Robin Louiset

14 papers A* 2A 1Journal 7Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Weakly Supervised Segmentation and Classification of Alpha-Synuclein Aggregates in Brightfield Midbrain Images.
CoRR
Erwan Dereure, Robin Louiset, Laura Parkkinen, David A. Menassa, David Holcman
2024 A conf
Double InfoGAN for Contrastive Analysis.
AISTATS
Florence Carton, Robin Louiset, Pietro Gori
2024 J jnl
Double InfoGAN for Contrastive Analysis.
CoRR
Florence Carton, Robin Louiset, Pietro Gori
2024 J jnl
Exploring the potential of representation and transfer learning for anatomical neuroimaging: Application to psychiatry.
NeuroImage
Benoit Dufumier, Pietro Gori, Sara Petiton, Robin Louiset, Jean-François Mangin, Antoine Grigis, Edouard Duchesnay
2024 — —
Learning pathological representations in neuroimaging : Predicting psychiatric diagnosis by integrating heterogeneity constraints. (Apprentissage de représentations pathologiques en neuroimagerie : prédiction du diagnostic psychiatrique en intégrant des contraintes d'hétérogénéité).
Robin Louiset
2024 — conf
SepVAE: a contrastive VAE to separate pathological patterns from healthy ones.
MIDL
Robin Louiset, Edouard Duchesnay, Antoine Grigis, Benoit Dufumier, Pietro Gori
2024 A* conf
Separating common from salient patterns with Contrastive Representation Learning.
ICLR
Robin Louiset, Edouard Duchesnay, Antoine Grigis, Pietro Gori
2024 J jnl
Separating common from salient patterns with Contrastive Representation Learning.
CoRR
Robin Louiset, Edouard Duchesnay, Antoine Grigis, Pietro Gori
2024 — conf
Supervised Diagnosis Prediction from Cortical Sulci: Toward the Discovery of Neurodevelopmental Biomarkers in Mental Disorders.
ISBI
Pierre Auriau, Antoine Grigis, Benoit Dufumier, Robin Louiset, Joël Chavas, Pietro Gori, Jean-François Mangin, Edouard Duchesnay
2023 A* conf
Integrating Prior Knowledge in Contrastive Learning with Kernel.
ICML
Benoit Dufumier, Carlo Alberto Barbano, Robin Louiset, Edouard Duchesnay, Pietro Gori
2023 J jnl
SepVAE: a contrastive VAE to separate pathological patterns from healthy ones.
CoRR
Robin Louiset, Edouard Duchesnay, Antoine Grigis, Benoit Dufumier, Pietro Gori
2022 J jnl
Rethinking Positive Sampling for Contrastive Learning with Kernel.
CoRR
Benoit Dufumier, Carlo Alberto Barbano, Robin Louiset, Edouard Duchesnay, Pietro Gori
2021 — conf
UCSL : A Machine Learning Expectation-Maximization Framework for Unsupervised Clustering Driven by Supervised Learning.
ECML/PKDD (1)
Robin Louiset, Pietro Gori, Benoit Dufumier, Josselin Houenou, Antoine Grigis, Edouard Duchesnay
2021 J jnl
UCSL : A Machine Learning Expectation-Maximization framework for Unsupervised Clustering driven by Supervised Learning.
CoRR
Robin Louiset, Pietro Gori, Benoit Dufumier, Josselin Houenou, Antoine Grigis, Edouard Duchesnay