Najman, Laurent

12 publications

TMLR 2026 Explaining with Trees: Interpreting CNNs Using Hierarchies Caroline Mazini Rodrigues, Nicolas Boutry, Laurent Najman

TMLR 2025 Lognormal Mutations and Their Use in Detecting Surreptitious Fake Images Olivier Teytaud, Mariia Zameshina, Tom Sander, Pierre Fernandez, Furong Ye, Laurent Najman, Thomas Bäck, Ismail Labiad

TMLR 2025 Quantile Activation: Correcting a Failure Mode of Traditional ML Models Aditya Challa, Sravan Danda, Laurent Najman, Snehanshu Saha

MIDL 2024 Finite Volume Informed Graph Neural Network for Myocardial Perfusion Simulation Raoul Sallé Chou, Matthew Sinclair, Sabrina Lynch, Nan Xiao, Laurent Najman, Irene Vignon-Clementel, Hugues Talbot

ICLR 2023 On the Duality Between Contrastive and Non-Contrastive Self-Supervised Learning Quentin Garrido, Yubei Chen, Adrien Bardes, Laurent Najman, Yann LeCun

ICML 2023 RankMe: Assessing the Downstream Performance of Pretrained Self-Supervised Representations by Their Rank Quentin Garrido, Randall Balestriero, Laurent Najman, Yann Lecun

ICML 2023 Self-Supervised Learning of Split Invariant Equivariant Representations Quentin Garrido, Laurent Najman, Yann Lecun

JMLR 2014 Convolutional Nets and Watershed Cuts for Real-Time Semantic Labeling of RGBD Videos Camille Couprie, Clément Farabet, Laurent Najman, Yann LeCun

ECCV 2014 Tubular Structure Filtering by Ranking Orientation Responses of Path Operators Odyssée Merveille, Hugues Talbot, Laurent Najman, Nicolas Passat

ICLR 2013 Indoor Semantic Segmentation Using Depth Information Camille Couprie, Clément Farabet, Laurent Najman, Yann LeCun

ICML 2012 Scene Parsing with Multiscale Feature Learning, Purity Trees, and Optimal Covers Clément Farabet, Camille Couprie, Laurent Najman, Yann LeCun

ICCV 2009 Power Watersheds: A New Image Segmentation Framework Extending Graph Cuts, Random Walker and Optimal Spanning Forest Camille Couprie, Leo J. Grady, Laurent Najman, Hugues Talbot