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20212026
most citedA feed-forward neural network as a nonlinear dynamics integrator for supercontinuum generation

51 citations · 70 across the 5 of their papers we have counts for

collaborators

5 papers

cs.ET2026

Power law scaling for classification accuracy in physical neural networks

Andrei V. Ermolaev, Mathilde Hary, Anas Skalli +7

Physical neural networks (PNNs) harness the intrinsic complexity of physical systems to perform neural computation, potentially at speeds and energy efficiencies inaccessible to co…

physics.optics2025★ 6 cited

Limits of nonlinear and dispersive fiber propagation for an optical fiber-based extreme learning machine

Andrei V. Ermolaev, Mathilde Hary, Lev Leybov +5

We report a generalized nonlinear Schrödinger equation simulation model of an extreme learning machine (ELM) based on optical fiber propagation. Using the MNIST handwritten digit d…

physics.optics2025★ 13 cited

Principles and Metrics of Extreme Learning Machines Using a Highly Nonlinear Fiber

Mathilde Hary, Daniel Brunner, Lev Leybov +3

Optical computing offers potential for ultra high-speed and low latency computation by leveraging the intrinsic properties of light. Here, we explore the use of highly nonlinear op…

physics.optics2023

Tailored supercontinuum generation using genetic algorithmoptimized Fourier domain pulse shaping

Mathilde Hary, Lauri Salmela, Piotr Ryczkowski +3

We report the generation of spectrally-tailored supercontinuum using Fourier-domain pulse shaping of femtosecond pulses injected into a highly nonlinear fiber controlled by a genet…

physics.comp-ph2021★ 51 cited

A feed-forward neural network as a nonlinear dynamics integrator for supercontinuum generation

Lauri Salmela, Mathilde Hary, Mehdi Mabed +3

The nonlinear propagation of ultrashort pulses in optical fiber depends sensitively on both input pulse and fiber parameters. As a result, optimizing propagation for specific appli…