Program

	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 01	Ariel Caticha (University at Albany, USA)
Tutorial 02	John Skilling (University of Cambridge, UK)
Tutorial 03	Kevin H. Knuth (University at Albany, USA)
Tutorial 04	Frank Nielsen (Sony CSL, Japan)
Tutorial 05	Fréderic Barbaresco (THALES, France)
Tutorial 06	Ali Mohamed Djafari (Former Research Director of CNRS, France)

History of probability	Laurent Mazliak (Sorbonne Université, LPSM)

Sessions

Tuesday July 19
SESSION 1	Topic 3	INFORMATION THEORY, INFORMATION GEOMETRY, AND MACHINE LEARNING
Invited speaker 01	87	Emtiyaz Khan	The Bayesian Learning Rule
Speaker	71	Fábio C. C. Meneghetti, Henrique K. Miyamoto and Sueli I. R. Costa	Information Properties of a Random Variable Decomposition through Lattices
Speaker	80	Andrija Kostić, Philipp Frank, Matteo Guardiani, Sebastian Hutschenreuter, Maximilian Kurthen, Reimar Leike and Torsten Enßlin	Bayesian Causal Inference with Information Field Theory
Speaker	75	Keiko Uohashi	A foliation of probability simplexes for transition of \alpha-parameters

SESSION 2	Topic 4	INFERENCE AND INFORMATION IN HUMAN ACTIVITIES
Invited speaker 02	23	Torsten Ensslin	Reputation communication from an information perspective
Speaker	86	Christina Pawlowitsch	Strategic Manipulation in Bayesian Dialogues
Speaker	32	Andrew Charman	The Census and the Second Law: An Entropic Approach to Optimal Apportionment of Legislative Representatives

SESSION 3	Topic 4	IMAGINGING APPLICATIONS
Invited speaker 03	52	Lorenzo Valzania	Computational tools to control light through complex media
Speaker	31	Berlin Chen and Cyrus Mostajeran	Geometric learning of hidden Markov models via a method of moments algorithm
Speaker	79	Yannis Kalaidzidis	Revisiting multiple signal classification algorithm for super-resolution fluorescence microscopy in presence of non-uniform background
Speaker	74	Geoffroy Delamare and Ulisse Ferrari	Time-Dependent Maximum Entropy Model for Populations of Retinal Ganglion Cells

SESSION 4	Topic 4	BAYESIAN SIMULATION AND MODEL SELECTION
Speaker	38	Florent Leclercq	Simulation-based inference of Bayesian hierarchical models while checking for model misspecification
Speaker	70	Orestis Loukas and Ho Ryun Chung	Model selection in the world of Maximum Entropy
Speaker	81	Gordon Morison and Adam Brown	Optimized Nonextensive Entropy based methods for Biological Signal Analysis
Speaker	17	Riko Kelter	The Full Bayesian Evidence Test: Theory and Applications in Bayesian response-adaptive clinical Trial Designs
Speaker	19	Philipp Joppich, Sebastian Dorn, Oliver De-Candido, Wolfgang Utschick and Jakob Knollmüller	Classification and Uncertainty Quantification of Corrupted Data using Semi-Supervised Autoencoders

SESSION 5	Topic 4	QUANTUM SYSTEMS
Speaker	27	Philippe Jacquet	Is Quantum Tomography a difficult problem for Machine Learning?
Speaker	82	Mariela Portesi, Yanet Alvarez, Marcelo Losada and Gustavo Martin Bosyk	Coherence-impurity complementarity for quantum systems using entropies and majorization
Speaker	34	François Verdeil, Yannick Deville and Alain Deville	A unitary quantum process tomography algorithm robust to systematic errors



Wednesday July 20
SESSION 6	Topic 4	NESTED SAMPLING & APPLICATIONS
Invited speaker 04	69	Will Handley	Frontiers in Nested Sampling
Speaker	46	Johannes Buchner	Comparison of step samplers for nested sampling
Speaker	84	Nancy Paul	Precision Highly Charged Ion Spectroscopy and Atomic Form Factor Studies with Bayesian Analysis
Speaker	65	Aleksandr Petrosyan	SuperNest: accelerated nested sampling applied to astrophysics and cosmology

SESSION 7	Topic 4	APPLICATIONS IN SOLID STATE PHYSICS
Invited speaker 05	2	Livia Partay	Nested sampling for materials
Speaker	50	Lune Maillard	Nested sampling for the exploration of potential energy surfaces
Speaker	36	Alessandra Del Masto	Handling uncertainties in the development of tight-binding potentials : application to Zr and Zr-H systems



Thursday July 21
SESSION 8	Topic 2	MACHINE LEARNING
Invited speaker 06	8	Bobak Toussi Kiani	Quantum algorithms for group convolution, cross-correlation, and equivariant transformations
Speaker	20	Eliot Tron	Equivariant Neural Networks and Differential Invariants Theory for Solving Partial Differential Equations
Speaker	21	Pierre-Yves Lagrave	Adaptive Importance Sampling for Equivariant Group-Convolution Computation
Speaker

SESSION 9	Topic 1	FOUNDATIONS
Invited speaker 07	8	Olivier Rioul	What is Randomness? The Interplay between Alpha Entropies, Total Variation and Guessing
Speaker	76	Robert Niven	Fluid Densities Defined from Probability Density Functions, and New Families of Conservation Laws
Speaker	14	Margret Westerkamp, Igor Ovchinnikov, Philipp Frank and Torsten Enßlin	Analysis of dynamical field inference in a supersymmetric theory
Speaker	83	Roman Belavkin, Panos Pardalos and Jose Principe	Local Max-Entropy and Free Energy Principles solved by Belief Propagation

SESSION 10	Topic 1	QUIVERS GEOMETRY AND NEURAL NETWORKS
Invited speaker 08	28	Antoine Boruget	The Geometry of Quivers
Speaker	55	Marco Armenta	A Notion of Entropy for the study of Neural Network Training Dynamics using Quiver Representations
Speaker	5	George Jeffreys	Quantum Finite Automata and Quiver Algebras

SESSION 11	Topic 5	INFORMATION GEOMETRY AND PHYSICS
Invited speaker 09	88	Pierre-Henri Wuillemin	Learning Continuous High-Dimensional Models using Mutual Information and Copula Bayesian Networks
Speaker	13	Jean-Claude Zambrini	Hamilton-Jacobi-Bellman equations in Stochastic Geometric Mechanics
Speaker	40	Noémie Combe	Poisson geometry of the statistical Frobenius manifold.
Speaker	43	Jean-Pierre Françoise	Dynamical systems over Lie groups associated to statistical transformation models
Speaker	44	Andrew Beckett	Homogeneous Symplectic Spaces and Central Extensions
Speaker	49	Sho Sonoda	Closed-form Expression of Parameter Distribution in Neural Network on Noncompact Symmetric Space
Speaker	57	Frederic Barbaresco	Souriau Maximum Entropy Statistical Distribution for Homogeneous Bounded Domains: Poincaré and Siegel Disks
Speaker	25	Michel Nguiffo Boyom	Relevant foliations and topological persistence in statistical manifolds
Speaker	29	Valerie Girardin	On the Asymptotic Classification of Generalized Entropies
Speaker	39	Stefan Behringer	The Value of Information in Circular Settings
Speaker	58	Carlos Alcalde	Information Geometry In Phase Space



Friday July 22
SESSION 12	Topic 3	INFERENCE AND ENTROPY
Invited speaker 10	1	Siddhartha Chib, Minchul Shin and Anna Simoni	Bayesian Exponentially Tilted Empirical Likelihood to Endogeneity Testing
	3	Frank Nielsen	Information measures and information geometry of the Zeta and Lattice Gaussian MaxEnt Distributions
Speaker	41	Fabio Di Nocera	Unfolding of relative entropies and monotone metrics
Speaker	42	Shlomo Dubnov and Gerard Assayag	Switching Machine Improvisation Models by Latent Transfer Entropy Criteria

SESSION 13	Topic 3	BAYESIAN METHODS FOR IMAGING
Invited speaker 11	11	Fabrizia Guglielmetti	Bayesian and Machine Learning Methods in the Big Data era for astronomical imaging.
Speaker	24	Phillip Frank	Geometric Variational Inference and its application to Bayesian imaging
Speaker	62	Harry Bevins	Marginal Bayesian Statistics Using Masked Autoregressive Flows and Kernel Density Estimators with Examples in Cosmology

SESSION 14	Topic 2	GRAPHICAL AND GEOMETRICAL LEARNING
Invited speaker 12	73	Piotr Graczyk, Hideyuki Ishi and Bartosz Kolodziejek	Graphical Gaussian models associated to a homogeneous graph with permutation symmetries
Speaker	37	Michel Broniatowski and Wolfgang Stummer	A precise bare simulation approach to generalized entropy maximization
Speaker	15	Sascha Ranftl	A connection between probability, physics and neural networks

SESSION 15	Topic 2	LEARNING, SURROGATE MODELS AND INFORMATION
Speaker	7	Filippo Masi and Ioannis Stefanou	Data- and thermodynamics-driven discovery of state variables and evolution equations
Speaker	9	Beatriz Moya, Quercus Hernandez, Alebrto Badias, Francisco Chinesta and Elias Cueto	Thermodynamics of learning physical phenomena
Speaker	63	Patricia Conde-Cespedes, Guillaume Lachaud and Maria Trocan	The Role of Entropy in Machine Learning and Applications
Speaker	48	Roland Preuss and Udo von Toussaint	SURROGATE MODELLING OF ION-SOLID INTERACTION SIMULATIONS
Speaker	60	Keith Earle	Magnetic Resonance and Information Loss
Speaker	85	Olivier Peltre	Local Max-Entropy and Free Energy Principles solved by Belief Propagation
Speaker	68	Adrian Josue Guel Cortez and Eun-jin Kim	Information geometry under the Laplace assumption
Speaker	22	Romke Bontekoe and Barrie J. Stokes	Kangaroos in Cambridge

Poster session

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

Time slots	Monday July 18	Tuesday July 19	Wednesday July 20	Thursday July 21	Friday July 22
	Registration	Registration
09.00-09.20	Tutorial 01: Ariel Caticha	Invited Speaker 01 Emtiyaz Khan (87)	Invited Speaker 04 Will Handley (69)	Invited Speaker 02 Olivier Rioul (35)	Invited Speaker 10 Anna Simoni (01)
09.20-09.40
09.40-10.00		71 - Fábio C.C. Meneghetti	46 - Johannes Buchner	76 - Robert Niven	37 - Michel Broniatowski
10.00-10.20	Tutorial 02: John Skilling (16)	80 - Andrija Kostić	84 - Nancy Paul	82 - Mariela Portesi	41 - Fabio Di Nocera
10.20-10.40		75 - Keiko Uohashi	65 - Aleksandr Petrosyan	83 - Roman Belavkin	42 - Shlomo Dubnov
10.40-11.00		Coffee Break	Coffee Break	Coffee Break	Coffee Break
11.00-11.20	Coffee Break	Invited Speaker 07 Torsten Ensslin (23)	Invited Speaker 05 Livia Partay (02)	Invited Speaker 08 Antoine Bourget (28)	Invited Speaker 06 Fabrizia Guglielmetti (11)
11.20-11.40	Tutorial 03: Kevin H. Knuth
11.40-12.00		86 - Christina Pawlowitsch	50 - Lune Maillard	55 - Marco Armenta	24 - Phillip Frank
12.00-12.20		32 - Andrew Charman	36 - Alessandra Del Masto	5 - George Jeffreys	62 - Harry Bevins
12.20-12.40	Lunch Break	Lunch Break	Lunch Break	Lunch Break	Lunch Break
12.40-13.00
13.00-13.20
13.20-13.40	Tutorial 04: Frank Nielsen (3)	Invited Speaker 03 Lorenzo Valzania (52)	Invited Speaker 11 Bobak Toussi Kiani (08)	Invited Speaker 09 Pierre-Henri Wuillemin (88)	Invited Speaker 12 Piotr Graczyk (73)
13.40-14.00
14.00-14.20		79 - Yannis Kalaidzidis	20 - Eliot Tron	13- Jean-Claude Zambrini	15 - Sascha Ranftl
14.20-14.40	Tutorial 05: Frederic Barbaresco (4)	74 - Geoffroy Delamare	21 - Pierre-Yves Lagrave	40- Noémie Combe	31 - Berlin Chen
14.40-15.00		Coffee Break	Transfer to SCAI	Coffee Break	Coffee Break
15.00-15.20		38 - Floren Leclercq	Posters Session SCAI SORBONNE: 12, 18, 26, (30), 33, 45, 47, 53, 54, 56, 59, 61, 64, 66, 67, 72, 77, 78, 89, 90	43 - Jean-Pierre Françoise	7 - Filippo Masi
15.20-15.40	Coffee Break	70 - Orestis Loukas		44 - Andrew Beckett	9 - Beatriz Moya
15.40-16.00	Tutorial 06: Ali M. Djafari (51)	81 - Gordon Morison		49 - Sho Sonoda	63- P. Conde-Cespedes
16.00-16.20		17- Riko Ketler		57 - Frederic Barbaresco	48 -Roland Preuss
16.20-16.40		Coffee Break		Coffee Break	Coffee Break
16.40-17.00	Coffee Break	19 – Philipp Joppich		25 - Michel Nguiffo Boyom	60 - Keith Earle
17.00-17.20	History of probability Laurent Mazliak	27 - Philippe Jacquet	SCAI Presentation & Drinks	29 - Valerie Girardin	85 - Olivier Peltre
17.20-17.40		14 - Margret Westerkamp		39 - Stefan Behringer	68 - Adrian J. Guel Cortez
17.40-18.00		34 - François Verdeil		58 - Carlos Alcalde	22 - Romke Bontekoe
18.00-18.20	Wellcome Cocktail SCAI	Cocktail Mairie Vème Panthéon	Gala Diner LE PROCOPE		Closing
18.20-18.40				VISITS	Business Meeting
18.40-19.00