| Explainability in deep reinforcement learning A Heuillet, F Couthouis, N Díaz-Rodríguez Knowledge-Based Systems 214, 106685, 2021 | 292 | 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 | 40 | 2022 |
| D-DARTS: Distributed differentiable architecture search A Heuillet, H Tabia, H Arioui, K Youcef-Toumi Pattern Recognition Letters 176, 42-48, 2023 | 9 | 2023 |
| Efficient Automation of Neural Network Design: A Survey on Differentiable Neural Architecture Search A Heuillet, A Nasser, H Arioui, H Tabia arXiv preprint arXiv:2304.05405, 2023 | 5 | 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 |
| 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 |
Natalia Díaz-Rodríguez, PhD (ORCID:...Professor, University of Granada, Spain, DaSCI Andalusian Institute on Data Science (RoR:04njjy449)Verified email at ugr.es
