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2020 – today
- 2024
[j6]Shoaib Ahmed Siddiqui, David Krueger, Yann LeCun, Stéphane Deny:
Blockwise Self-Supervised Learning at Scale. Trans. Mach. Learn. Res. 2024 (2024)- [i9]Bernard Spiegl
, Andrea Perin, Stéphane Deny, Alexander Ilin:
ViewFusion: Learning Composable Diffusion Models for Novel View Synthesis. CoRR abs/2402.02906 (2024) - [i8]Netta Ollikka, Amro Abbas, Andrea Perin, Markku Kilpeläinen, Stéphane Deny:
Humans Beat Deep Networks at Recognizing Objects in Unusual Poses, Given Enough Time. CoRR abs/2402.03973 (2024) - [i7]Andrea Perin, Stéphane Deny:
On the Ability of Deep Networks to Learn Symmetries from Data: A Neural Kernel Theory. CoRR abs/2412.11521 (2024) - 2023
- [j5]Omkar Ranadive, Nikhil Thakurdesai, Ari S. Morcos, Matthew L. Leavitt, Stéphane Deny:
On the special role of class-selective neurons in early training. Trans. Mach. Learn. Res. 2023 (2023) - [c4]Amro Abbas, Stéphane Deny:
Progress and Limitations of Deep Networks to Recognize Objects in Unusual Poses. AAAI 2023: 160-168 - [i6]Shoaib Ahmed Siddiqui, David Krueger, Yann LeCun, Stéphane Deny:
Blockwise Self-Supervised Learning at Scale. CoRR abs/2302.01647 (2023) - [i5]Omkar Ranadive, Nikhil Thakurdesai, Ari S. Morcos, Matthew L. Leavitt, Stéphane Deny:
On the special role of class-selective neurons in early training. CoRR abs/2305.17409 (2023) - 2022
- [i4]Amro Abbas, Stéphane Deny:
Progress and limitations of deep networks to recognize objects in unusual poses. CoRR abs/2207.08034 (2022) - 2021
- [j4]Oleksandr Sorochynskyi, Stéphane Deny, Olivier Marre, Ulisse Ferrari:
Predicting synchronous firing of large neural populations from sequential recordings. PLoS Comput. Biol. 17(1) (2021) - [c3]Jure Zbontar, Li Jing, Ishan Misra, Yann LeCun, Stéphane Deny:
Barlow Twins: Self-Supervised Learning via Redundancy Reduction. ICML 2021: 12310-12320 - [i3]Diane Bouchacourt, Mark Ibrahim, Stéphane Deny:
Addressing the Topological Defects of Disentanglement via Distributed Operators. CoRR abs/2102.05623 (2021) - [i2]Jure Zbontar, Li Jing, Ishan Misra, Yann LeCun, Stéphane Deny:
Barlow Twins: Self-Supervised Learning via Redundancy Reduction. CoRR abs/2103.03230 (2021) - 2020
- [j3]Ulisse Ferrari, Stéphane Deny, Abhishek Sengupta, Romain Caplette, Francesco Trapani, José-Alain Sahel, Deniz Dalkara, Serge Picaud, Jens Duebel, Olivier Marre:
Towards optogenetic vision restoration with high resolution. PLoS Comput. Biol. 16(7) (2020)
2010 – 2019
- 2019
- [c2]Jack Lindsey, Samuel A. Ocko, Surya Ganguli, Stéphane Deny:
A Unified Theory of Early Visual Representations from Retina to Cortex through Anatomically Constrained Deep CNNs. ICLR 2019 - [i1]Jack Lindsey, Samuel A. Ocko, Surya Ganguli, Stéphane Deny:
A Unified Theory of Early Visual Representations from Retina to Cortex through Anatomically Constrained Deep CNNs. CoRR abs/1901.00945 (2019) - 2018
- [j2]Ulisse Ferrari, Stéphane Deny, Olivier Marre, Thierry Mora:
A Simple Model for Low Variability in Neural Spike Trains. Neural Comput. 30(11) (2018) - [j1]Vicente Botella-Soler, Stéphane Deny, Georg Martius, Olivier Marre, Gasper Tkacik:
Nonlinear decoding of a complex movie from the mammalian retina. PLoS Comput. Biol. 14(5) (2018) - [c1]Samuel A. Ocko, Jack Lindsey, Surya Ganguli, Stéphane Deny:
The emergence of multiple retinal cell types through efficient coding of natural movies. NeurIPS 2018: 9411-9422
Coauthor Index
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