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Timothee LESORT
Timothee LESORT
Mila - Quebec AI Institute
Verified email at ensta-paris.fr - Homepage
Title
Cited by
Cited by
Year
State representation learning for control: An overview
T Lesort, N Díaz-Rodríguez, JF Goudou, D Filliat
Neural Networks 108, 379-392, 2018
2262018
Continual learning for robotics: Definition, framework, learning strategies, opportunities and challenges
T Lesort, V Lomonaco, A Stoian, D Maltoni, D Filliat, N Díaz-Rodríguez
Information Fusion 58, 52-68, 2020
1772020
Generative models from the perspective of continual learning
T Lesort, H Caselles-Dupré, M Garcia-Ortiz, A Stoian, D Filliat
2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019
1052019
Deep unsupervised state representation learning with robotic priors: a robustness analysis
T Lesort, M Seurin, X Li, N Díaz-Rodríguez, D Filliat
2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019
45*2019
Decoupling feature extraction from policy learning: assessing benefits of state representation learning in goal based robotics
A Raffin, A Hill, KR Traoré, T Lesort, N Díaz-Rodríguez, D Filliat
International Conference on Learning Representations (ICLR) 2019, Structure …, 2019
412019
DisCoRL: Continual Reinforcement Learning via Policy Distillation
R Traoré, H Caselles-Dupré, T Lesort, T Sun, G Cai, N Díaz-Rodríguez, ...
International Conference on Neural Information Processing Systems (NeurIPS …, 2019
39*2019
Continual learning for robotics
T Lesort, V Lomonaco, A Stoian, D Maltoni, D Filliat, N Dıaz-Rodrıguez
arXiv preprint arXiv:1907.00182, 1-34, 2019
262019
S-RL Toolbox: Environments, Datasets and Evaluation Metrics for State Representation Learning
DF Antonin Raffin, Ashley Hill, René Traoré, Timothée Lesort, Natalia Díaz ...
International Conference on Neural Information Processing Systems (NeurIPS …, 2018
26*2018
Marginal replay vs conditional replay for continual learning
T Lesort, A Gepperth, A Stoian, D Filliat
International Conference on Artificial Neural Networks, 466-480, 2019
252019
Regularization shortcomings for continual learning
T Lesort, A Stoian, D Filliat
arXiv preprint arXiv:1912.03049, 2019
222019
Training Discriminative Models to Evaluate Generative Ones
T Lesort, JF Goudou, D Filliat
International Conference on Artificial Neural Networks, 604--619, 2018
16*2018
Understanding Continual Learning Settings with Data Distribution Drift Analysis
T Lesort, M Caccia, I Rish
International Conference of Machine Learning 2021 (ICML) Workshop on Theory …, 2021
142021
Continual reinforcement learning deployed in real-life using policy distillation and sim2real transfer
RT Kalifou, H Caselles-Dupré, T Lesort, T Sun, N Diaz-Rodriguez, D Filliat
ICML Workshop on Multi-Task and Lifelong Learning 4, 2019
112019
Continual learning: Tackling catastrophic forgetting in deep neural networks with replay processes
T Lesort
arXiv preprint arXiv:2007.00487, 2020
82020
Exploring to learn visual saliency: The RL-IAC approach
C Craye, T Lesort, D Filliat, JF Goudou
Robotics and Autonomous Systems 112, 244-259, 2019
82019
Continuum: Simple management of complex continual learning scenarios
A Douillard, T Lesort
arXiv preprint arXiv:2102.06253, 2021
72021
Continual Learning in Deep Networks: an Analysis of the Last Layer
T Lesort, T George, I Rish
International Conference of Machine Learning 2021 (ICML) Workshop on Theory …, 2021
62021
Sequoia: A Software Framework to Unify Continual Learning Research
F Normandin, F Golemo, O Ostapenko, P Rodriguez, MD Riemer, ...
arXiv preprint arXiv:2108.01005, 2021
52021
Foundational Models for Continual Learning: An Empirical Study of Latent Replay
O Ostapenko, T Lesort, P Rodríguez, MR Arefin, A Douillard, I Rish, ...
arXiv preprint arXiv:2205.00329, 2022
32022
Continual Feature Selection: Spurious Features in Continual Learning
T Lesort
arXiv preprint arXiv:2203.01012, 2022
12022
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