2 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…
nlin.PS2024
Automating physical intuition in nonlinear fiber optics with unsupervised dominant balance search
Andrei V. Ermolaev, Christophe Finot, Goery Genty +1
Identifying the underlying processes that locally dominate physical interactions is the key to understanding nonlinear dynamics. Machine-learning techniques have recently been show…