Nicolas Beuve

According to our database, Nicolas Beuve authored at least 7 papers between 2021 and 2026.

Collaborative distances:

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

2026

Multi-action Tangled Program Graphs for Multi-task Reinforcement Learning with Continuous Control.

Quentin Vacher, Nicolas Beuve, Mickaël Dardaillon, Karol Desnos

Proceedings of the Genetic Programming, 2026

2025

MAPLE: Multi-Action Programs through Linear Evolution for Continuous Multi-Action Reinforcement Learning.

Quentin Vacher, Stephen Kelly, Ali Naqvi, Nicolas Beuve, Tanya Djavaherpour, Mickaël Dardaillon, Karol Desnos

Proceedings of the Genetic and Evolutionary Computation Conference, 2025

2024

Hierarchical Learning and Dummy Triplet Loss for Efficient Deepfake Detection.

Nicolas Beuve, Wassim Hamidouche, Olivier Déforges

ACM Trans. Multim. Comput. Commun. Appl., March, 2024

Ensemble Learning Model for Face Swap Detection.

Khouloud Samrouth, Nicolas Beuve, Olivier Déforges, Nader Bakir, Wassim Hamidouche

Proceedings of the 12th International Symposium on Digital Forensics and Security, 2024

Hybrid Genetic Programming and Deep Reinforcement Learning for Low-Complexity Robot Arm Trajectory Planning.

Quentin Vacher, Nicolas Beuve, Paul Allaire, Thibaut Marty, Mickaël Dardaillon, Karol Desnos

Proceedings of the 16th International Joint Conference on Computational Intelligence, 2024

2023

WaterLo: Protect Images from Deepfakes Using Localized Semi-Fragile Watermark.

Nicolas Beuve, Wassim Hamidouche, Olivier Déforges

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2021

DmyT: Dummy Triplet Loss for Deepfake Detection.

Nicolas Beuve, Wassim Hamidouche, Olivier Déforges

Proceedings of the ADGD '21: Proceedings of the 1st Workshop on Synthetic Multimedia, 2021