Robin Louiset

Orcid: 0000-0001-7403-0681

According to our database1, Robin Louiset authored at least 8 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Exploring the potential of representation and transfer learning for anatomical neuroimaging: Application to psychiatry.
NeuroImage, 2024

Supervised Diagnosis Prediction from Cortical Sulci: Toward the Discovery of Neurodevelopmental Biomarkers in Mental Disorders.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Separating common from salient patterns with Contrastive Representation Learning.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Double InfoGAN for Contrastive Analysis.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023
SepVAE: a contrastive VAE to separate pathological patterns from healthy ones.
CoRR, 2023

Integrating Prior Knowledge in Contrastive Learning with Kernel.
Proceedings of the International Conference on Machine Learning, 2023

2022
Rethinking Positive Sampling for Contrastive Learning with Kernel.
CoRR, 2022

2021
UCSL : A Machine Learning Expectation-Maximization Framework for Unsupervised Clustering Driven by Supervised Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021


  Loading...