Explainability in deep reinforcement learning A Heuillet, F Couthouis, N Díaz-Rodríguez Knowledge-Based Systems 214, 106685, 2021 | 409 | 2021 |
Collective eXplainable AI: Explaining Cooperative Strategies and Agent Contribution in Multiagent Reinforcement Learning With Shapley Values A Heuillet, F Couthouis, N Díaz-Rodríguez IEEE Computational Intelligence Magazine 17 (1), 59-71, 2022 | 73 | 2022 |
Efficient automation of neural network design: A survey on differentiable neural architecture search A Heuillet, A Nasser, H Arioui, H Tabia ACM Computing Surveys, 2023 | 15 | 2023 |
D-DARTS: Distributed differentiable architecture search A Heuillet, H Tabia, H Arioui, K Youcef-Toumi Pattern Recognition Letters 176, 42-48, 2023 | 12 | 2023 |
NASiam: Efficient Representation Learning using Neural Architecture Search for Siamese Networks A Heuillet, H Tabia, H Arioui Procedia Computer Science 222, 58-70, 2023 | 4 | 2023 |
Automated Siamese Network Design for Image Similarity Computation A Heuillet, H Tabia, H Arioui Proceedings of the 20th International Conference on Content-based Multimedia …, 2023 | 1 | 2023 |
DARIO: Differentiable vision transformer pruning with low-cost proxies H Sun, A Heuillet, F Mohr, H Tabia IEEE Journal of Selected Topics in Signal Processing, 2024 | | 2024 |
Exploring Deep Neural Network Differentiable Architecture Design A Heuillet Université Paris-Saclay, 2023 | | 2023 |
Exploring Differentiable Neural Architecture Search for Deep Neural Network Design A Heuillet Université Paris-Saclay, 2023 | | 2023 |