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Société de l'électricité, de l'électronique et des technologies de l'information et de la communication
maxent22a
maxent22b

International Conference on Bayesian and Maximum Entropy methods in Science and Engineering

MaxEnt 2022

July 18-22, IHP, Paris

Call For Papers Submission deadline: TBA, end of 2021

The xxxth 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.

   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.

Themes:

  • Foundations of probability, inference, information, entropy

  • Bayesian Physics-Informed & Thermodynamics-Informed Machine Learning

  • Machine learning tools for inverse problems

  • Bayesian and Maximum Entropy in real world applications

  • Geometric Statistical Mechanics/Physics, Lie Groups Thermodynamics & Maximum Entropy Densities

  • Quantum: Theory, Computation, Tomography and Applications

Conference Co-chairs:

Frédéric Barbaresco

SEE ISIC Club President

THALES, Meudon, France

Ali Mohammad-Djafari

CNRS UMR 8506

CENTRALESUPELEC, Gif-sur-Yvette, France

Frank Nielsen
SONY Computer Science Laboratories Inc

Tokyo, Japan

Martino Trassinelli

CNRS UMR7588

INSP (Institut des NanoSciences de Paris), France

Sorbonne Université, Paris, France

Co-organizers:

  • Ali Mohammad-Djafari (CNRS, France)
  • Frédéric Barbaresco (Thales, France)
  • Frank Nielsen (Sony CSL, Tokyo, Japan)
  • Martino Trassinelli (CNRS, Paris, France)

Local organizing committee:

Xavier Fresquet Sorbonne Center for AI (SCAI) Deputy Director

Lune Maillard INSP (Institut des NanoSciences de Paris)

Leila Gharsali Institut Polytechnique des Sciences Avancées

Maria Trocan Institut Supérieur d'Électronique de Paris

Secretary

Marianne EMORINE, SEE, France

Scientific committee:

  • John Skilling
  • Kevin Knuth
  • Udo von Toussaint
  • Ariel Caticha
  • Robert Niven
  • Wolfgang von der Linden
  • Julio Michael Stern
  • Romke Bontekoe
  • Barrie Stokes
  • Donald Nelson
  • Keith Earle
  • TBA...

Institutions

  • Institut Henri Poincaré http://www.ihp.fr/en
  • Institut des NanoSciences de Paris (INSP) http://www.insp.upmc.fr
  • Institut des Neurosciences Paris-Saclay https://neuropsi.cnrs.fr/
  • Sorbonne Center for Artificial Intellegence (SCAI) https://scai.sorbonne-universite.fr/
  • Institut DATAIA https://dataia.eu/en
  • Artificial Intelligence in Paris and Europe https://ellis-paris.github.io/
  • SEE: Société de l'électricité, de l'électronique et des technologies de l'information et de la communication https://www.see.asso.fr/
  • ISCT: https://isct7.webnode.com/

TBA

Submission deadline: TBA, End of 2021

Important Dates:

  • Deadline for 8 pages SPRINGER LNCS format: 4th March 2022
  • Notification of acceptance: 25th April 2022
  • Final paper submission: 9th May 2022

Paper templates and Guideline on MaxEnt’22 website at “paper submission”

Topics of interests include but are not limited to:

  • Foundations of probability, inference, information, entropy
  • Bayesian Physics-Informed & Thermodynamics-Informed Machine Learning
  • Machine learning tools for inverse problems
  • Bayesian and Maximum Entropy in real world applications
  • Geometric Statistical Mechanics/Physics, Lie Groups Thermodynamics & Maximum Entropy Densities
  • Quantum: Theory, Computation, Tomography and Applications

IHP Institut Henri Poincaré

11 rue Pierre et Marie Curie, 75005 Paris

Amphithéâtre Hermite

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