3 papers
cs.LG2026
Training-Induced Escape from Token Clustering in a Mean-Field Formulation of Transformers
Noboru Isobe, Daisuke Inoue, Masaaki Imaizumi
Transformers perform inference by iteratively transforming token representations across layers. This layerwise computation has been studied empirically, and recent mean-field theor…
eess.SY2025
Reservoir Predictive Path Integral Control for Unknown Nonlinear Dynamics
Daisuke Inoue, Tadayoshi Matsumori, Gouhei Tanaka +1
Neural networks have found extensive application in data-driven control of nonlinear dynamical systems, yet fast online identification and control of unknown dynamics remain centra…
math.NA2024
An Uncertainty-aware, Mesh-free Numerical Method for Kolmogorov PDEs
Daisuke Inoue, Yuji Ito, Takahito Kashiwabara +2
This study introduces an uncertainty-aware, mesh-free numerical method for solving Kolmogorov PDEs. In the proposed method, we use Gaussian process regression (GPR) to smoothly int…