MAXENT2024: 43RD INTERNATIONAL WORKSHOP ON BAYESIAN INFERENCE AND MAXIMUM ENTROPY METHODS IN SCIENCE AND ENGINEERING

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Abel, Markus	Bayesian Regularization for Dynamical System Identification
Aelterman, Jan	Sensor Fusion Approaches in Automotive Perception
Aguilera, Miguel	Higher-Order Interactions Effects from the Maximum Entropy Principle of Curved Statistical Manifolds
Ariola, Marco	Bayesian Integrated Data Analysis and Experimental Design for External Magnetic Plasma Diagnostics: Plasma Current, Centroid Position, and Shape in DEMO
B
Behringer, Stefan	The Value of Information in Economic Contexts
Belavkin, Roman V.	The Value of Information in Economic Contexts
Bontekoe, Romke	Bayesian Basics
Braams, Bastiaan J	E-Values Analysis in Computational Science
Bréhelin, Jacques	Impact of Data Degradation on Information Theory Indices: the Case of the Lim Approach to Food Web Analysis
C
Charman, Andrew	Agreeing to Disagree Within Objective Quantum Bayesianism: Compatibility of Different Observers’ Quantum States
Chu, Ning	An Efficient Temperature Calibration Method Based on the Improved Infrared Forward Model and Bayesian Inference
Cifone, Michael C.	Rational Responses to Extraordinary Hypotheses
Cordier, Laurent	Bayesian Regularization for Dynamical System Identification
Corrêa, Fernando	Nonparametric Full Bayesian Significance Testing for Bayesian Histograms
D
Davis, Sergio	A Superstatistical Measure of Distance from Canonical Equilibrium Thermodynamics of Finite Systems via Molecular Dynamics in Generalized Ensembles
Davis, Sergio	Deep Learning Prediction of Waiting Times in Non-Equilibrium Melting
De Cooman, Gert	Conservative Probabilistic Inference in Quantum Mechanics
De Rycke, Jeffrey	Bayesian Integrated Data Analysis and Experimental Design for External Magnetic Plasma Diagnostics: Plasma Current, Centroid Position, and Shape in DEMO
Depondt, Philippe	Nested Sampling for Exploring Lennard - Jones Clusters
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Fallah Mortezanejad, Seyedeh Azadeh	Bayesian Deep Learning for Infrared Image Segmentation
Femenías, Carlos	Deep Learning Prediction of Waiting Times in Non-Equilibrium Melting Thermodynamics of Finite Systems via Molecular Dynamics in Generalized Ensembles
Finocchi, Fabio	Nested Sampling for Exploring Lennard - Jones Clusters
Fuchs, Richard	Automatic Modelling and Object Identification in Radio Astronomy
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Grente, Théo	Impact of Data Degradation on Information Theory Indices: the Case of the Lim Approach to Food Web Analysis
Grünwald, Peter	E Is the New P
H
Handley, Will	The Scaling Frontier of Nested Sampling
Heinrich, Lukas	Automatic Modelling and Object Identification in Radio Astronomy
Heinzel, Carola Sophia	Combining Knowledge about Metabolic Networks and Single-cell Data with Maximum Entropy
Hoerbst, Franziska	Analytical Bayesian Framework for Differential Gene Expression Analysis Using RNA-Seq Data
Hong Kong University, Manman	Towards the Prediction and Control of Driven Dense Active Matter: Cross-Diffusion and Maxent Open New Avenues
Huppert, Simon	Nested Sampling for Exploring Lennard - Jones Clusters
J
Jadebeck, Johann Fredrik	Combining Knowledge about Metabolic Networks and Single-cell Data with Maximum Entropy Constrained Trans-Dimensional Diffusive Nested Sampling for Metabolic Network Inference
Jaensson, Nick	Advanced Sampling Methods for Bayesian Inference of Constitutive Behavior
Jardin, Axel	Bayesian Soft X-Ray Tomography and Integrated Estimation of Tungsten Impurity Concentration Profiles at the WEST Tokamak
K
Kalaidzidis, Yannis	Probabilistic Analysis of RNA Delivery: Insights from Lipid Nanoparticle-Mediated Transport and Release in Cellular Systems
Knollmüller, Jakob	Automatic Modelling and Object Identification in Radio Astronomy
Knuth, Kevin	Understanding Exoplanet Habitability: an AI Framework for Predicting Atmospheric Absorption Spectra Rational Responses to Extraordinary Hypotheses From Cox's Foundation of Probability Theory to Physics
Kramer, Matthias	Inverse Bayesian Methods for Groundwater Vulnerability Assessment
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Lassance, Rodrigo F. L.	Nonparametric FBST for Validating Linear Models
Lima de Souza E Silva, Rodrigo	Advanced Sampling Methods for Bayesian Inference of Constitutive Behavior
Loredo, Tom	Understanding populations of light curves and spectra: Bayesian functional data analysis in astronomy
Loyola, Claudia	Deep Learning Prediction of Waiting Times in Non-Equilibrium Melting Thermodynamics of Finite Systems via Molecular Dynamics in Generalized Ensembles
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Maillard, Lune	Nested Sampling for Exploring Lennard - Jones Clusters
Makaremi, Masrour	Interpretable Deep Neural Networks and Bayesian Inference as Real Tools for Orthodontics
Marechal, Pierre	A note on maximum entropy multivariate density estimation
Maxton, Marleen	Weighted Average of Scattered Data: a Bayesian Approach
Mazon, Didier	Bayesian Soft X-Ray Tomography and Integrated Estimation of Tungsten Impurity Concentration Profiles at the WEST Tokamak
McEwen, Jason	Learned Harmonic Mean with Normalizing Flows for Bayesian Model Comparison in Cosmology
Mohammad-Djafari, Ali	Bayesian Deep Learning for Infrared Image Segmentation An Efficient Temperature Calibration Method Based on the Improved Infrared Forward Model and Bayesian Inference Bayesian Inference and Physics-Informed Deep Neural Networks Methods for Inverse Problems Interpretable Deep Neural Networks and Bayesian Inference as Real Tools for Orthodontics Bayesian Regularization for Dynamical System Identification
Morales, Pablo	Higher-Order Interactions Effects from the Maximum Entropy Principle of Curved Statistical Manifolds
Morris, Richard	Analytical Bayesian Framework for Differential Gene Expression Analysis Using RNA-Seq Data
N
Nghiem, Thi-Lich	A note on maximum entropy multivariate density estimation
Niquil, Nathalie	Impact of Data Degradation on Information Theory Indices: the Case of the Lim Approach to Food Web Analysis
Niven, Robert	Bayesian Regularization for Dynamical System Identification
Niven, Robert	Inverse Bayesian Methods for Groundwater Vulnerability Assessment
Nöh, Katharina	Combining Knowledge about Metabolic Networks and Single-cell Data with Maximum Entropy Constrained Trans-Dimensional Diffusive Nested Sampling for Metabolic Network Inference
P
Paull, David	Inverse Bayesian Methods for Groundwater Vulnerability Assessment
Pautot, Fabrice	On Singular Bayesian Inference of Underdetermined Quantities
Peralta, Joaquin	Deep Learning Prediction of Waiting Times in Non-Equilibrium Melting
Peralta, Joaquín	Thermodynamics of Finite Systems via Molecular Dynamics in Generalized Ensembles
Piras, Davide	Learned Harmonic Mean with Normalizing Flows for Bayesian Model Comparison in Cosmology
Pironti, Alfredo	Bayesian Integrated Data Analysis and Experimental Design for External Magnetic Plasma Diagnostics: Plasma Current, Centroid Position, and Shape in DEMO
Plé, Thomas	Nested Sampling for Exploring Lennard - Jones Clusters
Polanska, Alicja	Learned Harmonic Mean with Normalizing Flows for Bayesian Model Comparison in Cosmology
Preuss, Roland	REVISITING OUTLIER-ROBUST SURROGATE MODELING
Price, Matthew	Learned Harmonic Mean with Normalizing Flows for Bayesian Model Comparison in Cosmology
Q
Quade, Markus	Bayesian Regularization for Dynamical System Identification
Quaeghebeur, Erik	Advanced Sampling Methods for Bayesian Inference of Constitutive Behavior
Quercia, Antonio	Bayesian Integrated Data Analysis and Experimental Design for External Magnetic Plasma Diagnostics: Plasma Current, Centroid Position, and Shape in DEMO
R
Regenauer-Lieb, Klaus	Towards the Prediction and Control of Driven Dense Active Matter: Cross-Diffusion and Maxent Open New Avenues
Rinkens, Aricia	Advanced Sampling Methods for Bayesian Inference of Constitutive Behavior
S
Salomon, Julien	Nested Sampling for Exploring Lennard - Jones Clusters
Seiffarth, Johannes	Combining Knowledge about Metabolic Networks and Single-cell Data with Maximum Entropy
Shimazaki, Hideaki	Higher-Order Interactions Effects from the Maximum Entropy Principle of Curved Statistical Manifolds
Sidhu, Gurpinder Singh	Analytical Bayesian Framework for Differential Gene Expression Analysis Using RNA-Seq Data
Skilling, John	The Arithmetic of Maths and Physics Computational Inference
Sonnino, Giorgio	Exploring Quantized Entropy Production Strength in Mesoscopic Irreversible Thermodynamics
Spurio Mancini, Alessio	Learned Harmonic Mean with Normalizing Flows for Bayesian Model Comparison in Cosmology
Stern, Julio	Nonparametric Full Bayesian Significance Testing for Bayesian Histograms
Stern, Julio M.	Nonparametric FBST for Validating Linear Models
Stern, Julio M.	The E-Value and the Full Bayesian Significance Test: Logical Properties and Philosophical Consequences
Stern, Rafael B.	Nonparametric FBST for Validating Linear Models Nonparametric Full Bayesian Significance Testing for Bayesian Histograms
T
Taghavi, Nasrin	Inverse Bayesian Methods for Groundwater Vulnerability Assessment
Tallgren, Kennet	The Maximum Entropy Method in Turbulence Research
Tomkins, Melissa	Analytical Bayesian Framework for Differential Gene Expression Analysis Using RNA-Seq Data
Trassinelli, Martino	Nested Sampling for Exploring Lennard - Jones Clusters Weighted Average of Scattered Data: a Bayesian Approach
Trehan, Vasuda	Understanding Exoplanet Habitability: an AI Framework for Predicting Atmospheric Absorption Spectra
V
Valérie, Girardin	Impact of Data Degradation on Information Theory Indices: the Case of the Lim Approach to Food Web Analysis
Verdoolaege, Geert	Bayesian Soft X-Ray Tomography and Integrated Estimation of Tungsten Impurity Concentration Profiles at the WEST Tokamak Bayesian Integrated Data Analysis and Experimental Design for External Magnetic Plasma Diagnostics: Plasma Current, Centroid Position, and Shape in DEMO
Verhoosel, Clemens	Advanced Sampling Methods for Bayesian Inference of Constitutive Behavior
von Toussaint, Udo	REVISITING OUTLIER-ROBUST SURROGATE MODELING
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Wang, Li	An Efficient Temperature Calibration Method Based on the Improved Infrared Forward Model and Bayesian Inference
Wang, Tianbo	Bayesian Soft X-Ray Tomography and Integrated Estimation of Tungsten Impurity Concentration Profiles at the WEST Tokamak
Watters, Wes A.	Rational Responses to Extraordinary Hypotheses
Way, Michael	Understanding Exoplanet Habitability: an AI Framework for Predicting Atmospheric Absorption Spectra
Wiechert, Wolfgang	Constrained Trans-Dimensional Diffusive Nested Sampling for Metabolic Network Inference
Wu, Hao	Bayesian Soft X-Ray Tomography and Integrated Estimation of Tungsten Impurity Concentration Profiles at the WEST Tokamak
Y
Yan, Xu	An Efficient Temperature Calibration Method Based on the Improved Infrared Forward Model and Bayesian Inference
Yu, Liang	An Efficient Temperature Calibration Method Based on the Improved Infrared Forward Model and Bayesian Inference
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Zelle, Elisabeth	Combining Knowledge about Metabolic Networks and Single-cell Data with Maximum Entropy
Zerial, Marino	Probabilistic Analysis of RNA Delivery: Insights from Lipid Nanoparticle-Mediated Transport and Release in Cellular Systems
Zevenhoven, Ron	The Maximum Entropy Method in Turbulence Research
Zhong, Yao	An Efficient Temperature Calibration Method Based on the Improved Infrared Forward Model and Bayesian Inference

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