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ORCIDNicolas Michel
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2020 – today
- 2024
[c7]Nicolas Michel, Giovanni Chierchia, Romain Negrel, Jean-François Bercher:
Learning Representations on the Unit Sphere: Investigating Angular Gaussian and Von Mises-Fisher Distributions for Online Continual Learning. AAAI 2024: 14350-14358- [c6]Maorong Wang, Nicolas Michel, Ling Xiao, Toshihiko Yamasaki:
Improving Plasticity in Online Continual Learning via Collaborative Learning. CVPR 2024: 23460-23469 - [c5]Nicolas Michel, Maorong Wang, Ling Xiao, Toshihiko Yamasaki:
Rethinking Momentum Knowledge Distillation in Online Continual Learning. ICML 2024 - [c4]Nicolas Michel, Ayush Patnaik, Zhaodan Kong, Xinfan Lin:
Energy-Optimal Planning of Waypoint-Based UAV Missions - Does Minimum Distance Mean Minimum Energy? IROS 2024: 10362-10369 - [i8]Nicolas Michel, Ayush Patnaik, Zhaodan Kong, Xinfan Lin:
Energy-Optimal Planning of Waypoint-Based UAV Missions - Does Minimum Distance Mean Minimum Energy? CoRR abs/2410.17585 (2024) - [i7]Maorong Wang, Nicolas Michel, Jiafeng Mao, Toshihiko Yamasaki:
Dealing with Synthetic Data Contamination in Online Continual Learning. CoRR abs/2411.13852 (2024) - 2023
- [c3]Nicolas Michel:
Domain-Aware Augmentations for Unsupervised Online General Continual Learning. BMVC 2023: 452-459 - [i6]Nicolas Michel, Giovanni Chierchia, Romain Negrel, Jean-François Bercher:
Learning Representations on the Unit Sphere: Application to Online Continual Learning. CoRR abs/2306.03364 (2023) - [i5]Nicolas Michel, Giovanni Chierchia, Romain Negrel, Jean-François Bercher, Toshihiko Yamasaki:
New metrics for analyzing continual learners. CoRR abs/2309.00462 (2023) - [i4]Nicolas Michel, Maorong Wang, Ling Xiao, Toshihiko Yamasaki:
Rethinking Momentum Knowledge Distillation in Online Continual Learning. CoRR abs/2309.02870 (2023) - [i3]Nicolas Michel, Romain Negrel, Giovanni Chierchia, Jean-François Bercher:
Domain-Aware Augmentations for Unsupervised Online General Continual Learning. CoRR abs/2309.06896 (2023) - [i2]Maorong Wang, Nicolas Michel, Ling Xiao, Toshihiko Yamasaki:
Improving Plasticity in Online Continual Learning via Collaborative Learning. CoRR abs/2312.00600 (2023) - 2022
- [c2]Nicolas Michel, Zhaodan Kong, Xinfan Lin:
Energy-Efficient UAV Trajectory Generation Based on System-Level Modeling of Multi-Physical Dynamics. ACC 2022: 4119-4126 - [c1]Nicolas Michel, Romain Negrel, Giovanni Chierchia, Jean-François Bercher
:
Contrastive Learning for Online Semi-Supervised General Continual Learning. ICIP 2022: 1896-1900 - [i1]Nicolas Michel, Romain Negrel, Giovanni Chierchia, Jean-François Bercher:
Contrastive Learning for Online Semi-Supervised General Continual Learning. CoRR abs/2207.05615 (2022) - 2020
- [j1]Nicolas Michel, Hasan Metin Aktulga, Y. Jaganathen:
Toward scalable many-body calculations for nuclear open quantum systems using the Gamow Shell Model. Comput. Phys. Commun. 247 (2020)
Coauthor Index
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