Topic 1: Foundations of probability, inference, information, entropy
Topic 2: Bayesian Geometric-Informed, Physics-Informed & Thermodynamics-Informed Machine Learning
Topic 3: Information theory, machine learning tools for inverse problems
Topic 4: Bayesian and Maximum Entropy in real world applications
Topic 5: Geometric Statistical Mechanics/Physics, Lie Groups Thermodynamics & Maximum Entropy Densities
Topic 6: Quantum: Theory, Computation, Tomography and Applications

Tutorials

Tutorial 01Ali Mohammad-Djafari  (Former Research Director of CNRS, France)Bayesian and Machine Learning Methods for Inverse ProblemCHAIR: JOHN SKILLING
Tutorial 02Kevin H. Knuth (University at Albany, USA)Why Mathematics Works and Why Physics is MathematicalCHAIR: FREDERIC BARBARESCO
Tutorial 03John Skilling (University of Cambridge, UK)FoundationsCHAIR: FREDERIC BARBARESCO
Tutorial 04Frank Nielsen (Sony CSL, Japan)Introduction to Information GeometryCHAIR: MARTINO TRASSINELLI
Tutorial 05Fréderic Barbaresco (THALES, France)Symplectic Theory of Heat and Information based on Souriau Lie Groups Thermodynamics, Coquinot Thermodynamic Dissipative Bracket and Sabourin Transverse Poisson Structures: Applications to Lindblad Equation CHAIR: VALERIE GIRARDIN
Tutorial 06Ariel Caticha (University at Albany, USA)Entropic Dynamics and Quantum MeasurementCHAIRS: LIVIA BARTOK-PARTAY AND ALI DJAFARI
History of
probability
Laurent Mazliak (Sorbonne Université, LPSM)Borel and the emergence of probability on the mathematical scene in France

Sessions

Tuesday July 19
SESSION 1Topic 3INFORMATION THEORY, INFORMATION GEOMETRY, AND MACHINE LEARNINGCHAIRS: JOHN SKILLING & ALI DJAFARI
Invited speaker 0187Emtiyaz KhanThe Bayesian Learning Rule
Speaker71Fábio C. C. Meneghetti, Henrique K. Miyamoto and Sueli I. R. CostaInformation Properties of a Random Variable Decomposition through Lattices
Speaker80Andrija Kostić, Philipp Frank, Matteo Guardiani, Sebastian Hutschenreuter, Maximilian Kurthen, Reimar Leike and Torsten EnßlinBayesian Causal Inference with Information Field Theory
Speaker75Keiko UohashiA foliation of probability simplexes for transition of \alpha-parameters
SESSION 2Topic 4INFERENCE AND INFORMATION IN HUMAN ACTIVITIESCHAIRS: KEVIN KNUTH & ALI DJAFARI
Invited speaker 0223Torsten EnsslinReputation communication from an information perspective
Speaker86Christina PawlowitschStrategic Manipulation in Bayesian Dialogues
Speaker32Andrew CharmanThe Census and the Second Law: An Entropic Approach to Optimal Apportionment of Legislative Representatives
SESSION 3Topic 4IMAGING APPLICATIONSCHAIRS: SACHA RANFTL & ALI DJAFARI
Invited speaker 0352Lorenzo ValzaniaComputational tools to control light through complex media
Speaker31Berlin Chen and Cyrus MostajeranGeometric learning of hidden Markov models via a method of moments algorithm
Speaker79Yannis KalaidzidisRevisiting multiple signal classification algorithm for super-resolution fluorescence microscopy in presence of non-uniform background
Speaker74Geoffroy Delamare and Ulisse FerrariTime-Dependent Maximum Entropy Model for Populations of Retinal Ganglion Cells
SESSION 4Topic 4BAYESIAN SIMULATION AND MODEL SELECTIONCHAIRS: JEAN-MICHEL GILLET & PIERRE-HENRI WUILLEMIN
Speaker38Florent LeclercqSimulation-based inference of Bayesian hierarchical models while checking for model misspecification
Speaker70Orestis Loukas and Ho Ryun ChungModel selection in the world of Maximum Entropy
Speaker67Łukasz Tychoniec, Fabrizia Guglielmetti, Philipp Arras, Torsten Ensslin and Eric Villard Bayesian statistics approach to imaging of aperture synthesis data: RESOLVE meets ALMA
Speaker17Riko KelterThe Full Bayesian Evidence Test: Theory and Applications in Bayesian response-adaptive clinical Trial Designs
Speaker19Philipp Joppich, Sebastian Dorn, Oliver De-Candido, Wolfgang Utschick and Jakob KnollmüllerClassification and Uncertainty Quantification of Corrupted Data using Semi-Supervised Autoencoders
SESSION 5Topic 4QUANTUM SYSTEMSCHAIRS: UDO VON TOUSSAINT & MARIA TROCAN
Speaker27Philippe JacquetIs Quantum Tomography a difficult problem for Machine Learning?
Speaker72Mariela Portesi, Yanet Alvarez, Marcelo Losada and Gustavo Martin BosykReciprocity relations for quantum systems based on Fisher information
Speaker34François Verdeil, Yannick Deville and Alain DevilleA unitary quantum process tomography algorithm robust to systematic errors
Wednesday July 20
SESSION 6Topic 4NESTED SAMPLING & APPLICATIONSCHAIRS: JOHN SKILLING & MARTINO TRASSINELLI
Invited speaker 0469Will HandleyFrontiers in Nested Sampling
Speaker46Johannes BuchnerComparison of step samplers for nested sampling
Speaker84Nancy PaulPrecision Highly Charged Ion Spectroscopy and Atomic Form Factor Studies with Bayesian Analysis
Speaker65Aleksandr PetrosyanSuperNest: accelerated nested sampling applied to astrophysics and cosmology
SESSION 7Topic 4APPLICATIONS IN SOLID STATE PHYSICSCHAIRS: WILL HANDLEY & JEAN-MICHEL GILLET & MARTINO TRASSINELLI
Invited speaker 052Livia PartayNested sampling for materials
Speaker50Lune MaillardNested sampling for the exploration of potential energy surfaces
Speaker36Alessandra Del MastoHandling uncertainties in the development of tight-binding potentials : application to Zr and Zr-H systems
SESSION 8Topic 2MACHINE LEARNINGCHAIRS: FABRIZIA GUGLILMETTI & FREDERIC BARBARESCO
Invited speaker 068Bobak Toussi KianiQuantum algorithms for group convolution, cross-correlation, and equivariant transformations
Speaker20Eliot TronEquivariant Neural Networks and Differential Invariants Theory for Solving Partial Differential Equations
Speaker21Pierre-Yves LagraveAdaptive Importance Sampling for Equivariant Group-Convolution Computation
Speaker49Sho SonodaClosed-form Expression of Parameter Distribution in Neural Network on Noncompact Symmetric Space
POSTER SESSION(see below)
Thursday July 21
SESSION 9Topic 1FOUNDATIONS CHAIRS: ROMKE BONTEKOE &
MARTINO TRASSINELLI
Invited speaker 0735Olivier RioulWhat is Randomness? The Interplay between Alpha Entropies, Total Variation and Guessing
Speaker76Robert NivenFluid Densities Defined from Probability Density Functions, and New Families of Conservation Laws
Speaker14Margret Westerkamp, Igor Ovchinnikov, Philipp Frank and Torsten EnßlinAnalysis of dynamical field inference in a supersymmetric theory
Speaker83Roman Belavkin, Panos Pardalos and Jose PrincipeValue of Information in the Binary Case and Confusion Matrix
SESSION 10Topic 1QUIVERS GEOMETRY AND NEURAL NETWORKSCHAIRS: PHILIPPE JACQUET & FREDERIC BARBARESCO
Invited speaker 0828Antoine BourgetThe Geometry of Quivers
Speaker55Marco ArmentaA Notion of Entropy for the study of Neural Network Training Dynamics using Quiver Representations
Speaker5George JeffreysQuantum Finite Automata and Quiver Algebras
SESSION 11Topic 5INFORMATION GEOMETRY AND PHYSICSCHAIRS: ARIEL CATICHA & ALI DJAFARI
Invited speaker 0988Pierre-Henri WuilleminLearning Continuous High-Dimensional Models using Mutual Information and Copula Bayesian Networks
Speaker13Jean-Claude ZambriniHamilton-Jacobi-Bellman equations in Stochastic Geometric Mechanics
Speaker40Noémie CombePoisson geometry of the statistical Frobenius manifold.
Speaker43Jean-Pierre Françoise, Daisuke TaramaDynamical systems over Lie groups associated to statistical transformation models
Speaker44Andrew BeckettHomogeneous Symplectic Spaces and Central Extensions
Speaker57Frederic BarbarescoSouriau Maximum Entropy Statistical Distribution for Homogeneous Bounded Domains: Poincaré and Siegel Disks
Speaker25Michel Nguiffo BoyomRelevant foliations and topological persistence in statistical manifolds
Speaker29Valerie GirardinOn the Asymptotic Classification of Generalized Entropies
Speaker39Stefan Behringer The Value of Information in Circular Settings
Speaker58Carlos AlcaldeInformation Geometry In Phase Space
Friday July 22
SESSION 12Topic 3INFERENCE AND ENTROPYCHAIRS: OLIVIER RIOUL & ALI DJAFARI
Invited speaker 101Siddhartha Chib, Minchul Shin and Anna SimoniBayesian Exponentially Tilted Empirical Likelihood to Endogeneity Testing
3Frank NielsenInformation measures and information geometry of the Zeta and Lattice Gaussian MaxEnt Distributions
Speaker41Fabio Di NoceraUnfolding of relative entropies and monotone metrics
Speaker42Shlomo Dubnov and Gerard AssayagSwitching Machine Improvisation Models by Latent Transfer Entropy Criteria
SESSION 13Topic 3BAYESIAN METHODS FOR IMAGINGCHAIRS: YANNIS KALAIDZIDIS & MARIA TROCAN
Invited speaker 1111Fabrizia GuglielmettiBayesian and Machine Learning Methods in the Big Data era for astronomical imaging.
Speaker24Phillip FrankGeometric Variational Inference and its application to Bayesian imaging
Speaker62Harry BevinsMarginal Bayesian Statistics Using Masked Autoregressive Flows and Kernel Density Estimators with Examples in Cosmology
SESSION 14Topic 2GRAPHICAL AND GEOMETRICAL LEARNINGCHAIRS: ENSSLIN TORSTEN & ALI DJAFARI
Invited speaker 1273Piotr Graczyk, Hideyuki Ishi and Bartosz KolodziejekGraphical Gaussian models associated to a
homogeneous graph with permutation symmetries
Speaker37Michel Broniatowski and Wolfgang StummerA precise bare simulation approach to generalized entropy maximization
Speaker15Sascha RanftlA connection between probability, physics and neural networks
SESSION 15Topic 2LEARNING, SURROGATE MODELS AND INFORMATIONCHAIRS: ROBERT NIVEN & ALI DJAFARI
Speaker7Filippo Masi and Ioannis StefanouData- and thermodynamics-driven discovery of state variables and evolution equations
Speaker9Beatriz Moya, Quercus Hernandez, Alebrto Badias, Francisco Chinesta and Elias CuetoThermodynamics of learning physical phenomena
Speaker63Patricia Conde-Cespedes, Guillaume Lachaud and Maria TrocanThe Role of Entropy in Machine Learning and Applications
Speaker48Roland Preuss and Udo von ToussaintSURROGATE MODELLING OF ION-SOLID INTERACTION SIMULATIONS
Speaker85Olivier PeltreLocal Max-Entropy and Free Energy Principles solved by Belief Propagation
Speaker68Adrian Josue Guel Cortez and Eun-jin KimInformation geometry under the Laplace assumption
Speaker22Romke Bontekoe and Barrie J. StokesKangaroos in Cambridge

Poster session

12Screening of the synthesis route on the structural, magnetic and magnetocaloric properties of La0.6Ca0.2Ba0.2MnO3 manganite: A comparison between solid-solid state process and a combination polyol process and Spark Plasma Sintering
18Modelling of aortic dissection with Beta random fields and uncertainty propagation with a Bayesian variational auto-encoder
26Infrared Temperature reconstruction based on Bayesian Varational Approximation
33A Computational Model to Determine Membrane Ionic Conductance Using Electroencephalography in Epilepsy
45Maxwell's demon and information theory in market efficiency: A Brillouin's perspective
47Digital computing through randomness and order in neural networks
53Strategies of choosing the regularization parameter in Bayesian approach to image reconstruction in nuclear medicine
54Attention guided multi-scale CNN Network for Cervical Vertebral Maturation Assessment from Lateral Cephalometric Radiography
56Maximum Entropy Regularization and TLBO in the Medical Imaging Problems
59Upscaling Reputation Communication Simulations
61Variational Bayesian Approximation (VBA): A comparison between three optimization algorithms
64SEIR modeling, simulation, parameter estimation, and its application for Covid-19 epidemic prediction
66The efficient representation of spatially variant point spread functions in Bayesian imaging algorithms
82Coherence-impurity complementarity for quantum systems using entropies and majorization
77Bayesian fusion of infrared image and visible image with a hierarchical Gaussian mixture model
78Curiosity driven exploration with perspective taking
89Multiobjective Optimization Of The Nanocavities Diffusion In Irradiated Metals
90Are Central Bankers Inflation Nutters? A Bayesian MCMC Estimator of the Long Memory Parameter in a State Space Model

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