Nathalie Peyrard

Publication Activity (10 Years)

Years Active: 2002-2018
Publications (10 Years): 5

Top Topics

Markov Decision Process

Inference In Graphical Models

Variable Elimination

Top Venues

Rev. d'Intelligence Artif.

Int. J. Approx. Reason.

Publications

Etienne Auclair, Nathalie Peyrard, Régis Sabbadin
Réseau bayésien dynamique étiqueté pour l'apprentissage de structure d'un réseau écologique. Rev. d'Intelligence Artif. 32 (1) (2018)
Etienne Auclair, Nathalie Peyrard, Régis Sabbadin
Labeled DBN Learning with Community Structure Knowledge. ECML/PKDD (2) (2017)
Alexandre Albore, Nathalie Peyrard, Régis Sabbadin, Florent Teichteil-Königsbuch
An Online Replanning Approach for Crop Fields Mapping with Autonomous UAVs. ICAPS (2015)
Julia Radoszycki, Nathalie Peyrard, Régis Sabbadin
Solving F3MDPs: Collaborative Multiagent Markov Decision Processes with Factored Transitions, Rewards and Stochastic Policies. PRIMA (2015)
Nathalie Peyrard, Simon de Givry, Alain Franc, Stéphane Robin, Régis Sabbadin, Thomas Schiex, Matthieu Vignes
Exact and approximate inference in graphical models: variable elimination and beyond. CoRR (2015)
Julia Radoszycki, Nathalie Peyrard, Régis Sabbadin
Finding good stochastic factored policies for factored Markov decision processes. ECAI (2014)
Mathieu Bonneau, Sabrina Gaba, Nathalie Peyrard, Régis Sabbadin
Reinforcement learning-based design of sampling policies under cost constraints in Markov random fields: Application to weed map reconstruction. Comput. Stat. Data Anal. 72 (2014)
M. Charras-Garrido, Lamiae Azizi, Florence Forbes, Senan Doyle, Nathalie Peyrard, D. Abrial
On the difficulty to delimit disease risk hot spots. Int. J. Appl. Earth Obs. Geoinformation 22 (2013)
Nathalie Peyrard, Régis Sabbadin, Daniel Spring, Barry W. Brook, Ralph Mac Nally
Model-based adaptive spatial sampling for occurrence map construction. Stat. Comput. 23 (1) (2013)
Gauthier Quesnel, Mahuna Akplogan, Mathieu Bonneau, Roger Martin-Clouaire, Nathalie Peyrard, Jean-Pierre Rellier, Régis Sabbadin, Ronan Trépos
Décision dans les agro-écosystèmes. Rev. d'Intelligence Artif. 27 (4-5) (2013)
Régis Sabbadin, Nathalie Peyrard, Nicklas Forsell
A framework and a mean-field algorithm for the local control of spatial processes. Int. J. Approx. Reason. 53 (1) (2012)
Mathieu Bonneau, Nathalie Peyrard, Régis Sabbadin
A Reinforcement-Learning Algorithm for Sampling Design in Markov Random Fields. ECAI (2012)
Alain Franc, M. Goulard, Nathalie Peyrard
Chordal Graphs to Identify Graphical Model Solutions of Maximum of Entropy Under Constraints on Marginals. SIAM J. Discret. Math. 24 (3) (2010)
Nathalie Peyrard, Régis Sabbadin, U. Farrokh Niaz
Decision-theoretic Optimal Sampling in Hidden Markov Random Fields. ECAI (2010)
Nathalie Peyrard, Régis Sabbadin
Mean Field Approximation of the Policy Iteration Algorithm for Graph-Based Markov Decision Processes. ECAI (2006)
Nathalie Peyrard, Patrick Bouthemy
Motion-Based Selection of Relevant Video Segments for Video Summarization. Multim. Tools Appl. 26 (3) (2005)
Florence Forbes, Nathalie Peyrard
Hidden Markov Random Field Model Selection Criteria Based on Mean Field-Like Approximations. IEEE Trans. Pattern Anal. Mach. Intell. 25 (9) (2003)
Nathalie Peyrard, Patrick Bouthemy
Motion-based selection of relevant video segments for video summarisation. ICME (2003)
Nathalie Peyrard, Patrick Bouthemy
Detection of meaningful events in videos based on a supervised classification approach. ICIP (3) (2003)
Gilles Celeux, Florence Forbes, Nathalie Peyrard
EM procedures using mean field-like approximations for Markov model-based image segmentation. Pattern Recognit. 36 (1) (2003)
Nathalie Peyrard, Patrick Bouthemy
Content-Based Video Segmentation using Statistical Motion Models. BMVC (2002)