Tentative program

(Minor modifications still possible)

Sunday 4 -

Monday 5

Welcome Party

Tuesday 6

Wednesday 7

Thursday 8

Banquet

Friday, 9

SUNDAY – JULY, 4 – TUTORIALS DAY

09:15:00-10:15:00 -Tutorial 1 – Information Physics: The New Frontier,

by K. Knuth

10:45:00-11:45 – Tutorial 2 – Entropic Inference,

by A. Caticha

13:30:00-14:30 – Tutorial 3 – High Up from the Ground: A Panoramic View of Inference and MaxEnt ,

by C. Rodriguez

14:30:00-15:30 – Tutorial 4 – Foundations of Computational Inference,

by J. Skilling

16:00:00-17:00 – Tutorial 5 – Bayesian programming: principle, methodology, tools and examples,

by P. Bessière

MONDAY, JULY 5

REGISTRATION

General methods and models, 09:00:00-11:45:00

Chaired by A. Mohammad-Djafari / J.-F. Bercher

  1. Model Selection for Mr Studies of Stroke,
    John Lee, Larry Bretthorst, Colin Derdeyn, Joshua Shimony
  2. Algebraic bayesian foundations of quantum theory,
    Ryszard Pawel Kostecki
  3. Maximum Entropy Modeling For Automatic Content Scoring of Short Free-Text Responses,
    Jana Sukkarieh
  4. Darwinian Model Building,
    Do Kester, Romke Bontekoe

Bayesian models of sensory motor systems, 13:30:00-16:45:00

Chaired by John Skilling

  1. Bayesian inference with spikes. Implication for the neural code, sensory processing and working memory,
    Sophie Deneve
  2. Bayesian Action-Perception loop modeling: Application to trajectory generation and recognition using internal motor simulation,
    Estelle Gilet, Julien Diard, Richard Palluel-Germain, Pierre Bessière
  3. Bayesian Modeling of an Human MMORPG Player,
    Gabriel Synnaeve, Pierre Bessière
  4. Bayesian Visual Odometry,
    Julian Center, Kevin Knuth
  5. Maximum entropy perception-action space: a Bayesian model of eye movement selection,
    Francis Colas, Pierre Bessière, Benoît Girard

POSTER SESSION – Foundations, 16:45:00-19:00:00

Chaired by K. Knuth/ L. Lemmens / D. Johnson

  1. Adaptive Strategies in the Iterated Exchange Problem,
    Arthur Baraov
  2. Finding Proper Non-informative Priors for Regression Coefficients,
    Noel van Erp, Pieter van Gelder
  3. The Ball is Round,
    Do Kester
  4. Significance Indexes: Fisher vs. Bayes,
    Marcio Diniz, Carlos Pereira, Adriano Polpo, Julio Stern
  5. Entropy Estimation for Markovian Queueing Systems,
    Philippe Regnault
  6. The Full Bayesian Significance Test for Symmetry in Contingency Tables,
    Gustavo Bernardo, Marcelo Lauretto, Julio Stern
  7. Baobabs under Stress, A Case of Estimated PDF Transfer,
    Lucien Lemmens, Sebastiaan De Smedt, Roeland Samson
  8. The Order-Theoretic Origin of Special Relativity,
    Kevin Knuth, Newshaw Bahrenyi, Philip Goyal
  9. Non-relativistic Gravity in Entropic Quantum Dynamics,
    David Johnson, Ariel Caticha
  10. Mixture of skewed alpha-stable distributions,
    Sayed Reza Hossaini Shojaei, Vahid Nassiri, Gholam Reza Mohammadian, Adel Mohammadpour
  11. Bayesian Inference for Skewed Stable Distributions,
    Mona Shokripour, Vahid Nassiri, Adel Mohammadpour

To follow: welcome party

TUESDAY 6, JULY

Algorithms for Maximum Entropy and Bayesian computation, 09:00:00-11:45:00

Chaired by Dawn Holmes / Pierre Bessière

  1. Advice on “Computational Methods for Bayesian Model Choice”,
    John Skilling
  2. Self-Adaptive Semantic Crossover for Genetic Programming,
    Julio Stern, Rafael Inhasz
  3. Entropy-Based Search Algorithm for Experimental Design,
    N. K. Malakar, K. H. Knuth
  4. Bayesian inference for MAPK signaling networks,
    George Popescu, Sorina Popescu, Vasile Buzuloiu
  5. Nested Sampling with Constrained Hamiltonian Monte Carlo,
    Michael Betancourt

Information theory and statistical physics, 13:30:00-16:45:00

Chaired by J.-F. Bercher / C. Rodriguez

  1. Information theory of quantum systems and its applications to D-dimensional hydrogenic systems, Rydberg atoms and molecular technology,
    Jesus Sanchez-Dehesa
  2. On moments-based Heisenberg inequalities,
    Steeve Zozor, Mariela Portesi, Pablo Sanchez-Moreno, Jesus Dehesa
  3. Sharp upper bounds for Shannon and Renyi entropies for central potentials,
    Pablo Sanchez-Moreno, Steeve Zozor, Jesus Dehesa
  4. Entropic time,
    Ariel Caticha
  5. Some topics on q-gaussians, escort distributions and Fisher information,
    Jean-François Bercher

POSTER SESSION 2 – Applications, 16:45:00-19:00:00

Chaired by Ken Sauer /  A. Jalobeanu / D.B. Pougaza

  1. NON-EXTENSIVE RADIOBIOLOGY,
    Oscar Sotolongo-Grau, Daniel Rodriguez-Perez, Carlos Antoranz, Oscar Sotolongo-Costa
  2. ONLINE ROBOT DEAD RECKONING LOCALIZATION USING MAXIMUM RELATIVE ENTROPY OPTIMIZATION WITH MODEL CONSTRAINTS,
    Renaldas Urniezius
  3. Nonlinear Source Separation: A Maximum Likelihood Approach for Quadratic Mixtures,
    Chahinez Chaouchi, Yannick Deville, Shahram Hosseini
  4. Superresolution of compact neutron spectrometers, with applications to fusion diagnostics,
    Marcel Reginatto, Andreas Zimbal
  5. Bayesian approach to siRNA-mediated gene silencing phenotypes quantification and off-target level estimation,
    Yannis Kalaidzidis, Jochen Rink, Claudio Collinet, Akhila Chandrashaker, Martin Stötter, Eugenio Fava, Marino Zerial
  6. On combined estimation of expected backgrounds with statistical
    and systematic uncertainties in planned experiment,
    Sergey Bityukov, Nikolai Krasnikov, Vera Smirnova
  7. Towards a Bayesian seismotectonic zoning for use in Probabilistic Seismic Hazard Assessment (PSHA),
    Boris Le Goff, Delphine Fitzenz, Céline Beauval
  8. APPLICATION OF A BAYESIAN INFERENCE METHOD TO RECONSTRUCT SHORT-RANGE ATMOSPHERIC DISPERSION EVENTS,
    Inanc Senocak
  9. GNU MCSim: Bayesian Statistical Inference for System Biology Models,
    Rudy Gunawan, Frederic Bois
  10. A Bayesian approach to Fourier Synthesis inverse problem with application in SAR imaging,
    Sha Zhu, Ali Mohammad-Djafari
  11. Optimal Path and Sensor Selection for Target Tracking in Wireless Sensor Networks,
    Majdi Mansouri, Hichem Snoussi, Moez Esseghir, Cedric Richard
  12. Signals and Images Foreground/Background Joint Estimation and Separation,
    Boujemaa Ait-El-Fquih, Ali Mohammad-Djafari
  13. MAXENT FOR CLIMATE IMPACT PREDICTION FOR MANGROVE HABITAT IN THE BAY OF BENGAL RIM,
    Md. Saiful Islam
  14. Total Reliability Management by Bayesian Approach,
    Ding Huang

WEDNESDAY, JULY 7

Bayesian algorithms for multi-channel image analysis, 09:00:00-11:45:00

Chaired by J.Y. Tourneret / N. Dobigeon / I. Smith

  1. Three-dimensional visualization and identification of objects in photon starved scenes using statistical estimation,
    Bahram Javidi, Dipak Dey, M. Cho, M. Jung
  2. Bayesian fusion of hyperspectral astronomical images,
    André Jalobeanu, Matthieu Petremand, Christophe Collet
  3. Unmixing hyperspectral images using Markov random fields,
    Olivier Eches, Nicolas Dobigeon, Jean-Yves Tourneret, .
  4. An Investigation of Likelihoods and Priors for Bayesian Endmember Estimation,
    Alina Zare, Paul Gader
  5. Multichannel SAR Image Classification by Finite Mixtures, Copula Theory and Markov Random Fields,
    Vladimir A. Krylov, Gabriele Moser, Sebastiano B. Serpico, Josiane Zerubia

Afternoon: excursion

THURSDAY, JULY 8

Non parametric  methods and experimental design , 09:00:00-11:45:00

Chaired by E. Mazer

  1. THE MAXIMUM ENTROPY FORMALISM AND A GENERALIZATION OF THE SYMMETRIC DIRICHLET DISTRIBUTION,
    Dawn Holmes
  2. MAXIMUM ENTROPIES  COPULAS,
    Doriano-Boris Pougaza, Ali Mohammad-Djafari
  3. DIGITAL PARTICLE IMAGE VELOCIMETRY USING SPLINES IN TENSION,
    Udo von Toussaint, Silvio Gori
  4. CONFIDENCE DISTRIBUTIONS IN STATISTICAL INFERENCE,
    Sergey Bityukov, Nikolai Krasnikov, Saralees Nadaraja, Vera Smirnova
  5. Bayesian Validation of CAIX Immunohistochemical Assays of CAIX,
    Rudy Gunawan, Giuseppe Tenti, Siv Sivaloganathan

Bayesian and maximum entropy inference in action: applications, 13:30:00-16:45

Chaired by B. Javidi / U. Von Toussaint

  1. The use of bayesian programming in industrial applications,
    Emmanuel Mazer
  2. Parameter Estimation as a Problem in Statistical Thermodynamics,
    Keith Earle, David Schneider
  3. Reinforcement Learning by Relative Entropy Policy Search,
    Jan Peters, Katharina Muelling, Yasemin Altun
  4. Bayesian Techniques for Parameter Inference and Knowledge Fusion in Prognostics and Health Management A Case Study,
    Masoud Rabiei, Mohammad Modarres, Ali Mohammad-Djafari
  5. ID image characterization by entropic biometric decomposition,
    Smoaca Andreea, Coltuc Daniela, Fournel Thierry,

POSTER SESSION 3 – Methods and Algorithms, 16:45:00-19:00:00

Chaired by J. Stern/ K. Sauer / H. Ayasso

  1. The Posterior distribution of the Likelihood Ratio as a measure of evidence,
    Isabelle Smith, André Ferrari
  2. A Method for Evaluating Tuning Functions of Single Neurons based on Mutual Information Maximization,
    Lukas Brostek, Thomas Eggert, Ulrich Büttner, Stefan Glasauer
  3. Gaussian Process Segmentation of Co-Moving Animals,
    Steven Reece, Richard Mann, Stephen Roberts
  4. Speed-gradient principle for description of transient dynamics in systems obeying maximum entropy principle,
    Alexander Fradkov, Anton Krivtsov
  5. GENERALIZED MAXIMUM ENTROPY PRINCIPLE, SUPERSTATISTICS AND PROBLEM OF NETWORKS CLASSIFICATION,
    Bahruz Gadjiev
  6. COMPARATIVE ANALYSIS OF COLLABORATION NETWORKS,
    Tatiana Progulova, Bahruz Gadjiev
  7. Bayesian experiments for numerical solution of differential equations and integrals,
    Fábio Mendes
  8. A global optimization heuristic for Nonlinear UAV Task Assignment Problem – The Cross-Entropy method,
    NGUYEN Duc Manh, LE THI Hoai An, PHAM Dinh Tao
  9. A Maximum Entropy Approach to Semi-supervised Learning,
    Ayse Erkan, Yasemin Altun
  10. EMPIRICAL BAYES ESTIMATION USING RANKED SET SAMPLING,
    Mina Aminghafari, Adel Mohammadpour, Hadi Zare
  11. BAYESIAN INFERENCE USING MAXIMUM ENTROPY: ANALYSIS AND APPLICATION,
    Fadi Chakik, Fadi Dornaika, Ahmad Shahin
  12. Statistical Learning Approach using Maximum Entropy: Texture Image Classification by Energy Function,
    Fadi Chakik, Fadi Dornaika, Ahmad Shahin

WORKSHOP BANQUET

FRIDAY, JULY 9

Foundations, 09:00:00-10:15:00

Chaired by A. Garrett

  1. Logarithm ubiquity in statistics, information, acoustics, …,
    Maurin
  2. Modeling the World by Minimizing Relative Entropy,
    Antoine van de Ven, Ben A.M. Schouten, Fontys University of Applied Sciences and Eindhoven University of Technology

Markovian Processes , 10:45:00-11:45:00

Chaired by S. Zozor

  1. Spectral Design in Markov Random Fields,
    Jiao Wang, Jean-Baptiste Thibault, Zhou Yu, Ken Sauer, Charles Bouman
  2. Determination and Estimation of Generalized Entropy Rates for Countable Markov Chains,
    G Ciuperca, valérie Girardin, L Lhote

Information geometry and information theory, 13:30:00-15:15:00

Chaired by V. Girardin

  1. Geometric and Topological Invariants of the Hypothesis Space,
    Carlos Rodriguez
  2. Geometry of Covariance Matrices and Computation of Median,
    Le Yang, Marc Arnaudon, Frédéric Barbaresco

Tentative program until May 17, 2010

Maxent2010-program