9 citations · 20 across the 6 of their papers we have counts for
4 papers · 1 filter
Data-driven discovery of self-similarity using neural networks
Ryota Watanabe, Takanori Ishii, Yuji Hirono +1
Finding self-similarity is a key step for understanding the governing law behind complex physical phenomena. Traditional methods for identifying self-similarity often rely on speci…
Neural network representation of quantum systems
Koji Hashimoto, Yuji Hirono, Jun Maeda +1
It has been proposed that random wide neural networks near Gaussian process are quantum field theories around Gaussian fixed points. In this paper, we provide a novel map with whic…
Understanding Diffusion Models by Feynman's Path Integral
Yuji Hirono, Akinori Tanaka, Kenji Fukushima
Score-based diffusion models have proven effective in image generation and have gained widespread usage; however, the underlying factors contributing to the performance disparity b…
Unification of Symmetries Inside Neural Networks: Transformer, Feedforward and Neural ODE
Koji Hashimoto, Yuji Hirono, Akiyoshi Sannai
Understanding the inner workings of neural networks, including transformers, remains one of the most challenging puzzles in machine learning. This study introduces a novel approach…