For more than 30 years the MaxEnt workshops have explored the use of Bayesian and Maximum Entropy methods in scientific and engineering applications. All aspects of probabilistic inference, such as foundations, techniques, links with physics and applications in sciences and engineering as well as in social and life science, are of interest.

34th International Workshop on

Bayesian Inference and Maximum Entropy

Methods in Science and Engineering

21-26 september 2014, Château Clos Lucé, Parc Leonardo Da Vinci, Amboise, France

The workshop includes a one-day tutorial session, state-of-the-art invited lectures and contributed papers and poster presentations. All accepted papers will be published in a conference series book by American Institut of physics. Selected papers by the program committee may be edited and published in a book or in special issue of a journal.

 


Important dates

  • 16th of May 2014 : Abstract submission & pre-registration
  • 15th of June 2014 : Selection of paper and Registration
  • September 1, Registration due
  • 15th of September Final paper submission
  • 15th of October paper for publication in AIP conference Proceedings

Tutorials

  1. Modern Probability Theory, Kevin H. Knuth

  2. The Basics of Information Geometry, Ariel Caticha

  3. Voronoi diagrams in information geometry, Franck Nielsen

  4. Foundations and Geometry, John Skilling

  5. Uncertainty quantification for computer model, Udo V. Toussaint

  6. Geometric Structures Induced From Divergence Functions, Jun Zhang

  7. Koszul Information Geometry and Souriau Lie Group Thermodynamics, Frédéric Barbaresco

  8. Bayesian and Information Geometry in signal processing, Ali Mohammad-Djafari


About

For more than 30 years the MaxEnt workshops have explored the use of Bayesian and Maximum Entropy methods in scientific and engineering applications. All aspects of probabilistic inference, such as foundations, techniques, links with physics and applications in sciences and engineering as well as in social and life science, are of interest.

34th International Workshop on

Bayesian Inference and Maximum Entropy

Methods in Science and Engineering

21-26 september 2014, Château Clos Lucé, Parc Leonardo Da Vinci, Amboise, France

The workshop includes a one-day tutorial session, state-of-the-art invited lectures and contributed papers and poster presentations. All accepted papers will be published in a conference series book by American Institut of physics. Selected papers by the program committee may be edited and published in a book or in special issue of a journal.

 


Important dates

  • 16th of May 2014 : Abstract submission & pre-registration
  • 15th of June 2014 : Selection of paper and Registration
  • September 1, Registration due
  • 15th of September Final paper submission
  • 15th of October paper for publication in AIP conference Proceedings

Tutorials

  1. Modern Probability Theory, Kevin H. Knuth

  2. The Basics of Information Geometry, Ariel Caticha

  3. Voronoi diagrams in information geometry, Franck Nielsen

  4. Foundations and Geometry, John Skilling

  5. Uncertainty quantification for computer model, Udo V. Toussaint

  6. Geometric Structures Induced From Divergence Functions, Jun Zhang

  7. Koszul Information Geometry and Souriau Lie Group Thermodynamics, Frédéric Barbaresco

  8. Bayesian and Information Geometry in signal processing, Ali Mohammad-Djafari


Sponsors and Organizers

Documents

XLS

Tutorial session 2 (Frank Nielsen, Ariel Caticha, Ken H. Knuth)

Détails de l'article Foundations and Geometry
Détails de l'article Koszul Information Geometry & Souriau Lie Group Thermodynamics Frédéric Barbaresco
Détails de l'article Koszul Information Geometry and Souriau Lie Group Thermodynamics
Détails de l'article Bayesian and Information Geometry in signal processing

Opening session (Ali Mohammad-Djafari, Frédéric Barbaresco)

Détails de l'article MaxEnt’14, The 34th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering Frédéric Barbaresco

Oral session 1 Statistical Manifolds (Jean-François Bercher, Ariel Caticha, Steeve Zozor)

Détails de l'article Triangulating Statistical Manifolds
Détails de l'article From Almost Gaussian to Gaussian
Détails de l'article Koszul Information Geometry & Souriau Lie Group 4Thermodynamics Frédéric Barbaresco
Détails de l'article Koszul Information Geometry and Souriau Lie Group Thermodynamics

Poster session 1 (Nicolas Gac, Kevin Knuth, Mathiew Kowalski, Aurélia Fraisse)

Détails de l'article Cluster Analysis
Détails de l'article Contrast enhancement in polarimetric imaging with correlated noise flucutations
Détails de l'article TIB parametrization of signal processing
Détails de l'article Signal analysis of NEMS sensors at the output of a chromatography column

Oral session 3 Information geometry (Ariel Caticha, Steeve Zozor, Frank Nielsen)

Détails de l'article Foliations in Information Geometry Robert Wolak, Michel Nguiffo Boyom
Détails de l'article Fisher Information Geometry of the Barycenter Map
Détails de l'article Entropy and Integral Geometry on Motion Spaces

Oral session 4 History of Science (John Skilling, AntonyGarrette)

Détails de l'article Shannon’s Formula and Hartley’s Rule: A Mathematical Coincidence?

Oral session 6 Foundations and Geometry (John Skilling, Frank Nielsen, Ariel Caticha)

Détails de l'article Cognitive-Constructivism, Quine, Dogmas of Empiricism, and Muenchhausen’s Trilemma

Poster session 2 (Jean-François Bercher, Valérie Girardin, Marcel Reginatto)

Détails de l'article Non-Negative Matrix Factorization and Term Structure of Interest Rates
Détails de l'article Information Criterion for Selection of Ubiquitous Factors
Détails de l'article Robust Burg Estimation of stationary autoregressive mixtures covariance
Détails de l'article Non Parametric Denoising Methods Based on Wavelets : Application to Electron Microscopy Images in Low Time Exposure
Détails de l'article Most Likely Maximum Entropy for Population Analysis: a case study in decompression sickness prevention
Détails de l'article Comparing Entropy and Energy Goodness-of-fit test for Lévy Distribution
Détails de l'article Variational Bayesian Approach with a heavy-tailed prior distribution for solving a non-linear inverse scattering problem
Détails de l'article Assessment of two MCMC algorithms convergence for Bayesian estimation of the particle size distribution from multiangle dynamic light scattering
Détails de l'article Bayesian Reconstruction in Lévy Distribution
Détails de l'article A Bayesian Analysis Of Kepler-2b Using The EXONEST Algorithm
Détails de l'article TFBS Prediction with Stochastic Differential Equation and Time Series
Détails de l'article Entropy-based goodness-of-fit test for positive stable distribution
Détails de l'article On coarse graining of information and its application to pattern recognition

Oral session 8 Quantum physics (Roger Balian, Jean-François Bercher, Ariel Caticha, Ryszard Kostecki)

Détails de l'article The MaxEnt extension of a quantum Gibbs family, convex geometry and geodesics
Détails de l'article Beyond Landau--Pollak and entropic inequalities: geometric bounds imposed on uncertainties sum

Authors

Abdelbassit Boualem

Détails de l'article Assessment of two MCMC algorithms convergence for Bayesian estimation of the particle size distribution from multiangle dynamic light scattering

Abdeldjalil Ouhabi

Détails de l'article Non Parametric Denoising Methods Based on Wavelets : Application to Electron Microscopy Images in Low Time Exposure

Adel Mohammadpour

Détails de l'article Bayesian Reconstruction in Lévy Distribution
Détails de l'article Entropy-based goodness-of-fit test for positive stable distribution
Détails de l'article TFBS Prediction with Stochastic Differential Equation and Time Series

Alain Jalocha

Détails de l'article Assessment of two MCMC algorithms convergence for Bayesian estimation of the particle size distribution from multiangle dynamic light scattering

Alexis Decurninge

Détails de l'article Robust Burg Estimation of stationary autoregressive mixtures covariance

Ali Ghaderi

Détails de l'article On coarse graining of information and its application to pattern recognition

Ali Mohammad-Djafari

Détails de l'article Bayesian and Information Geometry in signal processing
Détails de l'article Variational Bayesian Approach with a heavy-tailed prior distribution for solving a non-linear inverse scattering problem

Arnaud Poinas

Détails de l'article Triangulating Statistical Manifolds

Ben Placek

Détails de l'article A Bayesian Analysis Of Kepler-2b Using The EXONEST Algorithm

Bernard Duchêne

Détails de l'article Variational Bayesian Approach with a heavy-tailed prior distribution for solving a non-linear inverse scattering problem

Bernard Shiffman

Détails de l'article Entropy and Integral Geometry on Motion Spaces

Bertrand Bourlon

Détails de l'article Signal analysis of NEMS sensors at the output of a chromatography column

Cedric Messaoudi

Détails de l'article Non Parametric Denoising Methods Based on Wavelets : Application to Electron Microscopy Images in Low Time Exposure

Chandra Nair

Détails de l'article From Almost Gaussian to Gaussian

Christian Jutten

Détails de l'article Signal analysis of NEMS sensors at the output of a chromatography column

David Cohen-Steiner

Détails de l'article Triangulating Statistical Manifolds

Francois Bertholon

Détails de l'article Signal analysis of NEMS sensors at the output of a chromatography column

Frédéric Barbaresco

Détails de l'article Koszul Information Geometry & Souriau Lie Group 4Thermodynamics Frédéric Barbaresco
Détails de l'article Koszul Information Geometry & Souriau Lie Group Thermodynamics Frédéric Barbaresco
Détails de l'article Koszul Information Geometry and Souriau Lie Group Thermodynamics
Détails de l'article Koszul Information Geometry and Souriau Lie Group Thermodynamics
Détails de l'article MaxEnt’14, The 34th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering Frédéric Barbaresco
Détails de l'article Robust Burg Estimation of stationary autoregressive mixtures covariance

Gregory Chirikjian

Détails de l'article Entropy and Integral Geometry on Motion Spaces

Gustavo Martín Bosyk

Détails de l'article Beyond Landau--Pollak and entropic inequalities: geometric bounds imposed on uncertainties sum

Hacheme Ayasso

Détails de l'article Variational Bayesian Approach with a heavy-tailed prior distribution for solving a non-linear inverse scattering problem

Hellinton Takada

Détails de l'article Information Criterion for Selection of Ubiquitous Factors
Détails de l'article Non-Negative Matrix Factorization and Term Structure of Interest Rates

Hiroyasu Satoh

Détails de l'article Fisher Information Geometry of the Barycenter Map

Isaac Almasi

Détails de l'article Bayesian Reconstruction in Lévy Distribution

Jean-Daniel Boissonnat

Détails de l'article Triangulating Statistical Manifolds

John Skilling

Détails de l'article Cluster Analysis
Détails de l'article Foundations and Geometry

José Carlos Magossi

Détails de l'article Shannon’s Formula and Hartley’s Rule: A Mathematical Coincidence?

Julien Fade

Détails de l'article Contrast enhancement in polarimetric imaging with correlated noise flucutations

Julio Stern

Détails de l'article Cognitive-Constructivism, Quine, Dogmas of Empiricism, and Muenchhausen’s Trilemma
Détails de l'article Information Criterion for Selection of Ubiquitous Factors
Détails de l'article Non-Negative Matrix Factorization and Term Structure of Interest Rates

Kevin Knuth

Détails de l'article A Bayesian Analysis Of Kepler-2b Using The EXONEST Algorithm

Laurent Gerfault

Détails de l'article Signal analysis of NEMS sensors at the output of a chromatography column

Leila Gharsalli

Détails de l'article Variational Bayesian Approach with a heavy-tailed prior distribution for solving a non-linear inverse scattering problem

Luc Pronzato

Détails de l'article Most Likely Maximum Entropy for Population Analysis: a case study in decompression sickness prevention

Mahdi Teimouri

Détails de l'article Entropy-based goodness-of-fit test for positive stable distribution

Maria-Joao Rendas

Détails de l'article Most Likely Maximum Entropy for Population Analysis: a case study in decompression sickness prevention

Marie Naiim

Détails de l'article Assessment of two MCMC algorithms convergence for Bayesian estimation of the particle size distribution from multiangle dynamic light scattering

Mariela Portesi

Détails de l'article Beyond Landau--Pollak and entropic inequalities: geometric bounds imposed on uncertainties sum

Maryam Hematti

Détails de l'article Comparing Entropy and Energy Goodness-of-fit test for Lévy Distribution

Max H. M. Costa

Détails de l'article From Almost Gaussian to Gaussian

Mehdi Alouini

Détails de l'article Contrast enhancement in polarimetric imaging with correlated noise flucutations

Meryem Jabloun

Détails de l'article Assessment of two MCMC algorithms convergence for Bayesian estimation of the particle size distribution from multiangle dynamic light scattering

Michel Nguiffo Boyom

Détails de l'article Foliations in Information Geometry Robert Wolak, Michel Nguiffo Boyom

Mina Aminghafari

Détails de l'article Comparing Entropy and Energy Goodness-of-fit test for Lévy Distribution
Détails de l'article TFBS Prediction with Stochastic Differential Equation and Time Series

Mitsuhiro Itoh

Détails de l'article Fisher Information Geometry of the Barycenter Map

Mohsen Salehi

Détails de l'article TFBS Prediction with Stochastic Differential Equation and Time Series

Olivier Harant

Détails de l'article Signal analysis of NEMS sensors at the output of a chromatography column

Olivier Rioul

Détails de l'article From Almost Gaussian to Gaussian
Détails de l'article Shannon’s Formula and Hartley’s Rule: A Mathematical Coincidence?

Pedro Walter Lamberti

Détails de l'article Beyond Landau--Pollak and entropic inequalities: geometric bounds imposed on uncertainties sum

Philippe Ravier

Détails de l'article Assessment of two MCMC algorithms convergence for Bayesian estimation of the particle size distribution from multiangle dynamic light scattering

Pierre Grangeat

Détails de l'article Signal analysis of NEMS sensors at the output of a chromatography column

Pooran Memari

Détails de l'article Triangulating Statistical Manifolds

Robert Wolak

Détails de l'article Foliations in Information Geometry Robert Wolak, Michel Nguiffo Boyom

Saeid Rezakhah

Détails de l'article Entropy-based goodness-of-fit test for positive stable distribution

Segio Marco

Détails de l'article Non Parametric Denoising Methods Based on Wavelets : Application to Electron Microscopy Images in Low Time Exposure

Soumia Sid AhmeD

Détails de l'article Non Parametric Denoising Methods Based on Wavelets : Application to Electron Microscopy Images in Low Time Exposure

Steeve Zozor

Détails de l'article Beyond Landau--Pollak and entropic inequalities: geometric bounds imposed on uncertainties sum

Stephan Weis

Détails de l'article The MaxEnt extension of a quantum Gibbs family, convex geometry and geodesics

Swapnesh Panigrahi

Détails de l'article Contrast enhancement in polarimetric imaging with correlated noise flucutations

Sylvain Trepout

Détails de l'article Non Parametric Denoising Methods Based on Wavelets : Application to Electron Microscopy Images in Low Time Exposure

Tristan Osán

Détails de l'article Beyond Landau--Pollak and entropic inequalities: geometric bounds imposed on uncertainties sum

Xiao Yu

Détails de l'article TIB parametrization of signal processing

Youssef Bennani

Détails de l'article Most Likely Maximum Entropy for Population Analysis: a case study in decompression sickness prevention

Zoubeida Messali

Détails de l'article Non Parametric Denoising Methods Based on Wavelets : Application to Electron Microscopy Images in Low Time Exposure

News

SEE will initiate soon preparation of GSI’15 « Geometric Science of Information » conference. Waiting for SEE GSI’15 conference, SEE invite you to submit a paper for SEE MaxEnt’14 “"Maximum Entropy and Bayesian methods in Science and Engineering" conference

that will take place on 21-26 September 2014: https://www.see.asso.fr/maxent14 at Château du Clos Lucé (Last residence of Leonardo Da Vinci), Amboise, France: http://www.vinci-closluce.com/en/

Amboise is at the heart of Loire Valley Castles (http://loire-valley.us/), labeled by UNESCO as World heritage. Le Clos Lucé is at proximity of King Francis the First Amboise Castle (http://loire-valley.us/19-Chateaux/Royal-Chateau-Of-Amboise.html), apex of the French Renaissance and of Vouvray wines vineyards and cellars. Connection from Paris to Amboise by train is only 1h40.

MaxEnt is sponsored by Non-Profit “Jaynes Foundation”. This year, MaxEnt will enlarge its scope with a dedicated focus on “Geometric Science of Information” and “Information Geometry”.

The workshop includes a one day tutorial session, state of the art lectures, invited papers, contributed papers, and poster presentations. Selected papers will be peer reviewed and published in American Institute of Physics (AIP) Proceedings series (http://www.aip.org/). 

MaxEnt workshop is a one week, one track presentations and a very nice place for reflection, exchange and interaction between Mathematics, Physics, Engineering and different applications.

bstracts (one page of about 400 words) of the proposed papers should be received by May 16, 2014.

Would you find attached first Call for Papers and announcement Flyer. More information on MaxEnt’14 webiste http://www.see.asso.fr/maxent14

For your information:

Best regards

F. Barbaresco & A. Mohammad-Djafari

MaxEnt’14 Conference Chairs

Les 630 pages des actes de la conférence SEE MaxEnt’14 « Bayesian Inference and Maximum Entropy Methods in Science and Engineering » ont été édités par AIP « American Institute of Physics ».

proceedings-aip-extrait.pdf

Venue

Château du Clos Lucé, Amboise (France)

Parc Leonardo Da Vinci

2 Rue du Clos Lucé
37400 Amboise, France
+33 2 47 57 00 73