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06/07/2022
Shedding a PAC-Bayesian Light on Adaptive Sliced-Wasserstein Distances
The Sliced-Wasserstein distance (SW) is a computationally efficient and ...
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02/04/2022
Complex-to-Real Random Features for Polynomial Kernels
Kernel methods are ubiquitous in statistical modeling due to their theor...
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07/25/2021
LightOn Optical Processing Unit: Scaling-up AI and HPC with a Non von Neumann co-processor
We introduce LightOn's Optical Processing Unit (OPU), the first photonic...
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06/07/2021
Photonic Differential Privacy with Direct Feedback Alignment
Optical Processing Units (OPUs) – low-power photonic chips dedicated to ...
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04/29/2021
Photonic co-processors in HPC: using LightOn OPUs for Randomized Numerical Linear Algebra
Randomized Numerical Linear Algebra (RandNLA) is a powerful class of met...
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01/06/2021
Adversarial Robustness by Design through Analog Computing and Synthetic Gradients
We propose a new defense mechanism against adversarial attacks inspired ...
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11/24/2020
The dynamics of learning with feedback alignment
Direct Feedback Alignment (DFA) is emerging as an efficient and biologic...
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06/12/2020
Reservoir Computing meets Recurrent Kernels and Structured Transforms
Reservoir Computing is a class of simple yet efficient Recurrent Neural ...
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10/22/2019
