activity
20122026
most citedDetection of phase transition via convolutional neural network

166 citations · 503 across the 24 of their papers we have counts for

collaborators

25 papers

cs.LG2026

Diffusion Language Models as Open Quantum Systems

Akinori Tanaka, Yukinao Akamatsu, Takuki Tomita +1

Diffusion language models generate text by reversing a classical diffusion process over token sequences. We show that their continuous-time forward and reverse dynamics can be embe…

cs.LG2024★ 1 cited

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…

math.OC2022★ 1 cited

Bézier Flow: a Surface-wise Gradient Descent Method for Multi-objective Optimization

Akiyoshi Sannai, Yasunari Hikima, Ken Kobayashi +2

In this paper, we propose a strategy to construct a multi-objective optimization algorithm from a single-objective optimization algorithm by using the Bézier simplex model. Also, w…

cs.LG2021

Approximate Bayesian Computation of Bézier Simplices

Akinori Tanaka, Akiyoshi Sannai, Ken Kobayashi +1

Bézier simplex fitting algorithms have been recently proposed to approximate the Pareto set/front of multi-objective continuous optimization problems. These new methods have shown…

hep-lat2020★ 4 cited

Self-learning Monte-Carlo for non-abelian gauge theory with dynamical fermions

Yuki Nagai, Akinori Tanaka, Akio Tomiya

In this paper, we develop the self-learning Monte-Carlo (SLMC) algorithm for non-abelian gauge theory with dynamical fermions in four dimensions to resolve the autocorrelation prob…

stat.ML2019★ 17 cited

Discriminator optimal transport

Akinori Tanaka

Within a broad class of generative adversarial networks, we show that discriminator optimization process increases a lower bound of the dual cost function for the Wasserstein dista…