transformers in the moderate interaction regime (details)
Fabio Bugini, Michele Coghi and Torstein Nilssen. Malliavin Calculus for rough stochastic differential equations (details)
Fabio Bugini, Peter K. Friz and Wilhelm Stannat. Nonlinear Rough Fokker-Planck Equations (details)
Luana Bulla. Modeling Vagueness in Large Language Models: A Hybrid Logical-Probabilistic Perspective on Moral Classification and Constrained Generation (details)
Bruno Buonaguidi and Francesco Ballarin. The Wiener Disorder Problem with Random Post-Disorder Drift (details)
Federico Butori. Background {Vlasov} equations and {Young} measures for passive scalar and vector advection equations under special stochastic scaling limits (details)
Matteo Buttarazzi, Tiziano De Angelis and Gabriele Stabile. Optimal Annuitization under Partially Observable Mortality (details)
Matteo Cagnotti and Elena Issoglio. Martingale Problems with Distributional Drift via Regularisation: Convergence of the Euler Scheme (details)
Giorgia Callegaro, Ofelia Bonesini, Martino Grasselli and Gilles Pagès. Efficient simulation of a new class of Volterra-type SDEs (details)
Fabio Camilli. Stationary Mean Field Games on networks with sticky transition condition (details)
Valentina Cammarota, Riccardo Maffucci, Domenico Marinucci and Maurizia Rossi. Correlation Structure for Random Waves (details)
Valentina Cammarota. Critical Points and Euler characteristic for Time-Dependent Spherical Random Fields (details)
Concetta Campailla. Some recent results on the Stochastic Sandpile Model (details)
Ciro Campolina. Intrinsic stochasticity in the Landau–Lifshitz–Navier–Stokes equations on logarithmic lattices (details)
Federico Cannerozzi. Stationary Mean-Field singular control of an Ornstein-Uhlenbeck process (details)
Alessia Caponera, Domenico Marinucci and Anna Vidotto. Fractional Cointegration of Geometric Functionals (details)
Andrea Capotorti and Marco Baioletti. Optimizing Fuzzy Partitions for Visual Sensors (details)
Daniele Cappelletti, Aidan Howells and Chuang Xu. Stability of Reaction Networks with Randomly Switching Parameters - part 2 (details)
Daniele Cappelletti, Giulio Cuniberti and Paola Siri. Stochastic ordering tools for reaction network models (details)
Daniele Cappelletti, Abhishek Pal Majumder and Carsten Wiuf. Stability of Reaction Networks with Randomly Switching Parameters - Part 1 (details)
Luigia Caputo, Enrica Pirozzi, Pauliina Ilmonen, Milla Laurikkala and Lauri Viitasaari. Parameter estimation in a fractional neuronal model (details)
Francesco Caravenna and Anna Donadini. Noise sensitivity and directed polymers (details)
Tommaso Carazzato. On the Lyapunov exponent of discrete and continuum generalized Ising-models (details)
Marco Carfagnini and Anna Paola Todino. Berry-Heisenberg random waves (details)
David Carl, Simone Padoan and Stefano Rizzelli. Accurate Bayesian inference for tail risk extrapolation in time series (details)
David Carl, Simone Padoan and Stefano Rizzelli. Asymptotic theory for the likelihood-based block maxima method in time series (details)
Lydia Castronovo. Multi-Criteria Decision-Making, Conditional Probabilities, and Fuzzy Sets (details)
Marta Catalano and Claudio Del Sole. Hierarchical Random Measures without Tables (details)
Marta Catalano, Hugo Lavenant and Francesco Mascari. Measuring partial exchangeability with reproducing kernel Hilbert spaces (details)
Alekos Cecchin and Jodi Dianetti. Convergence for linear quadratic potential mean field games (details)
Lucia Celli. Edgeworth Expansions and Non-Gaussian Corrections in Finite-Width Wide Neural Networks (details)
Francesca Centrone, Asmerilda Hitaj, Elisa Mastrogiacomo and Emanuela Rosazza Gianin. Robust quasi-convex and cash-subadditive risk measures: theory, duality, and applications (details)
Ilya Chevyrev and Massimiliano Gubinelli. Large field problem in coercive singular PDEs (details)
Alberto Chiarini, Giovanni Conforti, Giacomo Greco and Luca Tamanini. A semiconcavity approach to stability of entropic plans and exponential convergence of Sinkhorn's algorithm - Part 2 (details)
Alberto Chiarini, Giovanni Conforti, Giacomo Greco and Luca Tamanini. A semiconcavity approach to stability of entropic plans and exponential convergence of Sinkhorn’s algorithm - Part 1 (details)
Alberto Chiarini and Alessandra Faggionato. Fluctuations of the Simple Exclusion Process on Point Processes (details)
Alberto Chiarini, Zhizhou Liu and Maximilian Nitzschner. Solidification estimates for random walks on supercritical percolation clusters (details)
Sören Christensen, Jan Kallsen, Claudia Strauch and Lukas Trottner. Adaptive denoising diffusion modelling via random time reversal (details)
Andrea Cinfrignini, Silvia Lorrenzini, Davide Petturiti and Barbara Vantaggi. Reinsurance games through quantile-constrained Choquet-Wasserstein approximations (details)
Fabrizio Cinque. Multidimensional random motions with a natural number of velocities (details)
Andrea Clementi, Luciano Gualà, Luca Pepè Sciarria and Alessandro Straziota. Maintaining k-MinHash Signatures over Fully-Dynamic Data Streams with Recovery (details)
Samuel Cohen, Filippo de Feo, Jackson Hebner and Justin Sirignano. Deep Hilbert Galerkin methods for PDEs on Hilbert spaces via derivative-informed operator learning with applications to stochastic optimal control of infinite-dimensional systems (details)
Samuel Cohen, Filippo de Feo, Jackson Hebner and Justin Sirignano. Universal Approximation of Nonlinear Operators and Their Derivatives (details)
Katia Colaneri, Alessio D'Amato and Ruediger Frey. Strategic Focus or Technological Neutrality? On the Optimal Mix of Green Investment and Carbon Capture and Storage Research in a Budget-Constraint World (details)
Fausto Colantoni. Generalizations of Elastic Brownian Motion (details)
Elisabetta Cornacchia. Learning with Neural Networks on Structured Inputs (details)
Joshua Corneck, Edward A. K. Cohen, James Martin, Lekha Patel, Kurtis W. Shuler and Francesco Sanna Passino. Simultaneous global and local clustering in multiplex networks with covariate information (details)
Clément Cosco, Francesca Cottini and Anna Donadini. Directed polymer in spatially correlated environment (details)
Andrea Cosso, Laura D'Andolfi and Roxana Dumitrescu. A probabilistic approach for optimal stopping mean-field games (details)
Alessandra Cretarola. Stochastic Evolution Inclusions with Nonlocal Initial Conditions (details)
Irene Crimaldi, Pierre-Yves Louis, Ida G. Minelli and Meghdad Mirebrahimi. Urn models: interaction, synchronization and generalized reinforcement (details)
Gianluca Crippa, Eliseo Luongo and Umberto Pappalettera. Zero-noise selection and Large Deviations in $L^\infty_t L^p_x$ for the stochastic transport equation beyond DiPerna-Lions (details)
Lorenzo Cristofaro. Fractional Calculus and Gaussian Processes: extensions and alternatives to fractional Brownian motion (details)
Christa Cuchiero, Claudio Fontana and Alessandro Gnoatto. Modeling with neural SPDEs: data-driven Heath-Jarrow-Morton models (details)
Matteo D'Achille. A jewel and two dials in the ideal Poisson--Voronoi tessellation (details)
Nicoletta D'Angelo, Marco Tarantino, Giada Adelfio and Marcello Chiodi. Functional marked self-exciting point process models (details)
Bernardo D'Auria and Markus Fischer. Mean field games with option to buy information (details)
Giuseppe D'Onofrio, Thomas M. Michelitsch, Federico Polito and Alejandro P. Riascos. Random walks with stochastic resetting in complex networks (details)
Giuseppe D'Onofrio, Alessandro Mutti and Patrizia Semeraro. Two-factor models via subordination of multiparameter Markov processes (details)
Giuseppe D'Onofrio, Alessandro Mutti and Patrizia Semeraro. Additive subordination of multiparameter Markov processes (details)
Mirko D'Ovidio. Non-local dynamic boundary conditions for sticky Brownian motions on smooth domains (details)
Mirko D'Ovidio. Sticky vertices with energy accumulation (details)
Marta Dai Pra. Multi-type logistic branching processes with selection: frequency process and genealogy for large carrying capacities (details)
Samuel Daudin. Mean-Field Optimal Control Approach to Deep Learning (details)
Carlo De Ambroggio, Federico Polito, Laura Sacerdote and Tamas Makai. Diameters in preferential attachment model with random initial degrees (details)
Anna De Crescenzo, Filippo de Feo, Marco Fuhrman, Idris Kharroubi and Huyên Pham. Mean-field control of heterogeneous systems (details)
Paolo De Fazio. Second Quantization and Evolution Operators in infinite dimension (details)
Alessandro De Gregorio. Stochastic solutions to abstract telegraph-type equations involving fractional dynamics (details)
Nicolò De Ponti, Giacomo Enrico Sodini and Luca Tamanini. The infimal convolution structure of the Hellinger-Kantorovich distance (details)
Francesco De Vecchi, Luca Fresta and Massimiliano Gubinelli. The forward-backward approach to interacting fermionic states on the lattice (details)
Francesco Carlo De Vecchi, Davide Augusto Bignamini and Carlo Orrieri. On the uniqueness of reversible invariant measures for SPDEs on the full space (details)
Madalina Deaconu, Samuel Herrmann and Cristina Zucca. Approximation of first passage times and hitting times for stochastic differential equations (details)
Susanna Dehò, Francesco Carlo de Vecchi, Paola Morando and Stefania Ugolini. Symmetries of SDEs: from invariance properties to integration by parts formulas (details)
Simone Del Vecchio. On the Ryll-Nardzewski Theorem for Quantum Stochastic Processes (details)
Lorenzo Dello Schiavo. Massive Particle Systems, Wasserstein Brownian Motions, and the Dean--Kawasaki SPDE (details)
Simmaco Di Lillo. Spectral and Geometric Phase Transitions in Deep Neural Networks (details)
Elvira Di Nardo. Efficient computation and estimation of generalized cumulants via complementary set partitions (details)
Andrea Di Primio, Maurizio Grasselli and Luca Scarpa. Stochastic diffuse interface models driven by conservative noise (details)
Andrea Di Primio, Luca Scarpa and Margherita Zanella. Existence, uniqueness and asymptotic stability of invariant measures for the stochastic Allen–Cahn–Navier–Stokes system with singular potential (details)
Mohamed Habib Aliou Diallo Aoudi, Pascal Moyal and Vincent Robin. Hydrodynamic limits of exploration processes on large random graphs (details)
Pierfrancesco Dionigi. Exponential Random Edge-Colored Graphs via Probability Graphons: Free Energies and Extremal Colorings (details)
Alessandro Doldi, Marco Frittelli and Marco Maggis. Does cooperation improve individual performance? (details)
Alessandro Doldi, Marco Frittelli and Marco Maggis. Collective completeness and pricing hedging duality (details)
Emanuele Dolera, Stefano Favaro and Edoardo Mainini. A new approach to Bayesian consistency rates via Wasserstein dynamics (details)
Holger Drees. Testing for Multivariate Regular Variation (details)
Roxana Dumitrescu, Julian Gutierrez and Peter Tankov. Fast-slow mean-field games with common noise (details)
Benjamin Dupuis, Dario Shariatian, Maxime Haddouche, Alain Durmus and Umut Simsekli. Algorithm- and Data-Dependent Generalization Bounds for Diffusion Models (details)
Claudio Durastanti. Spectral Bayesian Regression on the Sphere (details)
Katharina Eichinger, Louis-Pierre Chaintron and Giovanni Conforti. Properties of diffusion transport maps via creation of log-semiconcavity along heat flows (details)
Erik Ekström and Yuqiong Wang. Play longer when It matters: optimal match length in knock-out tournaments (details)
Lorenzo Facciaroni, Costantino Ricciuti, Enrico Scalas and Bruno Toaldo. Random Flights and Anomalous Diffusion: A non-Markovian Take on Lorentz Processes (details)
Giuseppe Failla. An Application of Fuzzy Set Theory and Interval-Based Distances for Expert Judgment Aggregation (details)
Martina Favero and Jere Koskela. Large-sample asymptotics of coalescent importance sampling algorithms (details)
Guy Fayolle and Christine Fricker. Stability and renormalization of Jackson networks with non-idling mobile servers (details)
Salvatore Federico, Fausto Gozzi, Daria Ghilli and Andrzej Swiech. Mean field games in Hilbert spaces (details)
John Fernley and Daniel Valesin. The grass-bushes-trees process on a scale-free network (details)
Giorgio Ferrari, Andrea Amato and Federico Cannerozzi. Singular Mean-field Control via Singular Mean-field Games (details)
Simone Ferrari. Hypercontractivity type property for generalized Mehler semigroups (details)
Benedetta Ferrario. The nonlinear Schrödinger equation with multiplicative noise and arbitrary power of the nonlinearity (details)
Giuseppe Filippone. Artificial Experts in Multi-Criteria Group Decision-Making (details)
Lorenzo Fiorito, Shuo Huang, Emanuele Naldi, Ernesto De Vito and Lorenzo Rosasco. LEARNING THEORY OF SHALLOW NEURAL NETWORKS THROUGH THE LENS OF RKBS (details)
Claudio Fontana, Eckhard Platen and Stefan Tappe. Real-world models for multiple term structures: a unifying HJM semimartingale framework (details)
Matteo Fontana, Anna Calissano, Simone Vantini and Gianluca Zeni. A Conformal Prediction Approach to Predict Populations of Graphs (details)
Sandra Fortini and Sonia Petrone. Predictive Bernstein-von Mises Theorems (details)
Nicola Fraccarolo, Alekos Cecchin and Luca Di Persio. Uniqueness for Finite-State Mean Field Games with Non-Separable Hamiltonians (details)
Beatrice Franzolini and Francesco Gaffi. Dynamic network clustering via connectivity pattern persistence and node-level dependence (details)
Marco Fuhrman, Huyên Pham and Silvia Rudà. Optimal control of McKean-Vlasov systems under partial observation and hidden Markov switching (details)
Sven Fuhrmann, Michael Kupper and Max Nendel. An optimal transport foundation for a class of dynamically consistent risk measures (details)
Francesco Gaffi, Nathaniel Josephs and Lizhen Lin. Exchangeable random permutations with an application to Bayesian graph matching (details)
Lucio Galeati, Theodore D. Drivas and Umberto Pappalettera. Anomalous phenomena in the Kraichnan model of turbulence (details)
Lucio Galeati, Eliseo Luongo and Umberto Pappalettera. Anomalous Regularization and Dissipation for 2D Euler Equations with Rough Kraichnan Noise (details)
Lucio Galeati, Filippo Giovagnini and Massimo Sorella. Non-selection of Lagrangian trajectories in the zero-noise limit (details)
Anna Maria Gambaro, Giovanni Amici and Gianluca Fusai. Functional PCA for Risk-Neutral densities in Bayes space (details)
Pavel Gapeev. Optimal autonomous trading strategies in models based on Ornstein-Uhlenbeck processes with mean-reverting levels (details)
Louis Gass, Giovanni Peccati and Michele Stecconi. Random scars : overview and recent advances (details)
Marta Gentiloni Silveri. Exponential Convergence Guarantees for Iterative Markovian Fitting (details)
Massimiliano Giacalone, Stefano Cervellera and Carlo Cusatelli. Nonparametric Inference for Multivariate and Complex Data Structures (details)
George Giakkoupis, Dimitrios Los, Thomas Sauerwald and Isabella Ziccardi. The Minority Dynamics (details)
Alice Giampino, Sonia Migliorati, Joachim Vandekerckhove and Michele Guindani. Cognitive data analysis with Bayesian Drift Diffusion Model (details)
Matteo Giordano and Patric Dolmeta. Bayesian nonparametric inference for covariate-driven point processes (details)
Nicola Giordano, Barbara Martinucci and Paola Paraggio. On the Markov modulated Poisson process and its application in shock models (details)
Giovanni Girardi. Well-posedness results and asymptotic estimates for fractional partial differential equations (details)
Federico Girotti and Alessandro Vitale. Purification of quantum trajectories in infinite dimensions (details)
Ernesto Maria Greco and Daniela Morale. Stochastic McKean-Vlasov dynamics with singular Lennard-Jones drift: a mesoscale regularization (details)
Abel Guada Azze, Bernardo D'Auria and Giorgio Ferrari. Robust Ergodic Singular Control of Compound–Poisson Jump Diffusions under Drift and Intensity Ambiguity (details)
Paul Hager, Fabian Harang, Luca Pelizzari and Samy Tindel. The Volterra signature (details)
Samuel Herrmann and Madalina Deaconu. Approximation of Diffusion Exit Times from Bounded Domains via a Rejection-Based Random Walk (details)
Ronan Herry. Modified logarithmic Sobolev inequalities for point processes (details)
Francesco Iafrate. Learning Interaction Networks for High-Dimensional Diffusion Processes (details)
Maria Infusino, Salma Kuhlmann, Tobias Kuna and Patrick Michalski. The moment problem beyond finite dimensions (details)
Vanessa Jacquier. Minimal shapes on the hyperbolic lattices and the emergence of metastability (details)
Josef Janák. Exponential integrability of the solution and the invariant measure to the stochastic Burgers equation (details)
Samuel Johnston. The bead model and the macroscopic behaviour of Gelfand-Tsetlin patterns (details)
Nathaniel Josephs. Nested stochastic block model for simultaneously clustering networks and nodes (details)
George Kanchaveli, Marta Catalano and Hugo Lavenant. Two-sample test for laws of random probabilities via optimal transport (details)
Peter Kern, Svenja Lage and Mark Meerschaert. Generalized Fractional Derivative Operators and Fractional Diffusion Equations Connected to Semistable Lévy Processes (details)
Omar Khattab, Peter Tankov and Tiziano De Angelis. When investors force the green transition: a two-dimensional singular stochastic control problem (details)
Yuta Koike. Sampling error bounds for the denoising diffusion probabilistic model via the Föllmer process (details)
Sotirios Kotitsas. Anomalous regularization for the non-smooth Kraichnan and Kazantsev-Kraichnan models on the torus (details)
Gitte Kremling, Francesco Iafrate, Mahsa Taheri and Johannes Lederer. Theoretical guarantees for diffusion models — beyond log-concavity (details)
Roger Laeven, Matteo Ferrari, Emanuela Rosazza Gianin and Marco Zullino. Measuring Financial Resilience Using Backward Stochastic Differential Equations (details)
Theresa Lange, Franco Flandoli and Camilla Nobili. Transport noise in natural convection (details)
Lucie Laurence and Andrea Agazzi. Noise induced stabilization in stochastic chemical reaction network (details)
Sirio Legramanti and Marta Catalano. Approximate Bayesian computation with kernel Wasserstein distance (details)
Alexandre Legrand. Pinning polymer model in correlated random environment (details)
Fabrizio Leisen, Samuele Garelli, Pietro Rigo and Luca Pratelli. Asymptotic and empirical properties of some classes of predictive distribution (details)
Marta Leocata. Intermediate Interactions in Particle Systems: Applications to Fluid Dynamics and Biological Modeling (details)
Marta Leocata. Environmental asset, Optimal control, N-players game, Social Planner, Pigouvian tax, Mean field game (details)
Rhoss Likibi Pellat and Francois Delarue. Entropic Regularization of Rearranged Stochastic Heat Equation (details)
Ziyang Liu. Moment structure of the critical stochastic heat flow and independence of collision times of random walks (details)
Giacomo Lucertini, Stéphane Menozzi and Stefano Pagliarani. Strong regularisation-by-noise for degenerate SDEs of kinetic type: results and open problems (details)
Li Ma and Benedetta Bruni. A partial likelihood approach to tree-based density modeling and its application in Bayesian inference (details)
Chiara Gaia Magnani, Matteo Sesia and Aldo Solari. Distribution-Free Outlier Detection and Enumeration (details)
Leonardo Maini. Non-universal fluctuations for functionals of random neural networks (details)
Tamas Makai, Matija Pasch, Kalina Petrova and Leon Schiller. Sharp thresholds for higher powers of Hamilton cycles in random graphs (details)
Tamas Makai, Federico Polito and Laura Sacerdote. Do random initial degrees suppress concentration in preferential attachment graphs? (details)
Daniele Mancinelli, Katia Colaneri and Edoardo Lombardo. Optimal reinsurance with unobservable claim arrival intensity: a Stackelberg differential game (details)
Uriel Martinez Leon and Jonathan Niles-Weed. Wasserstein Least Squares: statistics, geometry, and algorithms (details)
Mattia Martini and Mao Fabrice Djete. On the notion of Wasserstein BSDE and its application to Mean Field Control (details)
Luca Martino. Likelihood-based priors: a kernel mixture approach (details)
Barbara Martinucci, Giulia Di Nunno, Olena Tymoshenko and Nicola Giordano. Modeling Monkeypox transmission through stochastic dynamics with self-excitation (details)
Francesco Mascari, Hugo Lavenant and Marta Catalano. Hilbert-Based Correlation Indices for Distributional Data (details)
Elena Matteini, Luisa Andreis, Luca Avena and Rajat Subhra Hazra. Finite vs Infinite-Mean Heavy-Tailed Fitness: Geometry and Connectivity in Inhomogeneous Random Graphs (details)
Sara Mazzonetto. Singular SDEs through interfaces: the threshold Cox-Ingersoll-Ross model (details)
Anderson Melchor Hernandez, Filippo Girardi, Davide Pastorello and Giacomo De Palma. Quantitative Convergence of Trained Quantum Neural Networks to a Gaussian Process (details)
Emanuele Mengoli and Nahuel Soprano-Loto. Association in Spatial Queueing-Filtering Networks (details)
Alessandra Meoli and Antonio Di Crescenzo. Nonlocal α-size biasing: Stein characterization and one-sided concentration bound (details)
Thilo Meyer-Brandis, Francesca Biagini, Alessandro Doldi, Jean Pierre Fouque and Marco Frittelli. Collective Arbitrage and Superreplication (details)
Thomas Michelitsch. Target hitting counting process in networks and applications to evanescent random walks (details)
Thomas Mikosch. Self-normalization of sums of dependent random variables (details)
Marco Mondelli. Learning from Surrogate Data: Weak-to-Strong Generalization through the Lens of High-Dimensional Regression (details)
Elena Montanaro, Daniela Bertacchi and Fabio Zucca. Branching Random Walks with ageing (details)
Eloy Mosig, Dario Trevisan and Andrea Agazzi. Quantitative Master Theorems for Tensor Programs via the Wasserstein distance (details)
Verdiana Mustaro, Antonio Di Crescenzo and Serena Spina. On some drift-based transformations of multidimensional diffusion processes and their applications (details)
Sabina Musto, Paola Paraggio, Antonio Di Crescenzo and Francisco De Asìs Torres Ruiz. Capturing Growth and Shock Dynamics through Lognormal Diffusions with Binomial Catastrophes (details)
Peter Mörters. The critical percolation window in growing random graphs (details)
Shogo Nakakita, Pierre Alquier and Masaaki Imaizumi. Dimension-free statistical guarantees for guidance scale adaptation of conditional diffusion models via PAC-Bayes bounds (details)
Dennis Nieman and Botond Szabó. Institut für Mathematik, Humboldt University Berlin (details)
Pier Luigi Novi Inverardi and Aldo Tagliani. An Analogue Fr\'echet-Shohat Moments Convergence Theorem for Indeterminate Moment Problems (details)
Pierre Nyquist, Henrik Hult, Adam Lindhe and Guo-Jhen Wu. Large deviations for stochastic approximation: A weak convergence approach (details)
Antonio Ocello. On Forgetting and Stability of Score-based Generative models (details)
Gianni Pagnini and Fausto Colantoni. Master Equations for Continuous-Time Random Walks with Stochastic Resetting (details)
Anna Pajola and Giorgio Ferrari. Existence of Strong Randomized Equilibria in Mean-Field Games of Optimal Stopping with Common Noise (details)
Katerina Papagiannouli. Beyond NNGP: Large Deviations and Feature Learning in Bayesian Neural Networks (details)
Ivan Papić, Luisa Beghin, Nikolai N. Leonenko and Jayme Vaz. Non-local operators for Pearson diffusions (details)
Emanuele Pasqui, Alberto Chiarini and Alessandra Cipriani. Hard wall repulsion for the discrete Gaussian free field in random environment in supercritical dimension (details)
Giacomo Passuello and Rajat Hazra. Spectral properties of directed inhomogeneous graphs (details)
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