Nicolas Michel

According to our database, Nicolas Michel authored at least 17 papers between 2020 and 2025.

Collaborative distances:

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

2025

Online Prototypes and Class-Wise Hypergradients for Online Continual Learning with Pre-Trained Models.

Nicolas Michel, Maorong Wang, Jiangpeng He, Toshihiko Yamasaki

CoRR, February, 2025

Enhancing Multirotor Drone Efficiency: Exploring Minimum Energy Consumption Rate of Forward Flight under Varying Payload.

Ayush Patnaik, Nicolas Michel, Xinfan Lin

CoRR, January, 2025

2024

Online Continuous Image Classification with Memory-based Methods : Application to YouTube data. (Classification continue d'images en ligne avec des méthodes basées mémoire : application aux données YouTube).

Nicolas Michel

PhD thesis, 2024

ammBoost: State Growth Control for AMMs.

Nicolas Michel, Mohamed E. Najd, Ghada Almashaqbeh

IACR Cryptol. ePrint Arch., 2024

Dealing with Synthetic Data Contamination in Online Continual Learning.

Maorong Wang, Nicolas Michel, Jiafeng Mao, Toshihiko Yamasaki

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 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

Adversarially Robust Continual Learning with Anti-Forgetting Loss.

Koki Mukai, Soichiro Kumano, Nicolas Michel, Ling Xiao, Toshihiko Yamasaki

Proceedings of the IEEE International Conference on Image Processing, 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