Philippe Preux

124 papers A* 11A 7B 7C 4Misc 1Journal 60Unranked 33

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Breiman meets Bellman: Non-Greedy Decision Trees with MDPs. KDD (2) Hector Kohler, Riad Akrour, Philippe Preux
2025	J	`jnl`	Evaluating Interpretable Reinforcement Learning by Distilling Policies into Programs. CoRR Hector Kohler, Quentin Delfosse, Waris Radji, Riad Akrour, Philippe Preux
2025	J	`jnl`	Yara: An Ocean Virtual Environment for Research and Development of Autonomous Sailing Robots and Other Unmanned Surface Vessels. J. Intell. Robotic Syst. Eduardo Charles Vasconcellos, Álvaro Pinto Fernandes de Negreiros, André Paulo Dantas de Araújo, Raphael Guerra, Philippe Preux, Davi Henrique dos Santos, Luiz Marcos Garcia Gonçalves, Esteban Walter Gonzalez Clua
2024	—	`conf`	A comparison of DRL with APF and A* with PI Control for Trajectory Planning with Obstacle Avoidance for Sailboat Robots. LARS André P. D. de Araújo, Vishali Mankina, Carlo Cernicchiaro, Philippe Preux, Cosimo Distante, Eduardo Charles Vasconcellos, Diego N. Brandão, Luiz Marcos Garcia Gonçalves, Esteban Clua
2024	J	`jnl`	AdaStop: adaptive statistical testing for sound comparisons of Deep RL agents. Trans. Mach. Learn. Res. Timothée Mathieu, Matheus Centa, Riccardo Della Vecchia, Hector Kohler, Alena Shilova, Odalric-Ambrym Maillard, Philippe Preux
2024	J	`jnl`	Augmenting Ad-Hoc IR Dataset for Interactive Conversational Search. Trans. Mach. Learn. Res. Pierre Erbacher, Jian-Yun Nie, Philippe Preux, Laure Soulier
2024	J	`jnl`	General System Architecture and COTS Prototyping of an AIoT-Enabled Sailboat for Autonomous Aquatic Ecosystem Monitoring. IEEE Internet Things J. André Paulo Dantas de Araújo, Dickson H. J. Daniel, Raphael Guerra, Diego N. Brandão, Eduardo Charles Vasconcellos, Álvaro Pinto Fernandes de Negreiros, Esteban Walter Gonzalez Clua, Luiz M. G. Gonçalves, Philippe Preux
2024	J	`jnl`	IDEQ: an improved diffusion model for the TSP. CoRR Mickael Basson, Philippe Preux
2024	J	`jnl`	Interpretable and Editable Programmatic Tree Policies for Reinforcement Learning. CoRR Hector Kohler, Quentin Delfosse, Riad Akrour, Kristian Kersting, Philippe Preux
2024	J	`jnl`	PAQA: Toward ProActive Open-Retrieval Question Answering. CoRR Pierre Erbacher, Jian-Yun Nie, Philippe Preux, Laure Soulier
2024	—	`conf`	PAQA: Vers des systèmes ProActifs face aux Questions Ambiguës. CORIA Pierre Erbacher, Jian-Yun Nie, Philippe Preux, Laure Soulier
2024	J	`jnl`	Reinforcement-learning robotic sailboats: simulator and preliminary results. CoRR Eduardo Charles Vasconcellos, Ronald M. Sampaio, André P. D. de Araújo, Esteban Walter Gonzales Clua, Philippe Preux, Raphael Guerra, Luiz M. G. Gonçalves, Luis Martí, Hernan Lira, Nayat Sánchez-Pi
2024	—	`conf`	Statistical comparison in empirical computer science with minimal computation usage. ACM-REP Timothée Mathieu, Philippe Preux
2024	J	`jnl`	Towards a Research Community in Interpretable Reinforcement Learning: the InterpPol Workshop. CoRR Hector Kohler, Quentin Delfosse, Paul Festor, Philippe Preux
2024	—	`conf`	Towards an Autonomous Sailboat Navigation Control Architecture. LARS André P. D. de Araújo, Raphael Guerra, Vishali Mankina, Philippe Preux, Cosimo Distante, Eduardo Charles Vasconcellos, Diego N. Brandão, Luiz Marcos Garcia Gonçalves, Esteban Clua
2023	J	`jnl`	AdaStop: sequential testing for efficient and reliable comparisons of Deep RL Agents. CoRR Timothée Mathieu, Riccardo Della Vecchia, Alena Shilova, Matheus Centa de Medeiros, Hector Kohler, Odalric-Ambrym Maillard, Philippe Preux
2023	—	`conf`	Augmentation de jeux de données RI pour la recherche conversationnelle à initiative mixte. CORIA-TALN Pierre Erbacher, Philippe Preux, Jian-Yun Nie, Laure Soulier
2023	J	`jnl`	Augmenting Ad-Hoc IR Dataset for Interactive Conversational Search. CoRR Pierre Erbacher, Jian-Yun Nie, Philippe Preux, Laure Soulier
2023	J	`jnl`	Development and validation of an interpretable machine learning-based calculator for predicting 5-year weight trajectories after bariatric surgery: a multinational retrospective cohort SOPHIA study. CoRR Patrick Saux, Pierre Bauvin, Violeta Raverdy, Julien Teigny, Hélène Verkindt, Tomy Soumphonphakdy, Maxence Debert, Anne Jacobs, Daan Jacobs, Valerie Monpellier, Phong Ching Lee, Chin Hong Lim, Johanna C. Andersson-Assarsson, Lena M. S. Carlsson, Per-Arne Svensson, Florence Galtier, Guelareh Dezfoulian, Mihaela Moldovanu, Severine Andrieux, Julien Couster, Marie Lepage, Erminia Lembo, Ornella Verrastro, Maud Robert, Paulina Salminen, Geltrude Mingrone, Ralph Peterli, Ricardo V. Cohen, Carlos Zerrweck, David Nocca, Carel W. Le Roux, Robert Caiazzo, Philippe Preux, François Pattou
2023	J	`jnl`	Discovering the Interpretability-Performance Pareto Front of Decision Trees with Dynamic Programming. CoRR Hector Kohler, Riad Akrour, Philippe Preux
2023	J	`jnl`	Optimal Interpretability-Performance Trade-off of Classification Trees with Black-Box Reinforcement Learning. CoRR Hector Kohler, Riad Akrour, Philippe Preux
2023	A*	`conf`	Soft Action Priors: Towards Robust Policy Transfer. AAAI Matheus Centa, Philippe Preux
2023	—	`conf`	Vision of the Seas: Open Visual Perception Framework for Autonomous Sailing Vessels. IWSSIP André P. D. de Araújo, Ganadev Prajapathy Chandrasekharan, Esteban Walter Gonzalez Clua, Philippe Preux, Eduardo Charles Vasconcellos, Luiz Marcos Garcia Gonçalves
2022	—	`conf`	Automated Planning for Robotic Guidewire Navigation in the Coronary Arteries. RoboSoft Pierre Schegg, Jérémie Dequidt, Eulalie Coevoet, Edouard Leurent, Rémi Sabatier, Philippe Preux, Christian Duriez
2022	J	`jnl`	Entropy Regularized Reinforcement Learning with Cascading Networks. CoRR Riccardo Della Vecchia, Alena Shilova, Philippe Preux, Riad Akrour
2022	J	`jnl`	Reinforcement learning for crop management support: Review, prospects and challenges. Comput. Electron. Agric. Romain Gautron, Odalric-Ambrym Maillard, Philippe Preux, Marc Corbeels, Régis Sabbadin
2022	J	`jnl`	Soft Action Priors: Towards Robust Policy Transfer. CoRR Matheus Centa, Philippe Preux
2022	J	`jnl`	gym-DSSAT: a crop model turned into a Reinforcement Learning environment. CoRR Romain Gautron, Emilio J. Padrón, Philippe Preux, Julien Bigot, Odalric-Ambrym Maillard, David Emukpere
2021	A*	`conf`	Adversarially Guided Actor-Critic. ICLR Yannis Flet-Berliac, Johan Ferret, Olivier Pietquin, Philippe Preux, Matthieu Geist
2021	J	`jnl`	Adversarially Guided Actor-Critic. CoRR Yannis Flet-Berliac, Johan Ferret, Olivier Pietquin, Philippe Preux, Matthieu Geist
2021	A*	`conf`	Don't Do What Doesn't Matter: Intrinsic Motivation with Action Usefulness. IJCAI Mathieu Seurin, Florian Strub, Philippe Preux, Olivier Pietquin
2021	J	`jnl`	Don't Do What Doesn't Matter: Intrinsic Motivation with Action Usefulness. CoRR Mathieu Seurin, Florian Strub, Philippe Preux, Olivier Pietquin
2021	J	`jnl`	Interferometric Graph Transform for Community Labeling. CoRR Nathan Grinsztajn, Louis Leconte, Philippe Preux, Edouard Oyallon
2021	A*	`conf`	Learning Value Functions in Deep Policy Gradients using Residual Variance. ICLR Yannis Flet-Berliac, Reda Ouhamma, Odalric-Ambrym Maillard, Philippe Preux
2021	J	`jnl`	Low-Rank Projections of GCNs Laplacian. CoRR Nathan Grinsztajn, Philippe Preux, Edouard Oyallon
2021	J	`jnl`	More Efficient Exploration with Symbolic Priors on Action Sequence Equivalences. CoRR Toby Johnstone, Nathan Grinsztajn, Johan Ferret, Philippe Preux
2021	C	`conf`	READYS: A Reinforcement Learning Based Strategy for Heterogeneous Dynamic Scheduling. CLUSTER Nathan Grinsztajn, Olivier Beaumont, Emmanuel Jeannot, Philippe Preux
2021	A*	`conf`	There Is No Turning Back: A Self-Supervised Approach for Reversibility-Aware Reinforcement Learning. NeurIPS Nathan Grinsztajn, Johan Ferret, Olivier Pietquin, Philippe Preux, Matthieu Geist
2021	J	`jnl`	There Is No Turning Back: A Self-Supervised Approach for Reversibility-Aware Reinforcement Learning. CoRR Nathan Grinsztajn, Johan Ferret, Olivier Pietquin, Philippe Preux, Matthieu Geist
2020	B	`conf`	"I'm Sorry Dave, I'm Afraid I Can't Do That" Deep Q-Learning from Forbidden Actions. IJCNN Mathieu Seurin, Philippe Preux, Olivier Pietquin
2020	J	`jnl`	A Machine of Few Words - Interactive Speaker Recognition with Reinforcement Learning. CoRR Mathieu Seurin, Florian Strub, Philippe Preux, Olivier Pietquin
2020	A	`conf`	A Machine of Few Words: Interactive Speaker Recognition with Reinforcement Learning. INTERSPEECH Mathieu Seurin, Florian Strub, Philippe Preux, Olivier Pietquin
2020	J	`jnl`	Geometric Deep Reinforcement Learning for Dynamic DAG Scheduling. CoRR Nathan Grinsztajn, Olivier Beaumont, Emmanuel Jeannot, Philippe Preux
2020	—	`conf`	Geometric deep reinforcement learning for dynamic DAG scheduling. SSCI Nathan Grinsztajn, Olivier Beaumont, Emmanuel Jeannot, Philippe Preux
2020	J	`jnl`	Is Standard Deviation the New Standard? Revisiting the Critic in Deep Policy Gradients. CoRR Yannis Flet-Berliac, Reda Ouhamma, Odalric-Ambrym Maillard, Philippe Preux
2020	A*	`conf`	Only Relevant Information Matters: Filtering Out Noisy Samples To Boost RL. IJCAI Yannis Flet-Berliac, Philippe Preux
2019	J	`jnl`	"I'm sorry Dave, I'm afraid I can't do that" Deep Q-learning from forbidden action. CoRR Mathieu Seurin, Philippe Preux, Olivier Pietquin
2019	—	`conf`	Energy Management for Microgrids: a Reinforcement Learning Approach. ISGT Europe Tanguy Levent, Philippe Preux, Erwan Le Pennec, Jordi Badosa, Gonzague Henri, Yvan Bonnassieux
2019	J	`jnl`	High-Dimensional Control Using Generalized Auxiliary Tasks. CoRR Yannis Flet-Berliac, Philippe Preux
2019	J	`jnl`	Samples are not all useful: Denoising policy gradient updates using variance. CoRR Yannis Flet-Berliac, Philippe Preux
2018	J	`jnl`	A Large-Scale Study of Call Graph-based Impact Prediction using Mutation Testing. CoRR Vincenzo Musco, Martin Monperrus, Philippe Preux
2018	A*	`conf`	Correctness attraction: a study of stability of software behavior under runtime perturbation. ICSE Benjamin Danglot, Philippe Preux, Benoit Baudry, Martin Monperrus
2018	J	`jnl`	Correctness attraction: a study of stability of software behavior under runtime perturbation. Empir. Softw. Eng. Benjamin Danglot, Philippe Preux, Benoit Baudry, Martin Monperrus
2018	J	`jnl`	Recurrent Neural Networks for Long and Short-Term Sequential Recommendation. CoRR Kiewan Villatel, Elena Smirnova, Jérémie Mary, Philippe Preux
2018	—	`conf`	Visual Reasoning with Multi-hop Feature Modulation. ECCV (5) Florian Strub, Mathieu Seurin, Ethan Perez, Harm de Vries, Jérémie Mary, Philippe Preux, Aaron C. Courville, Olivier Pietquin
2018	J	`jnl`	Visual Reasoning with Multi-hop Feature Modulation. CoRR Florian Strub, Mathieu Seurin, Ethan Perez, Harm de Vries, Jérémie Mary, Philippe Preux, Aaron C. Courville, Olivier Pietquin
2017	—	`conf`	A Generative Model for Sparse, Evolving Digraphs. COMPLEX NETWORKS Georgios Papoudakis, Philippe Preux, Martin Monperrus
2017	A	`conf`	A Multi-Armed Bandit Model Selection for Cold-Start User Recommendation. UMAP Crícia Z. Felício, Klérisson V. R. Paixão, Célia A. Zorzo Barcelos, Philippe Preux
2017	J	`jnl`	A generative model for sparse, evolving digraphs. CoRR Georgios Papoudakis, Philippe Preux, Martin Monperrus
2017	J	`jnl`	A large-scale study of call graph-based impact prediction using mutation testing. Softw. Qual. J. Vincenzo Musco, Martin Monperrus, Philippe Preux
2016	—	`conf`	A learning algorithm for change impact prediction. RAISE@ICSE Vincenzo Musco, Antonin Carette, Martin Monperrus, Philippe Preux
2016	J	`jnl`	Consistent Algorithms for Clustering Time Series. J. Mach. Learn. Res. Azadeh Khaleghi, Daniil Ryabko, Jérémie Mary, Philippe Preux
2016	J	`jnl`	Correctness Attraction: A Study of Stability of Software Behavior Under Runtime Perturbation. CoRR Benjamin Danglot, Philippe Preux, Benoit Baudry, Martin Monperrus
2016	J	`jnl`	Exploiting Social Information in Pairwise Preference Recommender System. J. Inf. Data Manag. Crícia Z. Felício, Klérisson V. R. Paixão, Guilherme Alves, Sandra de Amo, Philippe Preux
2016	—	`conf`	Large-Scale Bandit Recommender System. MOD Frédéric Guillou, Romaric Gaudel, Philippe Preux
2016	C	`conf`	Mutation-Based Graph Inference for Fault Localization. SCAM Vincenzo Musco, Martin Monperrus, Philippe Preux
2016	J	`jnl`	Operator-valued Kernels for Learning from Functional Response Data. J. Mach. Learn. Res. Hachem Kadri, Emmanuel Duflos, Philippe Preux, Stéphane Canu, Alain Rakotomamonjy, Julien Audiffren
2016	B	`conf`	Preference-Like Score to Cope with Cold-Start User in Recommender Systems. ICTAI Crícia Z. Felício, Klérisson V. R. Paixão, Célia A. Z. Barcelos, Philippe Preux
2016	—	`conf`	Scalable Explore-Exploit Collaborative filtering. PACIS Frédéric Guillou, Romaric Gaudel, Philippe Preux
2016	—	`conf`	Sequential Collaborative Ranking Using (No-)Click Implicit Feedback. ICONIP (2) Frédéric Guillou, Romaric Gaudel, Philippe Preux
2015	J	`jnl`	A Learning Algorithm for Change Impact Prediction: Experimentation on 7 Java Applications. CoRR Vincenzo Musco, Antonin Carette, Martin Monperrus, Philippe Preux
2015	—	`conf`	An Experimental Protocol for Analyzing the Accuracy of Software Error Impact Analysis. AST@ICSE Vincenzo Musco, Martin Monperrus, Philippe Preux
2015	—	`conf`	Bandits and Recommender Systems. MOD Jérémie Mary, Romaric Gaudel, Philippe Preux
2015	J	`jnl`	Operator-valued Kernels for Learning from Functional Response Data. CoRR Hachem Kadri, Emmanuel Duflos, Philippe Preux, Stéphane Canu, Alain Rakotomamonjy, Julien Audiffren
2015	B	`conf`	Simultaneous optimistic optimization on the noiseless BBOB testbed. CEC Bilel Derbel, Philippe Preux
2014	J	`jnl`	A Generative Model of Software Dependency Graphs to Better Understand Software Evolution. CoRR Vincenzo Musco, Martin Monperrus, Philippe Preux
2014	J	`jnl`	Bandits Warm-up Cold Recommender Systems. CoRR Jérémie Mary, Romaric Gaudel, Philippe Preux
2014	B	`conf`	Bandits attack function optimization. IEEE Congress on Evolutionary Computation Philippe Preux, Rémi Munos, Michal Valko
2014	J	`jnl`	Cold-start Problems in Recommendation Systems via Contextual-bandit Algorithms. CoRR Hai Thanh Nguyen, Jérémie Mary, Philippe Preux
2014	—	`conf`	De l'ombre à la lumière : plus de visibilité sur l'Eclipse. EGC Boris Baldassari, Flavien Huynh, Philippe Preux
2014	A*	`conf`	Improving offline evaluation of contextual bandit algorithms via bootstrapping techniques. ICML Jérémie Mary, Philippe Preux, Olivier Nicol
2014	J	`jnl`	Improving offline evaluation of contextual bandit algorithms via bootstrapping techniques. CoRR Olivier Nicol, Jérémie Mary, Philippe Preux
2014	A	`conf`	Understanding software evolution: the maisqual ant data set. MSR Boris Baldassari, Philippe Preux
2013	—	`conf`	A Generalized Kernel Approach to Structured Output Learning. ICML (1) Hachem Kadri, Mohammad Ghavamzadeh, Philippe Preux
2013	J	`jnl`	Functional Regularized Least Squares Classi cation with Operator-valued Kernels CoRR Hachem Kadri, Asma Rabaoui, Philippe Preux, Emmanuel Duflos, Alain Rakotomamonjy
2013	J	`jnl`	Multiple functional regression with both discrete and continuous covariates CoRR Hachem Kadri, Philippe Preux, Emmanuel Duflos, Stéphane Canu
2012	J	`jnl`	A Generalized Kernel Approach to Structured Output Learning CoRR Hachem Kadri, Mohammad Ghavamzadeh, Philippe Preux
2012	—	`conf`	Fast Reinforcement Learning with Large Action Sets Using Error-Correcting Output Codes for MDP Factorization. ECML/PKDD (2) Gabriel Dulac-Arnold, Ludovic Denoyer, Philippe Preux, Patrick Gallinari
2012	J	`jnl`	Fast Reinforcement Learning with Large Action Sets using Error-Correcting Output Codes for MDP Factorization CoRR Gabriel Dulac-Arnold, Ludovic Denoyer, Philippe Preux, Patrick Gallinari
2012	—	`conf`	ICML Exploration & Exploitation Challenge: Keep it simple! ICML On-line Trading of Exploration and Exploitation Olivier Nicol, Jérémie Mary, Philippe Preux
2012	J	`jnl`	Managing advertising campaigns - an approximate planning approach. Frontiers Comput. Sci. Sertan Girgin, Jérémie Mary, Philippe Preux, Olivier Nicol
2012	J	`jnl`	Multiple Operator-valued Kernel Learning CoRR Hachem Kadri, Alain Rakotomamonjy, Francis R. Bach, Philippe Preux
2012	—	`conf`	Multiple Operator-valued Kernel Learning. NIPS Hachem Kadri, Alain Rakotomamonjy, Francis R. Bach, Philippe Preux
2012	A	`conf`	Online Clustering of Processes. AISTATS Azadeh Khaleghi, Daniil Ryabko, Jérémie Mary, Philippe Preux
2012	J	`jnl`	Sequential approaches for learning datum-wise sparse representations. Mach. Learn. Gabriel Dulac-Arnold, Ludovic Denoyer, Philippe Preux, Patrick Gallinari
2011	J	`jnl`	Datum-Wise Classification: A Sequential Approach to Sparsity CoRR Gabriel Dulac-Arnold, Ludovic Denoyer, Philippe Preux, Patrick Gallinari
2011	—	`conf`	Datum-Wise Classification: A Sequential Approach to Sparsity. ECML/PKDD (1) Gabriel Dulac-Arnold, Ludovic Denoyer, Philippe Preux, Patrick Gallinari
2011	A*	`conf`	Functional Regularized Least Squares Classication with Operator-valued Kernels. ICML Hachem Kadri, Asma Rabaoui, Philippe Preux, Emmanuel Duflos, Alain Rakotomamonjy
2011	Misc	`conf`	Learning vocal tract variables with multi-task kernels. ICASSP Hachem Kadri, Emmanuel Duflos, Philippe Preux
2010	A*	`conf`	Advertising Campaigns Management: Should We Be Greedy? ICDM Sertan Girgin, Jérémie Mary, Philippe Preux, Olivier Nicol
2010	—	`conf`	Affichage de publicités sur des portails web. EGC Victor Gabillon, Jérémie Mary, Philippe Preux
2010	A	`conf`	Nonlinear functional regression: a functional RKHS approach. AISTATS Hachem Kadri, Emmanuel Duflos, Philippe Preux, Stéphane Canu, Manuel Davy
2010	—	`conf`	The Iso-regularization Descent Algorithm for the LASSO. ICONIP (1) Manuel Loth, Philippe Preux
2009	C	`conf`	ECON: A Kernel Basis Pursuit Algorithm with Automatic Feature Parameter Tuning, and its Application to Photometric Solids Approximation. ICMLA Manuel Loth, Philippe Preux, Samuel Delepoulle, Christophe Renaud
2009	—	`conf`	Feature discovery in approximate dynamic programming. ADPRL Philippe Preux, Sertan Girgin, Manuel Loth
2008	—	`conf`	Basis Expansion in Natural Actor Critic Methods. EWRL Sertan Girgin, Philippe Preux
2008	C	`conf`	Basis Function Construction in Reinforcement Learning Using Cascade-Correlation Learning Architecture. ICMLA Sertan Girgin, Philippe Preux
2008	B	`conf`	Feature Discovery in Reinforcement Learning Using Genetic Programming. EuroGP Sertan Girgin, Philippe Preux
2008	—	`ed.`	Recent Advances in Reinforcement Learning, 8th European Workshop, EWRL 2008, Villeneuve d'Ascq, France, June 30 - July 3, 2008, Revised and Selected Papers EWRL Sertan Girgin, Manuel Loth, Rémi Munos, Philippe Preux, Daniil Ryabko
2007	B	`conf`	A unified view of TD algorithms, introducing Full-gradient TD and Equi-gradient descent TD. ESANN Manuel Loth, Philippe Preux, Manuel Davy
2006	J	`jnl`	A Unified View of TD Algorithms; Introducing Full-Gradient TD and Equi-Gradient Descent TD CoRR Manuel Loth, Philippe Preux
2004	J	`jnl`	A generic architecture for adaptive agents based on reinforcement learning. Inf. Sci. Philippe Preux, Samuel Delepoulle, Jean-Claude Darcheville
2003	J	`jnl`	"Virtual laboratory environment" (VLE): a software environment oriented agent and object for modeling and simulation of complex systems. Simul. Model. Pract. Theory Éric Ramat, Philippe Preux
2002	—	`conf`	Propagation of Q-values in Tabular TD(lambda). ECML Philippe Preux
2001	—	`conf`	Learning as a Consequence of Selection. Artificial Evolution Samuel Delepoulle, Philippe Preux, Jean-Claude Darcheville
2001	—	`conf`	Selection of Behavior in Social Situations. EvoWorkshops Samuel Delepoulle, Philippe Preux, Jean-Claude Darcheville
2000	—	`conf`	Virtual Laboratory Environment (VLE) : un environnement multi-agents pour la modélisation et la simulation d'écosystèmes (démonstration). JFIADSMA Éric Ramat, Philippe Preux
1999	—	`conf`	Evolution of Cooperation within a Behavior-Based Perspective: Confronting Nature and Animats. Artificial Evolution Samuel Delepoulle, Philippe Preux, Jean-Claude Darcheville
1998	A	`conf`	A Bit-Wise Epistasis Measure for Binary Search Spaces. PPSN Cyril Fonlupt, Denis Robilliard, Philippe Preux
1998	B	`conf`	The fitness function and its impact on local search methods. SMC David Duvivier, Philippe Preux, Cyril Fonlupt, Denis Robilliard, El-Ghazali Talbi
1996	A	`conf`	Climbing Up NP-Hard Hills. PPSN David Duvivier, Philippe Preux, El-Ghazali Talbi
1992	A*	`conf`	Performance improvement for vector pipeline multiprocessor systems using a disordered execution model. ISCA M. Tahar Kechadi, Jean-Luc Dekeyser, Philippe Marquet, Philippe Preux
1990	J	`jnl`	EVA: an explicit vector language. ACM SIGPLAN Notices Jean-Luc Dekeyser, Philippe Marquet, Philippe Preux
1990	J	`jnl`	Vector addressing processor for direct and indirect accesses. Microprocessing and Microprogramming Jean-Luc Dekeyser, Philippe Marquet, Philippe Preux