3 papers
cs.LG2026
Adaptive Sensing of Continuous Physical Systems for Machine Learning
Felix Köster, Atsushi Uchida
Physical dynamical systems can be viewed as natural information processors: their systems preserve, transform, and disperse input information. This perspective motivates learning n…
cs.CL2026
Reservoir Computing as a Language Model
Felix Köster, Atsushi Uchida
Large Language Models (LLM) have dominated the science and media landscape duo to their impressive performance on processing large chunks of data and produce human-like levels of t…
nlin.CD2025
Attention-Enhanced Reservoir Computing as a Multiple Dynamical System Approximator
Felix Köster, Kazutaka Kanno, Atsushi Uchida
Reservoir computing has proven effective for tasks such as time-series prediction, particularly in the context of chaotic systems. However, conventional reservoir computing framewo…