Ruben Ohana
Ruben Ohana
Flatiron Institute - Simons Foundation
Verified email at - Homepage
Cited by
Cited by
Align, then memorise: the dynamics of learning with feedback alignment
M Refinetti, S d’Ascoli, R Ohana, S Goldt
International Conference on Machine Learning, 8925-8935, 2021
Kernel computations from large-scale random features obtained by optical processing units
R Ohana, J Wacker, J Dong, S Marmin, F Krzakala, M Filippone, L Daudet
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
Reservoir Computing meets Recurrent Kernels and Structured Transforms
J Dong, R Ohana, M Rafayelyan, F Krzakala
Advances in Neural Information Processing Systems 33, 2020
Multiple Physics Pretraining for Physical Surrogate Models
M McCabe, BRS Blancard, LH Parker, R Ohana, M Cranmer, A Bietti, ...
arXiv preprint arXiv:2310.02994, 2023
xVal: A Continuous Number Encoding for Large Language Models
S Golkar, M Pettee, M Eickenberg, A Bietti, M Cranmer, G Krawezik, ...
arXiv preprint arXiv:2310.02989, 2023
Adversarial robustness by design through analog computing and synthetic gradients
A Cappelli, R Ohana, J Launay, L Meunier, I Poli, F Krzakala
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022
LightOn Optical Processing Unit: Scaling-up AI and HPC with a Non von Neumann co-processor
C Brossollet, A Cappelli, I Carron, C Chaintoutis, A Chatelain, L Daudet, ...
arXiv preprint arXiv:2107.11814, 2021
Photonic Differential Privacy with Direct Feedback Alignment
R Ohana, HJM Ruiz, J Launay, A Cappelli, I Poli, L Ralaivola, ...
Advances in Neural Information Processing Systems 35, 2021
Method and system for machine learning using optical data
I Poli, J Launay, K Müller, G Pariente, I Carron, L Daudet, R Ohana, ...
US Patent 11,574,178, 2023
AstroCLIP: Cross-Modal Pre-Training for Astronomical Foundation Models
F Lanusse, L Parker, S Golkar, M Cranmer, A Bietti, M Eickenberg, ...
arXiv preprint arXiv:2310.03024, 2023
ROPUST: Improving Robustness through Fine-tuning with Photonic Processors and Synthetic Gradients
A Cappelli, J Launay, L Meunier, R Ohana, I Poli
arXiv preprint arXiv:2108.04217, 2021
Shedding a PAC-Bayesian light on adaptive sliced-Wasserstein distances
R Ohana, K Nadjahi, A Rakotomamonjy, L Ralaivola
International Conference on Machine Learning, 26451-26473, 2023
Complex-to-Real Sketches for Tensor Products with Applications to the Polynomial Kernel
J Wacker, R Ohana, M Filippone
International Conference on Artificial Intelligence and Statistics, 5181-5212, 2023
MoMo: Momentum Models for Adaptive Learning Rates
F Schaipp, R Ohana, M Eickenberg, A Defazio, RM Gower
arXiv preprint arXiv:2305.07583, 2023
Impact of epitaxial strain on the topological-nontopological phase diagram and semimetallic behavior of InAs/GaSb composite quantum wells
H Irie, T Akiho, F Couëdo, R Ohana, K Suzuki, K Onomitsu, K Muraki
Physical Review B 101 (7), 075433, 2020
Linear Optical Random Projections Without Holography
R Ohana, D Hesslow, D Brunner, S Gigan, K Müller
Optics Express, 2023
Removing Dust from CMB Observations with Diffusion Models
D Heurtel-Depeiges, B Burkhart, R Ohana, BRS Blancard
arXiv preprint arXiv:2310.16285, 2023
Binarization for Optical Processing Units via REINFORCE
B Kozyrskiy, I Poli, R Ohana, L Daudet, I Carron, M Filippone
Proceedings of the 3rd International Conference on Advances in Signal …, 2021
Experimental approach to demonstrating contextuality for qudits
A Sohbi, R Ohana, I Zaquine, E Diamanti, D Markham
Physical Review A 103 (6), 062220, 2021
Listening to the Noise: Blind Denoising with Gibbs Diffusion
D Heurtel-Depeiges, CC Margossian, R Ohana, BRS Blancard
arXiv preprint arXiv:2402.19455, 2024
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