Greedy Search Algorithm for Mixed Precision in Post-Training Quantization of Convolutional Neural Network Inspired by Submodular Optimization. - Satoki Tsuji; Hiroshi Kawaguchi 001; Atsuki Inoue; Yasufumi Sakai; Fuyuka Yamada (ACML, 2021)

A High-Speed Neural Architecture Search Considering the Number of Weights. - Fuyuka Yamada; Satoki Tsuji; Hiroshi Kawaguchi 001; Atsuki Inoue; Yasufumi Sakai (KI, 2021)

Accelerating LiNGAM Causal Discovery with Massive Parallel Execution on Supercomputer Fugaku. - Kazuhito Matsuda; Kouji Kurihara; Kentaro Kawakami; Masafumi Yamazaki; Fuyuka Yamada; Tsuguchika Tabaru; Ken Yokoyama (IEICE Trans. Inf. Syst., 2022)

Optimization of NumPy Transcendental Functions for Arm SVE. - Fuyuka Yamada; Kentaro Kawakami; Kouji Kurihara; Kazuhito Matsuda; Tsuguchika Tabaru (HPC Asia Workshops, 2023)

Greedy search algorithm for partial quantization of convolutional neural networks inspired by submodular optimization. - Satoki Tsuji; Fuyuka Yamada; Hiroshi Kawaguchi 001; Atsuki Inoue; Yasufumi Sakai (Neural Comput. Appl., 2025)