193 citations · 515 across the 8 of their papers we have counts for
3 papers · 1 filter
Reservoir Computing meets Recurrent Kernels and Structured Transforms
Jonathan Dong, Ruben Ohana, Mushegh Rafayelyan +1
Reservoir Computing is a class of simple yet efficient Recurrent Neural Networks where internal weights are fixed at random and only a linear output layer is trained. In the large…
Scalable spin-glass optical simulator
Davide Pierangeli, Mushegh Rafayelyan, Claudio Conti +1
Many developments in science and engineering depend on tackling complex optimizations on large scales. The challenge motivates intense search for specific computing hardware that t…
Large-Scale Optical Reservoir Computing for Spatiotemporal Chaotic Systems Prediction
Mushegh Rafayelyan, Jonathan Dong, Yongqi Tan +2
Reservoir computing is a relatively recent computational paradigm that originates from a recurrent neural network and is known for its wide range of implementations using different…