Yann Chevaleyre

Yann Chevaleyre, Pegah Alizadeh, Jean-Daniel Zucker, 2015, The 2015 IEEE RIVF International Conference on Computing & Communication Technologies - Research, Innovation, and Vision for Future (RIVF).

Solving Multiple-Instance and Multiple-Part Learning Problems with Decision Trees and Rule Sets. Application to the Mutagenesis Problem

Yann Chevaleyre, Jean-Daniel Zucker, Jean-Daniel Zucker, 2001, Canadian Conference on AI.

Theoretical analysis of the multi-agent patrolling problem

Yann Chevaleyre, Y. Chevaleyre, 2004, Proceedings. IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2004. (IAT 2004)..

A meta-learning approach to ground symbols from visual percepts

Yann Chevaleyre, Alexis Drogoul, Jean-Daniel Zucker, 2003, Robotics Auton. Syst..

Noise-Tolerant Rule induction from Multi-Instance data

Yann Chevaleyre, 2001 .

Trajectories of goods in distributed allocation

Yann Chevaleyre, Nicolas Maudet, Ulrich Endriss, 2008, AAMAS.

New Candidates Welcome! Possible Winners with respect to the Addition of New Candidates pdf

Yann Chevaleyre, Nicolas Maudet, Jérôme Monnot, 2011, Math. Soc. Sci..

Hybrid of linear programming and genetic algorithm for optimizing agent-based simulation. Application to optimization of sign placement for tsunami evacuation

Yann Chevaleyre, Jean-Daniel Zucker, Hô Tuòng Vinh, 2015, The 2015 IEEE RIVF International Conference on Computing & Communication Technologies - Research, Innovation, and Vision for Future (RIVF).

Experiments with Adaptive Transfer Rate in Reinforcement Learning

Yann Chevaleyre, Jean-Daniel Zucker, Aydano Machado, 2008, PKAW.

Sur le caractère égalitaire de l'allocation de ressources distribuée

Yann Chevaleyre, Nicolas Maudet, Ulrich Endriss, 2005, JFSMA.

Learning conditionally lexicographic preference relations

Yann Chevaleyre, Richard Booth, Jérôme Lang, 2010, ECAI.

On Maximal Classes of Utility Functions for Efficient one-to-one Negotiation

Yann Chevaleyre, Nicolas Maudet, Ulrich Endriss, 2005, IJCAI.

Allocating Goods on a Graph to Eliminate Envy

Yann Chevaleyre, Nicolas Maudet, Ulrich Endriss, 2007, AAAI.

Proving μ>1 pdf

Yann Chevaleyre, Olivier Teytaud, Laurent Meunier, 2020, ArXiv.

Some Recent Results and Open Questions in Distributed Resource Allocation

Yann Chevaleyre, Nicolas Maudet, Ulle Endriss, 2006, Decision Theory and Multi-Agent Planning.

Physically grounding the lexical semantics of words in a robot visual perception

Yann Chevaleyre, Nicolas Bredeche, 2002 .

Une approche multi-agent adaptative pour la simulation de schémas tactiques

Yann Chevaleyre, Jean-Daniel Zucker, Aydano Machado, 2006, EGC.

Disease Classification in Metagenomics with 2D Embeddings and Deep Learning pdf

Nataliya Sokolovska, Yann Chevaleyre, Jean-Daniel Zucker, 2018, ArXiv.

Solving MDPs with Unknown Rewards Using Nondominated Vector-Valued Functions

Yann Chevaleyre, Pegah Alizadeh, François Lévy, 2016, STAIRS.

Interpretable and accurate prediction models for metagenomics data

Yann Chevaleyre, Blaise Hanczar, Jean-Daniel Zucker, 2018, bioRxiv.

Learning Ordinal Preferences on Multiattribute Domains: The Case of CP-nets

Yann Chevaleyre, Jérôme Lang, Bruno Zanuttini, 2010, Preference Learning.

Expressive Power of Weighted Propositional Formulas for Cardinal Preference Modeling

Yann Chevaleyre, Ulrich Endriss, Jérôme Lang, 2006, KR.

Risk Scores Learned by Deep Restricted Boltzmann Machines with Trained Interval Quantization

Nataliya Sokolovska, Yann Chevaleyre, Jean-Daniel Zucker, 2018, MLDM.

Robust Neural Networks using Randomized Adversarial Training pdf

Yann Chevaleyre, Rafael Pinot, Florian Yger, 2019, ArXiv.

Optimizing the Placement of Evacuation Signs on Road Network with Time and Casualties in Case of a Tsunami

Yann Chevaleyre, Jean-Daniel Zucker, Thi Anh Ngoc Nguyen, 2012, 2012 IEEE 21st International Workshop on Enabling Technologies: Infrastructure for Collaborative Enterprises.

Compilation and communication protocols for voting rules with a dynamic set of candidates

Yann Chevaleyre, Nicolas Maudet, Jérôme Monnot, 2011, TARK XIII.

Wrapper for object detection in an autonomous mobile robot

Yann Chevaleyre, Nicolas Bredèche, Louis Hugues, 2002, Object recognition supported by user interaction for service robots.

Approaches to Optimize Local Evacuation Maps for Helping Evacuation in Case of Tsunami

Yann Chevaleyre, Jean-Daniel Zucker, Hô Tuòng Vinh, 2014, ISCRAM-med.

Experimental analysis of new algorithms for learning ternary classifiers

Yann Chevaleyre, Jean-Daniel Zucker, Dao Van Sang, 2015, The 2015 IEEE RIVF International Conference on Computing & Communication Technologies - Research, Innovation, and Vision for Future (RIVF).

Compiling the votes of a subelectorate

Yann Chevaleyre, Nicolas Maudet, Jérôme Lang, 2009, IJCAI 2009.

Best Arm Identification in Graphical Bilinear Bandits pdf

Yann Chevaleyre, Igor Colin, Albert Thomas, 2020, ArXiv.

Learning Rules from Multiple Instance Data: Issues and Algorithms

Yann Chevaleyre, Jean-Daniel Zucker, Jean-Daniel Zucker, 2001 .

A theoretical analysis of multi-agent patrolling strategies

Yann Chevaleyre, François Sempé, Geber Ramalho, 2004, Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems, 2004. AAMAS 2004..

Representing Utility Functions via Weighted Goals

Yann Chevaleyre, Ulrich Endriss, Jérôme Lang, 2009, Math. Log. Q..

Issues in Multiagent Resource Allocation

Yann Chevaleyre, Julian Padget, Nicolas Maudet, 2006, Informatica.

The complexity of deciding reachability properties of distributed negotiation schemes

Yann Chevaleyre, Paul E. Dunne, Y. Chevaleyre, 2008, Theor. Comput. Sci..

Solving multiple-instance and multiple-part learning problems with decision trees and decision rules . Application to the mutagenesis problem

Yann Chevaleyre, Jean-Daniel Zucker, Jean-Daniel Zucker, 2000 .

Theoretical analysis of the multi-agent patrolling problem

Yann Chevaleyre, 2004 .

On Lipschitz Regularization of Convolutional Layers using Toeplitz Matrix Theory

Yann Chevaleyre, Jamal Atif, Alexandre Araujo, 2020, AAAI.

Preference Handling in Combinatorial Domains: From AI to Social Choice

Yann Chevaleyre, Nicolas Maudet, Ulrich Endriss, 2008, AI Mag..

The fused lasso penalty for learning interpretable medical scoring systems

Nataliya Sokolovska, Yann Chevaleyre, Jean-Daniel Zucker, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

How equitable is rational negotiation?

Yann Chevaleyre, Nicolas Maudet, Ulrich Endriss, 2006, AAMAS '06.

A Short Introduction to Computational Social Choice

Yann Chevaleyre, Nicolas Maudet, Ulrich Endriss, 2007, SOFSEM.

Multiagent resource allocation

Yann Chevaleyre, Nicolas Maudet, Jérôme Lang, 2005, The Knowledge Engineering Review.

Possible Winners when New Candidates Are Added: The Case of Scoring Rules

Yann Chevaleyre, Nicolas Maudet, Jérôme Monnot, 2010, AAAI.

The robot swarm re-localization problem

Yann Chevaleyre, Nicolas Bredèche, 2009, 2008 IEEE International Conference on Robotics and Biomimetics.

On the Expressive Power of Deep Fully Circulant Neural Networks pdf

Yann Chevaleyre, Jamal Atif, Benjamin Négrevergne, 2019, ArXiv.

Online Trajectory Planning Through Combined Trajectory Optimization and Function Approximation: Application to the Exoskeleton Atalante

Yann Chevaleyre, Nicolas Bredèche, Alexis Duburcq, 2020, 2020 IEEE International Conference on Robotics and Automation (ICRA).

Rounding Methods for Discrete Linear Classification

Yann Chevaleyre, Jean-Daniel Zucker, Frédéric Koriche, 2013, ICML.

Randomization matters. How to defend against strong adversarial attacks

Yann Chevaleyre, Rafael Pinot, Jamal Atif, 2020, ICML.

Speeding up the evaluation of casualties in multi-agent simulations with Linear Programming application to optimization of sign placement for tsunami evacuation

Yann Chevaleyre, Jean-Daniel Zucker, Hô Tuòng Vinh, 2013, The 2013 RIVF International Conference on Computing & Communication Technologies - Research, Innovation, and Vision for Future (RIVF).

The Power of Swap Deals in Distributed Resource Allocation

Yann Chevaleyre, Nicolas Maudet, Aurélie Beynier, 2015, AAMAS.

Negotiating over small bundles of resources

Yann Chevaleyre, Nicolas Maudet, Ulrich Endriss, 2005, AAMAS '05.

Training compact deep learning models for video classification using circulant matrices pdf

Yann Chevaleyre, Jamal Atif, Benjamin Négrevergne, 2018, ECCV Workshops.

Advantage based value iteration for Markov decision processes with unknown rewards

Yann Chevaleyre, Pegah Alizadeh, François Lévy, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Understanding and Training Deep Diagonal Circulant Neural Networks

Yann Chevaleyre, Jamal Atif, Alexandre Araujo, 2020, ECAI.

A Wrapper-Based Approach to Robot Learning Concepts from Images

Yann Chevaleyre, Jean-Daniel Zucker, Nicolas Bredèche, 2002, PRICAI.