MaxEnt 2022: International Conference on Bayesian and Maximum Entropy methods in Science and Engineering Paris, France Paris, France, July 18-22, 2022 |

Conference website | https://maxent22.see.asso.fr |

Submission link | https://easychair.org/conferences/?conf=maxent2022 |

Abstract registration deadline | April 5, 2022 |

Submission deadline | June 14, 2022 |

MaxEnt’22 strives to present Bayesian inference and Maximum Entropy methods in data analysis, information processing and inverse problems from a broad range of diverse disciplines: Astronomy and Astrophysics, Geophysics, Medical Imaging, Molecular Imaging and genomics, Non Destructive Evaluation, Particle and Quantum Physics, Physical and Chemical Measurement Techniques, Economics and Econometrics. This year special interest will be on Geometric Structures of Heat, Information and Entropy.

## Submission Guidelines

All papers must be original and not simultaneously submitted to another journal or conference. The following paper categories are welcome:

**Abstract:**One or two pages to submit before April 5, 2022**Proceedings papers**of 8 pages to submit before June 14, 2022**Selected papers**to be published in a special number after conference.- See instructions and get templates here: https://maxent22.see.asso.fr/wp-content/uploads/sites/2/2022/01/MaxEnt2022_MDPI_templates.zip

## List of Topics

- Topic 1: Foundations of probability, inference, information, entropy
- Topic 2: Bayesian Physics-Informed & Thermodynamics-Informed Machine Learning
- Topic 3: 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

## Committees

### Program Committee

- Ali Mohammad-Djafari
- Frank Nielsen
- Frédéric Barbaresco
- Martino Transinelli

### Organizing committee

- Frédéric Barbaresco
- Frank Nielsen
- Ali Mohammad-Djafari
- Martino Transinelli

## Tutorial day Speakers

**John Skilling**(University of Cambridge, UK) - The arithmetic of uncertainty (TBC)**Kevin Knuth**(University at Albany, USA) - Foundation of physics, probability**Ariel Caticha**(University at Albany, USA) - Quantum Mechanics as Hamilton-Killing Flows on a Statistical Manifold**Frank Nielsen**(SONY CSL, Japan) - Introduction to Information Geometry**Fréderic Barbaresco**(THALES, France) - Symplectic Theory of Heat and Information: Souriau Lie Groups Thermodynamics and Sabourin Transverse Poisson Structures**Ali Mohamed Djafari**(CNRS, France) - Bayesian and Machine Learning Methods for Inverse Problem

## Invited Speakers

**Anna Simoni**(ENSAE, France) – Title to be defined**Antoine Bourget**(CEA and ENS Paris, France) - The Geometry of Quivers**Bobak Toussi Kiani**(MIT, USA) - Quantum algorithms for group convolution, cross-correlation, and equivariant transformations**Emtiyaz Khan (**RIKEN, Japan) - The Bayesian Learning Rule**Fabrizia Guglielmetti**(ALMA Regional Center Scientist at European Southern Observatory, Germany) – Title to be defined**Livia Partay**(University of Warwick, UK) - Nested sampling for materials**Pierre-Henri Wuillemin**(Laboratoire d'Informatique de Paris, France) - Learning Continuous High-Dimensional Models using Mutual Information and Copula Bayesian Networks**Sylvain Gigan**(LKB: Sorbonne University - ENS - Collège de France, France) - Imaging behind scattering layers**Torsten Ensslin**(MPA , Germany) - Theoretical Modeling of Communication Dynamics**Will Handley**(University of Cambridge, UK) - Bayesian sparse reconstruction: a brute-force approach to astronomical imaging and machine learning**Piotr Graczyk**(Angers, France) - Structures of multivariate statistics**Olivier Rioul**(Telecom ParisTech) - What is Randomness? The Interplay between Alpha Entropies, Total Variation and Guessin

## Publication

MaxEnt 2022 proceedings will be published in Proceedings series

https://maxent22.see.asso.fr/wp-content/uploads/sites/2/2022/01/MaxEnt2022_MDPI_templates.zip

by MDPI

## Venue

The 41st International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering, MaxEnt’22 will be held in PARIS organized by SEE (https://www.see.asso.fr/en) under the auspices of « Centre national de la recherche scientifique (CNRS) » and « SCAI Sorbonne University ».

MaxEnt’22 will take place in INSTITUT HENRI POINCARE (http://www.ihp.fr/en). Since its creation in 1928, the IHP has taken an interest in all the disciplinary fields, especially at the interface between mathematics and theoretical physics. The Henri Poincaré Institute was inaugurated on November 17, 1928. This institute is organized around two missions: a teaching mission with the Chairs of Probability and Mathematical Physics and Physical Theory and a research mission with the invitation French and foreign scientists to give lectures in the field of physics and mathematics. Thanks to these two missions, a small group of mathematicians (Emile Borel, Maurice Fréchet, Georges Darmois) uses this institute to create a scientific field dedicated to the theory of probability in Paris. At the same time, they are using this institute to acquire a remarkable place on the international probabilistic scene. First lectures at IHP were given by Emile Borel, Maurice Fréchet and Léon Brillouin on Probability.

## Contact

All questions about submissions should be emailed to this address