Robin Louiset

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 10

Top Topics

Machine Learning

Multiple Kernel

Multiple Representations

Inductive Inference

Top Venues

Publications

Florence Carton, Robin Louiset, Pietro Gori
Double InfoGAN for Contrastive Analysis. CoRR (2024)
Robin Louiset, Edouard Duchesnay, Antoine Grigis, Pietro Gori
Separating common from salient patterns with Contrastive Representation Learning. ICLR (2024)
Robin Louiset, Edouard Duchesnay, Antoine Grigis, Pietro Gori
Separating common from salient patterns with Contrastive Representation Learning. CoRR (2024)
Florence Carton, Robin Louiset, Pietro Gori
Double InfoGAN for Contrastive Analysis. AISTATS (2024)
Benoit Dufumier, Pietro Gori, Sara Petiton, Robin Louiset, Jean-François Mangin, Antoine Grigis, Edouard Duchesnay
Exploring the potential of representation and transfer learning for anatomical neuroimaging: Application to psychiatry. NeuroImage 296 (2024)
Robin Louiset, Edouard Duchesnay, Antoine Grigis, Benoit Dufumier, Pietro Gori
SepVAE: a contrastive VAE to separate pathological patterns from healthy ones. CoRR (2023)
Benoit Dufumier, Carlo Alberto Barbano, Robin Louiset, Edouard Duchesnay, Pietro Gori
Integrating Prior Knowledge in Contrastive Learning with Kernel. ICML (2023)
Benoit Dufumier, Carlo Alberto Barbano, Robin Louiset, Edouard Duchesnay, Pietro Gori
Rethinking Positive Sampling for Contrastive Learning with Kernel. CoRR (2022)
Robin Louiset, Pietro Gori, Benoit Dufumier, Josselin Houenou, Antoine Grigis, Edouard Duchesnay
UCSL : A Machine Learning Expectation-Maximization framework for Unsupervised Clustering driven by Supervised Learning. CoRR (2021)
Robin Louiset, Pietro Gori, Benoit Dufumier, Josselin Houenou, Antoine Grigis, Edouard Duchesnay
UCSL : A Machine Learning Expectation-Maximization Framework for Unsupervised Clustering Driven by Supervised Learning. ECML/PKDD (1) (2021)