Robin Louiset

According to our database, Robin Louiset authored at least 6 papers between 2021 and 2024.

Collaborative distances:

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

2024

Separating common from salient patterns with Contrastive Representation Learning.

Robin Louiset, Edouard Duchesnay, Antoine Grigis, Pietro Gori

CoRR, 2024

Double InfoGAN for Contrastive Analysis.

Florence Carton, Robin Louiset, Pietro Gori

CoRR, 2024

2023

SepVAE: a contrastive VAE to separate pathological patterns from healthy ones.

Robin Louiset, Edouard Duchesnay, Antoine Grigis, Benoit Dufumier, Pietro Gori

CoRR, 2023

Integrating Prior Knowledge in Contrastive Learning with Kernel.

Benoit Dufumier, Carlo Alberto Barbano, Robin Louiset, Edouard Duchesnay, Pietro Gori

Proceedings of the International Conference on Machine Learning, 2023

2022

Rethinking Positive Sampling for Contrastive Learning with Kernel.

Benoit Dufumier, Carlo Alberto Barbano, Robin Louiset, Edouard Duchesnay, Pietro Gori

CoRR, 2022

2021

UCSL : A Machine Learning Expectation-Maximization Framework for Unsupervised Clustering Driven by Supervised Learning.

Robin Louiset, Pietro Gori, Benoit Dufumier, Josselin Houenou, Antoine Grigis, Edouard Duchesnay

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021