Hikari Otsuka

13 papers A* 1Journal 9Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Memory-Efficient and Trustworthy Neural Networks via Random Seed-Based Design.
IEEE Access
Hiroaki Ito, Hikari Otsuka, Ryota Yasudo, Zhiqiang Que, José Gabriel F. Coutinho, Daichi Fujiki, Masato Motomura, Ce Guo, Wayne Luk
2026 A* conf
The Strong Lottery Ticket Hypothesis for Multi-Head Attention Mechanisms.
AAAI
Hikari Otsuka, Daiki Chijiwa, Yasuyuki Okoshi, Daichi Fujiki, Susumu Takeuchi, Masato Motomura
2025 J jnl
Partially Frozen Random Networks Contain Compact Strong Lottery Tickets.
Trans. Mach. Learn. Res.
Hikari Otsuka, Daiki Chijiwa, Ángel López García-Arias, Yasuyuki Okoshi, Kazushi Kawamura, Thiem Van Chu, Daichi Fujiki, Susumu Takeuchi, Masato Motomura
2025 J jnl
The Strong Lottery Ticket Hypothesis for Multi-Head Attention Mechanisms.
CoRR
Hikari Otsuka, Daiki Chijiwa, Yasuyuki Okoshi, Daichi Fujiki, Susumu Takeuchi, Masato Motomura
2025 J jnl
TicketLLM: Next-Generation Sparse and Low-bit Transformers with Supermask-based Method.
Trans. Mach. Learn. Res.
Yasuyuki Okoshi, Hikari Otsuka, Daichi Fujiki, Masato Motomura
2025 J jnl
Uncovering Strong Lottery Tickets in Graph Transformers: A Path to Memory Efficient and Robust Graph Learning.
Trans. Mach. Learn. Res.
Hiroaki Ito, Jiale Yan, Hikari Otsuka, Kazushi Kawamura, Masato Motomura, Thiem Van Chu, Daichi Fujiki
2025 J jnl
WhiteDwarf: A Holistic Co-Design Approach to Ultra-Compact Neural Inference Acceleration.
IEEE Access
Ángel López García-Arias, Yasuyuki Okoshi, Jaehoon Yu, Junnosuke Suzuki, Hikari Otsuka, Kazushi Kawamura, Thiem Van Chu, Daichi Fujiki, Masato Motomura
2024 — conf
Exploiting N:M Sparsity in Quantized-Folded ResNets: Signed Multicoat Supermasks and Iterative Pruning-Quantization.
CANDAR
Akihiro Shioda, Ángel López García-Arias, Hikari Otsuka, Yuki Ichikawa, Yasuyuki Okoshi, Kazushi Kawamura, Thiem Van Chu, Daichi Fujiki, Masato Motomura
2024 J jnl
Partial Search in a Frozen Network is Enough to Find a Strong Lottery Ticket.
CoRR
Hikari Otsuka, Daiki Chijiwa, Ángel López García-Arias, Yasuyuki Okoshi, Kazushi Kawamura, Thiem Van Chu, Daichi Fujiki, Susumu Takeuchi, Masato Motomura
2024 J jnl
Restricted Random Pruning at Initialization for High Compression Range.
Trans. Mach. Learn. Res.
Hikari Otsuka, Yasuyuki Okoshi, Ángel López García-Arias, Kazushi Kawamura, Thiem Van Chu, Daichi Fujiki, Masato Motomura
2024 — conf
WhiteDwarf: 12.24 TFLOPS/W 40 nm Versatile Neural Inference Engine for Ultra-Compact Execution of CNNs and MLPs Through Triple Unstructured Sparsity Exploitation and Triple Model Compression.
A-SSCC
Yasuyuki Okoshi, Ángel López García-Arias, Jaehoon Yu, Junnosuke Suzuki, Hikari Otsuka, Thiem Van Chu, Kazushi Kawamura, Daichi Fujiki, Masato Motomura
2023 — conf
Multicoated and Folded Graph Neural Networks With Strong Lottery Tickets.
LoG
Jiale Yan, Hiroaki Ito, Ángel López García-Arias, Yasuyuki Okoshi, Hikari Otsuka, Kazushi Kawamura, Thiem Van Chu, Masato Motomura
2023 J jnl
Multicoated and Folded Graph Neural Networks with Strong Lottery Tickets.
CoRR
Jiale Yan, Hiroaki Ito, Ángel López García-Arias, Yasuyuki Okoshi, Hikari Otsuka, Kazushi Kawamura, Thiem Van Chu, Masato Motomura