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2025

1.

Tsukasa Yamakura, Kazushi Kawamura, Daichi Fujiki, Masato Motomura, Thiem Van Chu

Accelerating Decision Forest Training via Node-Level Random Data Sampling Workshop

Asia and South Pacific Design Automation Conference (ASP-DAC), WIP Poster, 2025.

BibTeX | タグ: Awards, Talks

2024

2.

Hikari Otsuka, Daiki Chijiwa, 'Angel L'opez Garc'ia-Arias, Yasuyuki Okoshi, Kazushi Kawamura, Thiem Van Chu, Daichi Fujiki, Susumu Takeuchi, Masato Motomura

Partially Frozen Random Networks Contain Compact Strong Lottery Tickets Workshop

Workshop on Machine Learning and Compression, NeurIPS, 2024.

Links | BibTeX | タグ: Talks

3.

Ángel López García-Arias, Yasuyuki Okoshi, Hikari Otsuka, Daiki Chijiwa, Yasuhiro Fujiwara, Susumu Takeuchi, Masato Motomura

The Trichromatic Strong Lottery Ticket Hypothesis: Neural Compression With Three Primary Supermasks Workshop

Workshop on Machine Learning and Compression, NeurIPS, 2024.

Links | BibTeX | タグ: Awards, Talks

4.

Tsukasa Yamakura, Kazushi Kawamura, Daichi Fujiki, Masato Motomura, Thiem Van Chu

GPB: An Efficient GBDT Training Method with Tree-Level Parallelism Using Binary Feature Decomposition Workshop

IEEE/ACM International Symposium on Microarchitecture (MICRO), Student Research Competition, 2024.

BibTeX | タグ: Talks

5.

Akira Hyodo, Satoru Jimbo, Daiki Okonogi, Genta Inoue, Thiem Chua, Masato Motomura, Kazushi Kawamura

A Parallel-trial Double-update Annealing Algorithm for Enabling Highly-effective State Transition on Annealing Processors Workshop

2024.

Links | BibTeX | タグ: Talks

2021

6.

本村 真人

学習/数理モデルに基づく時空間展開型アーキテクチャの創出と応用 Presentation

FIT2021, 27.08.2021.

BibTeX | タグ: Talks