Ruben Ohana
Orcid: 0000-0002-8493-1210
According to our database1,
Ruben Ohana
authored at least 22 papers
between 2020 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
Optical training of large-scale Transformers and deep neural networks with direct feedback alignment.
CoRR, 2024
CoRR, 2024
The Well: a Large-Scale Collection of Diverse Physics Simulations for Machine Learning.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
2023
Proceedings of the International Conference on Machine Learning, 2023
Complex-to-Real Sketches for Tensor Products with Applications to the Polynomial Kernel.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
2022
Proceedings of the IEEE International Conference on Acoustics, 2022
2021
ROPUST: Improving Robustness through Fine-tuning with Photonic Processors and Synthetic Gradients.
CoRR, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Photonic co-processors in HPC: Using LightOn OPUs for Randomized Numerical Linear Algebra.
Proceedings of the IEEE Hot Chips 33 Symposium, 2021
LightOn Optical Processing Unit : Scaling-up AI and HPC with a Non von Neumann co-processor.
Proceedings of the IEEE Hot Chips 33 Symposium, 2021
2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Kernel Computations from Large-Scale Random Features Obtained by Optical Processing Units.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020