Van Chu, Thiem

7 publications

NeurIPS 2025 Binary Quadratic Quantization: Beyond First-Order Quantization for Real-Valued Matrix Compression Kyo Kuroki, Yasuyuki Okoshi, Thiem Van Chu, Kazushi Kawamura, Masato Motomura

TMLR 2025 Partially Frozen Random Networks Contain Compact Strong Lottery Tickets Hikari Otsuka, Daiki Chijiwa, Ángel López García-Arias, Yasuyuki Okoshi, Kazushi Kawamura, Thiem Van Chu, Daichi Fujiki, Susumu Takeuchi, Masato Motomura

TMLR 2025 Uncovering Strong Lottery Tickets in Graph Transformers: A Path to Memory Efficient and Robust Graph Learning Hiroaki Ito, Jiale Yan, Hikari Otsuka, Kazushi Kawamura, Masato Motomura, Thiem Van Chu, Daichi Fujiki

NeurIPSW 2024 Partially Frozen Random Networks Contain Compact Strong Lottery Tickets Hikari Otsuka, Daiki Chijiwa, Ángel López García-Arias, Yasuyuki Okoshi, Kazushi Kawamura, Thiem Van Chu, Daichi Fujiki, Susumu Takeuchi, Masato Motomura

TMLR 2024 Restricted Random Pruning at Initialization for High Compression Range Hikari Otsuka, Yasuyuki Okoshi, Ángel López García-Arias, Kazushi Kawamura, Thiem Van Chu, Daichi Fujiki, Masato Motomura

LoG 2023 Multicoated and Folded Graph Neural Networks with Strong Lottery Tickets Jiale Yan, Hiroaki Ito, Ángel López García-Arias, Yasuyuki Okoshi, Hikari Otsuka, Kazushi Kawamura, Thiem Van Chu, Masato Motomura

ICML 2022 Multicoated Supermasks Enhance Hidden Networks Yasuyuki Okoshi, Ángel López Garcı́a-Arias, Kazutoshi Hirose, Kota Ando, Kazushi Kawamura, Thiem Van Chu, Masato Motomura, Jaehoon Yu