| Barlow twins: Self-supervised learning via redundancy reduction J Zbontar, L Jing, I Misra, Y LeCun, S Deny ICML 2021, 2021 | 2242 | 2021 |
| A spike sorting toolbox for up to thousands of electrodes validated with ground truth recordings in vitro and in vivo P Yger, GLB Spampinato, E Esposito, B Lefebvre, S Deny, C Gardella, ... Elife 7, e34518, 2018 | 344* | 2018 |
| Dynamical criticality in the collective activity of a population of retinal neurons T Mora, S Deny, O Marre Physical review letters 114 (7), 078105, 2015 | 95 | 2015 |
| A Unified Theory of Early Visual Representations from Retina to Cortex through Anatomically Constrained Deep CNNs J Lindsey, SA Ocko, S Ganguli, S Deny ICLR 2019, 2019 | 94 | 2019 |
| Coupling of activity, metabolism and behaviour across the Drosophila brain K Mann, S Deny, S Ganguli, TR Clandinin Nature 593 (7858), 244-248, 2021 | 74 | 2021 |
| Multiplexed computations in retinal ganglion cells of a single type S Deny, U Ferrari, E Mace, P Yger, R Caplette, S Picaud, G Tkačik, ... Nature communications 8 (1), 1964, 2017 | 57 | 2017 |
| The emergence of multiple retinal cell types through efficient coding of natural movies SA Ocko, J Lindsey, S Ganguli, S Deny NeurIPS 2018, 458737, 2018 | 51 | 2018 |
| Nonlinear decoding of a complex movie from the mammalian retina V Botella-Soler, S Deny, G Martius, O Marre, G Tkačik PLoS computational biology 14 (5), e1006057, 2018 | 46 | 2018 |
| Towards optogenetic vision restoration with high resolution U Ferrari, S Deny, A Sengupta, R Caplette, F Trapani, JA Sahel, ... PLoS computational biology 16 (7), e1007857, 2020 | 33* | 2020 |
| Separating intrinsic interactions from extrinsic correlations in a network of sensory neurons U Ferrari, S Deny, M Chalk, G Tkačik, O Marre, T Mora Physical Review E 98 (4), 042410, 2018 | 23 | 2018 |
| Progress and limitations of deep networks to recognize objects in unusual poses A Abbas, S Deny Proceedings of the AAAI Conference on Artificial Intelligence 37 (1), 160-168, 2023 | 18 | 2023 |
| Blockwise self-supervised learning at scale SA Siddiqui, D Krueger, Y LeCun, S Deny TMLR 2024, 2023 | 14 | 2023 |
| Addressing the topological defects of disentanglement via distributed operators D Bouchacourt, M Ibrahim, S Deny arXiv preprint arXiv:2102.05623, 2021 | 11 | 2021 |
| Predicting synchronous firing of large neural populations from sequential recordings O Sorochynskyi, S Deny, O Marre, U Ferrari PLoS computational biology 17 (1), e1008501, 2021 | 10 | 2021 |
| A simple model for low variability in neural spike trains U Ferrari, S Deny, O Marre, T Mora Neural Computation 30 (11), 3009-3036, 2018 | 9 | 2018 |
| Learning stable representations in a changing world with on-line t-SNE: proof of concept in the songbird S Deny, E Mackevicius, T Okubo, G Berman, J Shaevitz, M Fee International Conference on Learning Representations (2016), 2016 | 5 | 2016 |
| On the special role of class-selective neurons in early training O Ranadive, N Thakurdesai, AS Morcos, M Leavitt, S Deny TMLR 2023, 2023 | 2 | 2023 |
| ViewFusion: Learning Composable Diffusion Models for Novel View Synthesis B Spiegl, A Perin, S Deny, A Ilin arXiv preprint arXiv:2402.02906, 2024 | 1 | 2024 |
| Local and non-local processing in the retina S Deny Université Pierre et Marie Curie-Paris VI, 2016 | 1 | 2016 |
| Humans Beat Deep Networks at Recognizing Objects in Unusual Poses, Given Enough Time N Ollikka, A Abbas, A Perin, M Kilpeläinen, S Deny arXiv preprint arXiv:2402.03973, 2024 | | 2024 |
Olivier MarreInstitut de la Vision, INSERM, Paris在 inserm.fr 的电子邮件经过验证
