3 papers
cs.LG2026
Recycling computational processes of dynamic programming for combinatorial optimization problems: a reservoir computing approach
Sora Todaka, Akihiro Yamamoto, Nozomi Akashi
Reusing previously computed results is a long-standing principle for reducing computational cost, but such reuse has largely been confined to a single problem's computation. Sharin…
nlin.CD2025
Incorporating Coupling Knowledge into Echo State Networks for Learning Spatiotemporally Chaotic Dynamics
Kuei-Jan Chu, Nozomi Akashi, Akihiro Yamamoto
Machine learning methods have shown promise in learning chaotic dynamical systems, enabling model-free short-term prediction and attractor reconstruction. However, when applied to…
cs.AI2024
Implementing Derivations of Definite Logic Programs with Self-Attention Networks
Phan Thi Thanh Thuy, Akihiro Yamamoto
In this paper we propose that a restricted version of logical inference can be implemented with self-attention networks. We are aiming at showing that LLMs (Large Language Models)…