Deny, Stephane

9 publications

TMLR 2025 A Comparison Between Humans and AI at Recognizing Objects in Unusual Poses Netta Ollikka, Amro Kamal Mohamed Abbas, Andrea Perin, Markku Kilpeläinen, Stephane Deny

JMLR 2025 On the Ability of Deep Networks to Learn Symmetries from Data: A Neural Kernel Theory Andrea Perin, Stephane Deny

TMLR 2025 ViewFusion: Learning Composable Diffusion Models for Novel View Synthesis Bernard Spiegl, Andrea Perin, Stephane Deny, Alexander Ilin

TMLR 2024 Blockwise Self-Supervised Learning at Scale Shoaib Siddiqui, David Krueger, Yann LeCun, Stephane Deny

TMLR 2023 On the Special Role of Class-Selective Neurons in Early Training Omkar Ranadive, Nikhil Thakurdesai, Ari S. Morcos, Matthew L Leavitt, Stephane Deny

AAAI 2023 Progress and Limitations of Deep Networks to Recognize Objects in Unusual Poses Amro Abbas, Stéphane Deny

ICML 2021 Barlow Twins: Self-Supervised Learning via Redundancy Reduction Jure Zbontar, Li Jing, Ishan Misra, Yann LeCun, Stephane Deny

ICLR 2019 A Unified Theory of Early Visual Representations from Retina to Cortex Through Anatomically Constrained Deep CNNs Jack Lindsey, Samuel A. Ocko, Surya Ganguli, Stephane Deny

NeurIPS 2018 The Emergence of Multiple Retinal Cell Types Through Efficient Coding of Natural Movies Samuel Ocko, Jack Lindsey, Surya Ganguli, Stephane Deny