Stéphane Deny
Stéphane Deny
Assistant Professor at Aalto University
Verified email at - Homepage
Cited by
Cited by
Barlow twins: Self-supervised learning via redundancy reduction
J Zbontar, L Jing, I Misra, Y LeCun, S Deny
ICML 2021, 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
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
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
Coupling of activity, metabolism and behaviour across the Drosophila brain
K Mann, S Deny, S Ganguli, TR Clandinin
Nature 593 (7858), 244-248, 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
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
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
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
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
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
Blockwise self-supervised learning at scale
SA Siddiqui, D Krueger, Y LeCun, S Deny
TMLR 2024, 2023
Addressing the topological defects of disentanglement via distributed operators
D Bouchacourt, M Ibrahim, S Deny
arXiv preprint arXiv:2102.05623, 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
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
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
On the special role of class-selective neurons in early training
O Ranadive, N Thakurdesai, AS Morcos, M Leavitt, S Deny
TMLR 2023, 2023
ViewFusion: Learning Composable Diffusion Models for Novel View Synthesis
B Spiegl, A Perin, S Deny, A Ilin
arXiv preprint arXiv:2402.02906, 2024
Local and non-local processing in the retina
S Deny
Université Pierre et Marie Curie-Paris VI, 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
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