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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
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
3992020
State representation learning for control: An overview
T Lesort, N Díaz-Rodríguez, JF Goudou, D Filliat
Neural Networks 108, 379-392, 2018
3322018
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
1592019
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
612019
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
592019
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
54*2019
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
492021
Regularization shortcomings for continual learning
T Lesort, A Stoian, D Filliat
arXiv preprint arXiv:1912.03049, 2019
382019
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
382019
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
372019
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
37*2018
Foundational Models for Continual Learning: An Empirical Study of Latent Replay
O Ostapenko, T Lesort, P Rodríguez, MR Arefin, A Douillard, I Rish, ...
CoLLas 2022, Oral, 2022
31*2022
Continuum: Simple management of complex continual learning scenarios
A Douillard, T Lesort
arXiv preprint arXiv:2102.06253, 2021
31*2021
Continual reinforcement learning deployed in real-life using policy distillation and sim2real transfer
R Traoré, H Caselles-Dupré, T Lesort, T Sun, N Díaz-Rodríguez, D Filliat
arXiv preprint arXiv:1906.04452, 2019
312019
Continual learning: Tackling catastrophic forgetting in deep neural networks with replay processes
T Lesort
arXiv preprint arXiv:2007.00487, 2020
27*2020
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
19*2021
Training Discriminative Models to Evaluate Generative Ones
T Lesort, JF Goudou, D Filliat
International Conference on Artificial Neural Networks, 604--619, 2018
19*2018
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
172021
Continual Pre-Training of Large Language Models: How to (re) warm your model?
K Gupta, B Thérien, A Ibrahim, ML Richter, Q Anthony, E Belilovsky, I Rish, ...
162023
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
16*2019
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Articles 1–20