2025
T-JEPA: Augmentation-Free Self-Supervised Learning for Tabular Data.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
2024
Making Parametric Anomaly Detection on Tabular Data Non-Parametric Again.
CoRR, 2024
Beyond Individual Input for Deep Anomaly Detection on Tabular Data.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Retrieval Augmented Deep Anomaly Detection for Tabular Data.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
2023
On the Parameterized Complexity of Counting Small-Sized Minimum \(\boldsymbol{(S,T)}\)-Cuts.
SIAM J. Discret. Math., June, 2023
Comparative Evaluation of Anomaly Detection Methods for Fraud Detection in Online Credit Card Payments.
CoRR, 2023
Benchmarking Robustness of Deep Reinforcement Learning approaches to Online Portfolio Management.
Proceedings of the International Conference on Innovations in Intelligent Systems and Applications, 2023
2022
TracInAD: Measuring Influence for Anomaly Detection.
Proceedings of the International Joint Conference on Neural Networks, 2022
2020
Micro-Doppler Signal Representation for Drone Classification by Deep Learning.
Proceedings of the 28th European Signal Processing Conference, 2020
2019
On the parameterized complexity of separating certain sources from the target.
Theor. Comput. Sci., 2019
Multiple Canadians on the road: minimizing the distance competitive ratio.
J. Comb. Optim., 2019
Fixed-Parameter Tractability of Counting Small Minimum (S, T)-Cuts.
Proceedings of the Graph-Theoretic Concepts in Computer Science, 2019
2018
Completion of partial Latin Hypercube Designs: NP-completeness and inapproximability.
Theor. Comput. Sci., 2018
A lower bound for weak Schur numbers with a deterministic algorithm.
J. Discrete Algorithms, 2018
The First Approximation Algorithm for the Maximin Latin Hypercube Design Problem.
Oper. Res., 2018
The Competitiveness of Randomized Strategies for Canadians via Systems of Linear Inequalities.
Proceedings of the Computer and Information Sciences - 32nd International Symposium, 2018
Bandits Help Simulated Annealing to Complete a Maximin Latin Hypercube Design.
Proceedings of the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, 2018
On the Competitiveness of Memoryless Strategies for the k-Canadian Traveller Problem.
Proceedings of the Combinatorial Optimization and Applications, 2018
2016
On Simulated Annealing Dedicated to Maximin Latin Hypercube Designs.
CoRR, 2016
Search Space Exploration and an Optimization Criterion for Hard Design Problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016
Restricting the search space to boost Quantum Annealing performance.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
2014
A Survey of Meta-heuristics Used for Computing Maximin Latin Hypercube.
Proceedings of the Evolutionary Computation in Combinatorial Optimisation, 2014
2011
Optimization of the Nested Monte-Carlo Algorithm on the Traveling Salesman Problem with Time Windows.
Proceedings of the Applications of Evolutionary Computation, 2011
2010
Current Frontiers in Computer Go.
IEEE Trans. Comput. Intell. AI Games, 2010
Intelligent Agents for the Game of Go.
IEEE Comput. Intell. Mag., 2010
Multiple Overlapping Tiles for Contextual Monte Carlo Tree Search.
Proceedings of the Applications of Evolutionary Computation, 2010
Biasing Monte-Carlo Simulations through RAVE Values.
Proceedings of the Computers and Games - 7th International Conference, 2010
Scalability and Parallelization of Monte-Carlo Tree Search.
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Proceedings of the Computers and Games - 7th International Conference, 2010
2009
The Computational Intelligence of MoGo Revealed in Taiwan's Computer Go Tournaments.
IEEE Trans. Comput. Intell. AI Games, 2009
Combiner connaissances expertes, hors-ligne, transientes et en ligne pour l'exploration Monte-Carlo. Apprentissage et MC.
Rev. d'Intelligence Artif., 2009
Bandit-based optimization on graphs with application to library performance tuning.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009
A novel ontology for computer go knowledge management.
Proceedings of the FUZZ-IEEE 2009, 2009
Grid Coevolution for Adaptive Simulations: Application to the Building of Opening Books in the Game of Go.
Proceedings of the Applications of Evolutionary Computing, 2009
Adding Expert Knowledge and Exploration in Monte-Carlo Tree Search.
Proceedings of the Advances in Computer Games, 12th International Conference, 2009
2008
The Parallelization of Monte-Carlo Planning - Parallelization of MC-Planning.
Proceedings of the ICINCO 2008, 2008