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ORCIDRuben Ohana
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2020 – today
- 2024
[c11]David Heurtel-Depeiges, Charles Margossian, Ruben Ohana, Bruno Régaldo-Saint Blancard:
Listening to the noise: Blind Denoising with Gibbs Diffusion. ICML 2024- [c10]Fabian Schaipp, Ruben Ohana, Michael Eickenberg, Aaron Defazio, Robert M. Gower:
MoMo: Momentum Models for Adaptive Learning Rates. ICML 2024 - [i18]David Heurtel-Depeiges, Charles C. Margossian, Ruben Ohana, Bruno Régaldo-Saint Blancard:
Listening to the Noise: Blind Denoising with Gibbs Diffusion. CoRR abs/2402.19455 (2024) - [i17]Siavash Golkar, Alberto Bietti, Mariel Pettee, Michael Eickenberg, Miles D. Cranmer, Keiya Hirashima
, Géraud Krawezik, Nicholas Lourie, Michael McCabe, Rudy Morel, Ruben Ohana, Liam Holden Parker, Bruno Régaldo-Saint Blancard, Kyunghyun Cho, Shirley Ho:
Contextual Counting: A Mechanistic Study of Transformers on a Quantitative Task. CoRR abs/2406.02585 (2024) - [i16]Ziao Wang, Kilian Müller, Matthew J. Filipovich, Julien Launay, Ruben Ohana, Gustave Pariente, Safa Mokaadi, Charles Brossollet, Fabien Moreau, Alessandro Cappelli, Iacopo Poli, Igor Carron, Laurent Daudet, Florent Krzakala, Sylvain Gigan:
Optical training of large-scale Transformers and deep neural networks with direct feedback alignment. CoRR abs/2409.12965 (2024) - 2023
- [c9]Jonas Wacker, Ruben Ohana, Maurizio Filippone:
Complex-to-Real Sketches for Tensor Products with Applications to the Polynomial Kernel. AISTATS 2023: 5181-5212 - [c8]Ruben Ohana, Kimia Nadjahi, Alain Rakotomamonjy, Liva Ralaivola:
Shedding a PAC-Bayesian Light on Adaptive Sliced-Wasserstein Distances. ICML 2023: 26451-26473 - [i15]Fabian Schaipp, Ruben Ohana, Michael Eickenberg, Aaron Defazio, Robert M. Gower:
MoMo: Momentum Models for Adaptive Learning Rates. CoRR abs/2305.07583 (2023) - [i14]Siavash Golkar, Mariel Pettee, Michael Eickenberg, Alberto Bietti, Miles D. Cranmer, Géraud Krawezik, François Lanusse, Michael McCabe, Ruben Ohana, Liam Holden Parker, Bruno Régaldo-Saint Blancard, Tiberiu Tesileanu, Kyunghyun Cho, Shirley Ho:
xVal: A Continuous Number Encoding for Large Language Models. CoRR abs/2310.02989 (2023) - [i13]Michael McCabe, Bruno Régaldo-Saint Blancard, Liam Holden Parker, Ruben Ohana, Miles D. Cranmer, Alberto Bietti, Michael Eickenberg, Siavash Golkar, Géraud Krawezik, François Lanusse, Mariel Pettee, Tiberiu Tesileanu, Kyunghyun Cho, Shirley Ho:
Multiple Physics Pretraining for Physical Surrogate Models. CoRR abs/2310.02994 (2023) - [i12]François Lanusse, Liam Holden Parker, Siavash Golkar, Miles D. Cranmer, Alberto Bietti, Michael Eickenberg, Géraud Krawezik, Michael McCabe, Ruben Ohana, Mariel Pettee, Bruno Régaldo-Saint Blancard, Tiberiu Tesileanu, Kyunghyun Cho, Shirley Ho:
AstroCLIP: Cross-Modal Pre-Training for Astronomical Foundation Models. CoRR abs/2310.03024 (2023) - [i11]David Heurtel-Depeiges, Blakesley Burkhart, Ruben Ohana, Bruno Régaldo-Saint Blancard:
Removing Dust from CMB Observations with Diffusion Models. CoRR abs/2310.16285 (2023) - 2022
- [c7]Alessandro Cappelli, Ruben Ohana, Julien Launay, Laurent Meunier, Iacopo Poli, Florent Krzakala:
Adversarial Robustness by Design Through Analog Computing And Synthetic Gradients. ICASSP 2022: 3493-3497 - [i10]Jonas Wacker, Ruben Ohana, Maurizio Filippone:
Complex-to-Real Random Features for Polynomial Kernels. CoRR abs/2202.02031 (2022) - [i9]Ruben Ohana, Kimia Nadjahi, Alain Rakotomamonjy, Liva Ralaivola:
Shedding a PAC-Bayesian Light on Adaptive Sliced-Wasserstein Distances. CoRR abs/2206.03230 (2022) - 2021
- [c6]Charles Brossollet, Alessandro Cappelli, Igor Carron, Charidimos Chaintoutis, Amélie Chatelain, Laurent Daudet, Sylvain Gigan, Daniel Hesslow, Florent Krzakala, Julien Launay, Safa Mokaadi, Fabien Moreau, Kilian Müller, Ruben Ohana, Gustave Pariente, Iacopo Poli, Giuseppe Luca Tommasone:
LightOn Optical Processing Unit : Scaling-up AI and HPC with a Non von Neumann co-processor. HCS 2021: 1-11 - [c5]Daniel Hesslow, Alessandro Cappelli, Igor Carron, Laurent Daudet, Raphaël Lafargue, Kilian Müller, Ruben Ohana, Gustave Pariente, Iacopo Poli:
Photonic co-processors in HPC: Using LightOn OPUs for Randomized Numerical Linear Algebra. HCS 2021: 1-9 - [c4]Maria Refinetti, Stéphane d'Ascoli, Ruben Ohana, Sebastian Goldt:
Align, then memorise: the dynamics of learning with feedback alignment. ICML 2021: 8925-8935 - [c3]Ruben Ohana, Hamlet Jesse Medina Ruiz, Julien Launay, Alessandro Cappelli, Iacopo Poli, Liva Ralaivola, Alain Rakotomamonjy:
Photonic Differential Privacy with Direct Feedback Alignment. NeurIPS 2021: 22010-22020 - [i8]Alessandro Cappelli, Ruben Ohana, Julien Launay, Laurent Meunier, Iacopo Poli, Florent Krzakala:
Adversarial Robustness by Design through Analog Computing and Synthetic Gradients. CoRR abs/2101.02115 (2021) - [i7]Daniel Hesslow, Alessandro Cappelli, Igor Carron, Laurent Daudet, Raphaël Lafargue, Kilian Müller, Ruben Ohana, Gustave Pariente, Iacopo Poli:
Photonic co-processors in HPC: using LightOn OPUs for Randomized Numerical Linear Algebra. CoRR abs/2104.14429 (2021) - [i6]Ruben Ohana, Hamlet Jesse Medina Ruiz, Julien Launay, Alessandro Cappelli, Iacopo Poli, Liva Ralaivola, Alain Rakotomamonjy:
Photonic Differential Privacy with Direct Feedback Alignment. CoRR abs/2106.03645 (2021) - [i5]Charles Brossollet, Alessandro Cappelli, Igor Carron, Charidimos Chaintoutis, Amélie Chatelain, Laurent Daudet, Sylvain Gigan, Daniel Hesslow, Florent Krzakala, Julien Launay, Safa Mokaadi, Fabien Moreau, Kilian Müller, Ruben Ohana, Gustave Pariente, Iacopo Poli, Giuseppe Luca Tommasone:
LightOn Optical Processing Unit: Scaling-up AI and HPC with a Non von Neumann co-processor. CoRR abs/2107.11814 (2021) - [i4]Alessandro Cappelli, Julien Launay, Laurent Meunier, Ruben Ohana, Iacopo Poli:
ROPUST: Improving Robustness through Fine-tuning with Photonic Processors and Synthetic Gradients. CoRR abs/2108.04217 (2021) - 2020
- [c2]Ruben Ohana, Jonas Wacker, Jonathan Dong, Sébastien Marmin, Florent Krzakala, Maurizio Filippone, Laurent Daudet:
Kernel Computations from Large-Scale Random Features Obtained by Optical Processing Units. ICASSP 2020: 9294-9298 - [c1]Jonathan Dong, Ruben Ohana, Mushegh Rafayelyan, Florent Krzakala:
Reservoir Computing meets Recurrent Kernels and Structured Transforms. NeurIPS 2020 - [i3]Jonathan Dong, Ruben Ohana, Mushegh Rafayelyan, Florent Krzakala:
Reservoir Computing meets Recurrent Kernels and Structured Transforms. CoRR abs/2006.07310 (2020) - [i2]Maria Refinetti, Stéphane d'Ascoli, Ruben Ohana, Sebastian Goldt:
The dynamics of learning with feedback alignment. CoRR abs/2011.12428 (2020)
2010 – 2019
- 2019
- [i1]Ruben Ohana, Jonas Wacker, Jonathan Dong, Sébastien Marmin, Florent Krzakala, Maurizio Filippone, Laurent Daudet:
Kernel computations from large-scale random features obtained by Optical Processing Units. CoRR abs/1910.09880 (2019)
Coauthor Index
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last updated on 2024-10-18 20:32 CEST by the dblp team
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