Arpad Rimmel

40 papers A* 3A 1B 6C 2Journal 18Unranked 10
YearRankTypeTitle / Venue / Authors
2025 A* conf
T-JEPA: Augmentation-Free Self-Supervised Learning for Tabular Data.
ICLR
Hugo Thimonier, José Lucas De Melo Costa, Fabrice Popineau, Arpad Rimmel, Bich-Liên Doan
2024 A* conf
Beyond Individual Input for Deep Anomaly Detection on Tabular Data.
ICML
Hugo Thimonier, Fabrice Popineau, Arpad Rimmel, Bich-Liên Doan
2024 J jnl
Making Parametric Anomaly Detection on Tabular Data Non-Parametric Again.
CoRR
Hugo Thimonier, Fabrice Popineau, Arpad Rimmel, Bich-Liên Doan
2024 A conf
Retrieval Augmented Deep Anomaly Detection for Tabular Data.
CIKM
Hugo Thimonier, Fabrice Popineau, Arpad Rimmel, Bich-Liên Doan
2024 J jnl
T-JEPA: Augmentation-Free Self-Supervised Learning for Tabular Data.
CoRR
Hugo Thimonier, José Lucas De Melo Costa, Fabrice Popineau, Arpad Rimmel, Bich-Liên Doan
2023 C conf
Benchmarking Robustness of Deep Reinforcement Learning approaches to Online Portfolio Management.
INISTA
Marc Velay, Bich-Liên Doan, Arpad Rimmel, Fabrice Popineau, Fabrice Daniel
2023 J jnl
Benchmarking Robustness of Deep Reinforcement Learning approaches to Online Portfolio Management.
CoRR
Marc Velay, Bich-Liên Doan, Arpad Rimmel, Fabrice Popineau, Fabrice Daniel
2023 J jnl
Beyond Individual Input for Deep Anomaly Detection on Tabular Data.
CoRR
Hugo Thimonier, Fabrice Popineau, Arpad Rimmel, Bich-Liên Doan
2023 J jnl
Comparative Evaluation of Anomaly Detection Methods for Fraud Detection in Online Credit Card Payments.
CoRR
Hugo Thimonier, Fabrice Popineau, Arpad Rimmel, Bich-Liên Doan, Fabrice Daniel
2023 J jnl
On the Parameterized Complexity of Counting Small-Sized Minimum \(\boldsymbol{(S,T)}\)-Cuts.
SIAM J. Discret. Math.
Pierre Bergé, Wassim Bouaziz, Arpad Rimmel, Joanna Tomasik
2022 B conf
TracInAD: Measuring Influence for Anomaly Detection.
IJCNN
Hugo Thimonier, Fabrice Popineau, Arpad Rimmel, Bich-Liên Doan, Fabrice Daniel
2022 J jnl
TracInAD: Measuring Influence for Anomaly Detection.
CoRR
Hugo Thimonier, Fabrice Popineau, Arpad Rimmel, Bich-Liên Doan, Fabrice Daniel
2020 — conf
Micro-Doppler Signal Representation for Drone Classification by Deep Learning.
EUSIPCO
Julien Gérard, Joanna Tomasik, Christèle Morisseau, Arpad Rimmel, Gilles Vieillard
2019 B conf
Fixed-Parameter Tractability of Counting Small Minimum (S, T)-Cuts.
WG
Pierre Bergé, Benjamin Mouscadet, Arpad Rimmel, Joanna Tomasik
2019 J jnl
Fixed-parameter tractability of counting small minimum (S, T)-cuts.
CoRR
Pierre Bergé, Benjamin Mouscadet, Arpad Rimmel, Joanna Tomasik
2019 J jnl
Multiple Canadians on the road: minimizing the distance competitive ratio.
J. Comb. Optim.
Pierre Bergé, Jean Desmarchelier, Wen Guo, Aurélie Lefebvre, Arpad Rimmel, Joanna Tomasik
2019 J jnl
On the parameterized complexity of separating certain sources from the target.
Theor. Comput. Sci.
Pierre Bergé, Arpad Rimmel, Joanna Tomasik
2018 J jnl
A lower bound for weak Schur numbers with a deterministic algorithm.
J. Discrete Algorithms
Ghada Ben Hassine, Pierre Bergé, Arpad Rimmel, Joanna Tomasik
2018 B conf
Bandits Help Simulated Annealing to Complete a Maximin Latin Hypercube Design.
CPAIOR
Christian Hamelain, Kaourintin Le Guiban, Arpad Rimmel, Joanna Tomasik
2018 J jnl
Completion of partial Latin Hypercube Designs: NP-completeness and inapproximability.
Theor. Comput. Sci.
Kaourintin Le Guiban, Arpad Rimmel, Marc-Antoine Weisser, Joanna Tomasik
2018 C conf
On the Competitiveness of Memoryless Strategies for the k-Canadian Traveller Problem.
COCOA
Pierre Bergé, Julien Hemery, Arpad Rimmel, Joanna Tomasik
2018 — conf
The Competitiveness of Randomized Strategies for Canadians via Systems of Linear Inequalities.
ISCIS
Pierre Bergé, Julien Hemery, Arpad Rimmel, Joanna Tomasik
2018 J jnl
The First Approximation Algorithm for the Maximin Latin Hypercube Design Problem.
Oper. Res.
Kaourintin Le Guiban, Arpad Rimmel, Marc-Antoine Weisser, Joanna Tomasik
2016 J jnl
On Simulated Annealing Dedicated to Maximin Latin Hypercube Designs.
CoRR
Pierre Bergé, Kaourintin Le Guiban, Arpad Rimmel, Joanna Tomasik
2016 B conf
Restricting the search space to boost Quantum Annealing performance.
CEC
Pierre Bergé, Baptiste Cavarec, Arpad Rimmel, Joanna Tomasik
2016 — conf
Search Space Exploration and an Optimization Criterion for Hard Design Problems.
GECCO (Companion)
Pierre Bergé, Kaourintin Le Guiban, Arpad Rimmel, Joanna Tomasik
2014 B conf
A Survey of Meta-heuristics Used for Computing Maximin Latin Hypercube.
EvoCOP
Arpad Rimmel, Fabien Teytaud
2011 — conf
Optimization of the Nested Monte-Carlo Algorithm on the Traveling Salesman Problem with Time Windows.
EvoApplications (2)
Arpad Rimmel, Fabien Teytaud, Tristan Cazenave
2010 — conf
Biasing Monte-Carlo Simulations through RAVE Values.
Computers and Games
Arpad Rimmel, Fabien Teytaud, Olivier Teytaud
2010 J jnl
Current Frontiers in Computer Go.
IEEE Trans. Comput. Intell. AI Games
Arpad Rimmel, Olivier Teytaud, Chang-Shing Lee, Shi-Jim Yen, Mei-Hui Wang, Shang-Rong Tsai
2010 J jnl
Intelligent Agents for the Game of Go.
IEEE Comput. Intell. Mag.
Jean-Baptiste Hoock, Chang-Shing Lee, Arpad Rimmel, Fabien Teytaud, Mei-Hui Wang, Olivier Teytaud
2010 — conf
Multiple Overlapping Tiles for Contextual Monte Carlo Tree Search.
EvoApplications (1)
Arpad Rimmel, Fabien Teytaud
2010 — conf
Scalability and Parallelization of Monte-Carlo Tree Search.
Computers and Games
Amine Bourki, Guillaume Chaslot, Matthieu Coulm, Vincent Danjean, Hassen Doghmen, Jean-Baptiste Hoock, Thomas Hérault, Arpad Rimmel, Fabien Teytaud, Olivier Teytaud, Paul Vayssière, Ziqin Yut
2009 B conf
A novel ontology for computer go knowledge management.
FUZZ-IEEE
Chang-Shing Lee, Mei-Hui Wang, Tzung-Pei Hong, Guillaume Chaslot, Jean-Baptiste Hoock, Arpad Rimmel, Olivier Teytaud, Yau-Hwang Kuo
2009 — conf
Adding Expert Knowledge and Exploration in Monte-Carlo Tree Search.
ACG
Guillaume Chaslot, Christophe Fiter, Jean-Baptiste Hoock, Arpad Rimmel, Olivier Teytaud
2009 A* conf
Bandit-based optimization on graphs with application to library performance tuning.
ICML
Frédéric de Mesmay, Arpad Rimmel, Yevgen Voronenko, Markus Püschel
2009 J jnl
Combiner connaissances expertes, hors-ligne, transientes et en ligne pour l'exploration Monte-Carlo. Apprentissage et MC.
Rev. d'Intelligence Artif.
Guillaume Chaslot, L. Chatriot, Christophe Fiter, Sylvain Gelly, Jean-Baptiste Hoock, Julien Perez, Arpad Rimmel, Olivier Teytaud
2009 — conf
Grid Coevolution for Adaptive Simulations: Application to the Building of Opening Books in the Game of Go.
EvoWorkshops
Pierre Audouard, Guillaume Chaslot, Jean-Baptiste Hoock, Julien Perez, Arpad Rimmel, Olivier Teytaud
2009 J jnl
The Computational Intelligence of MoGo Revealed in Taiwan's Computer Go Tournaments.
IEEE Trans. Comput. Intell. AI Games
Chang-Shing Lee, Mei-Hui Wang, Guillaume Chaslot, Jean-Baptiste Hoock, Arpad Rimmel, Olivier Teytaud, Shang-Rong Tsai, Shun-Chin Hsu, Tzung-Pei Hong
2008 — conf
The Parallelization of Monte-Carlo Planning - Parallelization of MC-Planning.
ICINCO-ICSO
Sylvain Gelly, Jean-Baptiste Hoock, Arpad Rimmel, Olivier Teytaud, Y. Kalemkarian