Nicolas Michel

According to our database, Nicolas Michel authored at least 12 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Dealing with Synthetic Data Contamination in Online Continual Learning.

Maorong Wang, Nicolas Michel, Jiafeng Mao, Toshihiko Yamasaki

CoRR, 2024

Energy-Optimal Planning of Waypoint-Based UAV Missions - Does Minimum Distance Mean Minimum Energy?

Nicolas Michel, Ayush Patnaik, Zhaodan Kong, Xinfan Lin

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

Rethinking Momentum Knowledge Distillation in Online Continual Learning.

Nicolas Michel, Maorong Wang, Ling Xiao, Toshihiko Yamasaki

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Improving Plasticity in Online Continual Learning via Collaborative Learning.

Maorong Wang, Nicolas Michel, Ling Xiao, Toshihiko Yamasaki

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Learning Representations on the Unit Sphere: Investigating Angular Gaussian and Von Mises-Fisher Distributions for Online Continual Learning.

Nicolas Michel, Giovanni Chierchia, Romain Negrel, Jean-François Bercher

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Domain-Aware Augmentations for Unsupervised Online General Continual Learning.

Nicolas Michel, Romain Negrel, Giovanni Chierchia, Jean-François Bercher

CoRR, 2023

New metrics for analyzing continual learners.

Nicolas Michel, Giovanni Chierchia, Romain Negrel, Jean-François Bercher, Toshihiko Yamasaki

CoRR, 2023

Learning Representations on the Unit Sphere: Application to Online Continual Learning.

Nicolas Michel, Giovanni Chierchia, Romain Negrel, Jean-François Bercher

CoRR, 2023

Domain-Aware Augmentations for Unsupervised Online General Continual Learning.

Nicolas Michel

Proceedings of the 34th British Machine Vision Conference 2023, 2023

2022

Contrastive Learning for Online Semi-Supervised General Continual Learning.

Nicolas Michel, Romain Negrel, Giovanni Chierchia, Jean-François Bercher

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Energy-Efficient UAV Trajectory Generation Based on System-Level Modeling of Multi-Physical Dynamics.

Nicolas Michel, Zhaodan Kong, Xinfan Lin

Proceedings of the American Control Conference, 2022

2020

Toward scalable many-body calculations for nuclear open quantum systems using the Gamow Shell Model.

Nicolas Michel, Hasan Metin Aktulga, Y. Jaganathen

Comput. Phys. Commun., 2020