2 papers
cs.LG2025
Perturbative Gradient Training: A novel training paradigm for bridging the gap between deep neural networks and physical reservoir computing
Cliff B. Abbott, Mark Elo, Dmytro A. Bozhko
We introduce Perturbative Gradient Training (PGT), a novel training paradigm that overcomes a critical limitation of physical reservoir computing: the inability to perform backprop…
cs.ET2024
Hybrid Magnonic Reservoir Computing
Cliff B. Abbott, Dmytro A. Bozhko
Magnonic systems have been a major area of research interest due to their potential benefits in speed and lower power consumption compared to traditional computing. One particular…