Nathalie Peyrard

According to our database, Nathalie Peyrard authored at least 22 papers between 2002 and 2018.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2018

Réseau bayésien dynamique étiqueté pour l'apprentissage de structure d'un réseau écologique.

Etienne Auclair, Nathalie Peyrard, Régis Sabbadin

Rev. d'Intelligence Artif., 2018

2017

Labeled DBN Learning with Community Structure Knowledge.

Etienne Auclair, Nathalie Peyrard, Régis Sabbadin

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

2015

Exact and approximate inference in graphical models: variable elimination and beyond.

Nathalie Peyrard, Simon de Givry, Alain Franc, Stéphane Robin, Régis Sabbadin, Thomas Schiex, Matthieu Vignes

CoRR, 2015

Solving F3MDPs: Collaborative Multiagent Markov Decision Processes with Factored Transitions, Rewards and Stochastic Policies.

Julia Radoszycki, Nathalie Peyrard, Régis Sabbadin

Proceedings of the PRIMA 2015: Principles and Practice of Multi-Agent Systems, 2015

An Online Replanning Approach for Crop Fields Mapping with Autonomous UAVs.

Alexandre Albore, Nathalie Peyrard, Régis Sabbadin, Florent Teichteil-Königsbuch

Proceedings of the Twenty-Fifth International Conference on Automated Planning and Scheduling, 2015

2014

Reinforcement learning-based design of sampling policies under cost constraints in Markov random fields: Application to weed map reconstruction.

Mathieu Bonneau, Sabrina Gaba, Nathalie Peyrard, Régis Sabbadin

Comput. Stat. Data Anal., 2014

Finding good stochastic factored policies for factored Markov decision processes.

Julia Radoszycki, Nathalie Peyrard, Régis Sabbadin

Proceedings of the ECAI 2014 - 21st European Conference on Artificial Intelligence, 18-22 August 2014, Prague, Czech Republic, 2014

2013

Model-based adaptive spatial sampling for occurrence map construction.

Nathalie Peyrard, Régis Sabbadin, Daniel Spring, Barry W. Brook, Ralph Mac Nally

Stat. Comput., 2013

Décision dans les agro-écosystèmes.

Gauthier Quesnel, Mahuna Akplogan, Mathieu Bonneau, Roger Martin-Clouaire, Nathalie Peyrard, Jean-Pierre Rellier, Régis Sabbadin, Ronan Trépos

Rev. d'Intelligence Artif., 2013

On the difficulty to delimit disease risk hot spots.

M. Charras-Garrido, Lamiae Azizi, Florence Forbes, Senan Doyle, Nathalie Peyrard, D. Abrial

Int. J. Appl. Earth Obs. Geoinformation, 2013

Méthodes variationnelles pour l'estimation, l'inférence et la décision dans les modèles graphiques.

Nathalie Peyrard

, 2013

2012

A framework and a mean-field algorithm for the local control of spatial processes.

Régis Sabbadin, Nathalie Peyrard, Nicklas Forsell

Int. J. Approx. Reason., 2012

A Reinforcement-Learning Algorithm for Sampling Design in Markov Random Fields.

Mathieu Bonneau, Nathalie Peyrard, Régis Sabbadin

Proceedings of the ECAI 2012, 2012

2010

Chordal Graphs to Identify Graphical Model Solutions of Maximum of Entropy Under Constraints on Marginals.

Alain Franc, M. Goulard, Nathalie Peyrard

SIAM J. Discret. Math., 2010

Decision-theoretic Optimal Sampling in Hidden Markov Random Fields.

Nathalie Peyrard, Régis Sabbadin, U. Farrokh Niaz

Proceedings of the ECAI 2010, 2010

2006

Mean Field Approximation of the Policy Iteration Algorithm for Graph-Based Markov Decision Processes.

Nathalie Peyrard, Régis Sabbadin

Proceedings of the ECAI 2006, 17th European Conference on Artificial Intelligence, August 29, 2006

2005

Motion-Based Selection of Relevant Video Segments for Video Summarization.

Nathalie Peyrard, Patrick Bouthemy

Multim. Tools Appl., 2005

2003

EM procedures using mean field-like approximations for Markov model-based image segmentation.

Gilles Celeux, Florence Forbes, Nathalie Peyrard

Pattern Recognit., 2003

Hidden Markov Random Field Model Selection Criteria Based on Mean Field-Like Approximations.

Florence Forbes, Nathalie Peyrard

IEEE Trans. Pattern Anal. Mach. Intell., 2003

Motion-based selection of relevant video segments for video summarisation.

Nathalie Peyrard, Patrick Bouthemy

Proceedings of the 2003 IEEE International Conference on Multimedia and Expo, 2003

Detection of meaningful events in videos based on a supervised classification approach.

Nathalie Peyrard, Patrick Bouthemy

Proceedings of the 2003 International Conference on Image Processing, 2003

2002

Content-Based Video Segmentation using Statistical Motion Models.

Nathalie Peyrard, Patrick Bouthemy

Proceedings of the British Machine Vision Conference 2002, 2002