Ruben Ohana

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 26

Top Topics

Polynomial Kernels

Processing Units

Top Venues

Publications

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 (2024)
David Heurtel-Depeiges, Charles C. Margossian, Ruben Ohana, Bruno Régaldo-Saint Blancard
Listening to the Noise: Blind Denoising with Gibbs Diffusion. CoRR (2024)
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 (2023)
Jonas Wacker, Ruben Ohana, Maurizio Filippone
Complex-to-Real Sketches for Tensor Products with Applications to the Polynomial Kernel. AISTATS (2023)
Fabian Schaipp, Ruben Ohana, Michael Eickenberg, Aaron Defazio, Robert M. Gower
MoMo: Momentum Models for Adaptive Learning Rates. CoRR (2023)
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 (2023)
David Heurtel-Depeiges, Blakesley Burkhart, Ruben Ohana, Bruno Régaldo-Saint Blancard
Removing Dust from CMB Observations with Diffusion Models. CoRR (2023)
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 (2023)
Ruben Ohana, Kimia Nadjahi, Alain Rakotomamonjy, Liva Ralaivola
Shedding a PAC-Bayesian Light on Adaptive Sliced-Wasserstein Distances. ICML (2023)
Alessandro Cappelli, Ruben Ohana, Julien Launay, Laurent Meunier, Iacopo Poli, Florent Krzakala
Adversarial Robustness by Design Through Analog Computing And Synthetic Gradients. ICASSP (2022)
Ruben Ohana, Kimia Nadjahi, Alain Rakotomamonjy, Liva Ralaivola
Shedding a PAC-Bayesian Light on Adaptive Sliced-Wasserstein Distances. CoRR (2022)
Jonas Wacker, Ruben Ohana, Maurizio Filippone
Complex-to-Real Random Features for Polynomial Kernels. CoRR (2022)
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)
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 (2021)
Maria Refinetti, Stéphane d'Ascoli, Ruben Ohana, Sebastian Goldt
Align, then memorise: the dynamics of learning with feedback alignment. ICML (2021)
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 (2021)
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)
Alessandro Cappelli, Julien Launay, Laurent Meunier, Ruben Ohana, Iacopo Poli
ROPUST: Improving Robustness through Fine-tuning with Photonic Processors and Synthetic Gradients. CoRR (2021)
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)
Alessandro Cappelli, Ruben Ohana, Julien Launay, Laurent Meunier, Iacopo Poli, Florent Krzakala
Adversarial Robustness by Design through Analog Computing and Synthetic Gradients. CoRR (2021)
Ruben Ohana, Hamlet J. Medina Ruiz, Julien Launay, Alessandro Cappelli, Iacopo Poli, Liva Ralaivola, Alain Rakotomamonjy
Photonic Differential Privacy with Direct Feedback Alignment. CoRR (2021)
Jonathan Dong, Ruben Ohana, Mushegh Rafayelyan, Florent Krzakala
Reservoir Computing meets Recurrent Kernels and Structured Transforms. NeurIPS (2020)
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)
Jonathan Dong, Ruben Ohana, Mushegh Rafayelyan, Florent Krzakala
Reservoir Computing meets Recurrent Kernels and Structured Transforms. CoRR (2020)
Maria Refinetti, Stéphane d'Ascoli, Ruben Ohana, Sebastian Goldt
The dynamics of learning with feedback alignment. CoRR (2020)
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 (2019)