Hikari Otsuka

According to our database, Hikari Otsuka authored at least 12 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Memory-Efficient and Trustworthy Neural Networks via Random Seed-Based Design.

Hiroaki Ito, Hikari Otsuka, Ryota Yasudo, Zhiqiang Que, José Gabriel F. Coutinho, Daichi Fujiki, Masato Motomura, Ce Guo, Wayne Luk

IEEE Access, 2026

A 22nm Continual Learning Accelerator for Autonomous Systems with 69.2TOPS/W Dynamic-Sparse-Weight-Updat and Dual-Mode Vector-Scaled-INT4 Processing.

Junnosuke Suzuki, Takuma Ishibashi, Hikari Otsuka, Yasuyuki Okoshi, Kota Ando, Daichi Fujiki, Masato Motomura

Proceedings of the IEEE Custom Integrated Circuits Conference, 2026

The Strong Lottery Ticket Hypothesis for Multi-Head Attention Mechanisms.

Hikari Otsuka, Daiki Chijiwa, Yasuyuki Okoshi, Daichi Fujiki, Susumu Takeuchi, Masato Motomura

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

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

Trans. Mach. Learn. Res., 2025

TicketLLM: Next-Generation Sparse and Low-bit Transformers with Supermask-based Method.

Yasuyuki Okoshi, Hikari Otsuka, Daichi Fujiki, Masato Motomura

Trans. Mach. Learn. Res., 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

Trans. Mach. Learn. Res., 2025

WhiteDwarf: A Holistic Co-Design Approach to Ultra-Compact Neural Inference Acceleration.

Ángel López García-Arias, Yasuyuki Okoshi, Jaehoon Yu, Junnosuke Suzuki, Hikari Otsuka, Kazushi Kawamura, Thiem Van Chu, Daichi Fujiki, Masato Motomura

IEEE Access, 2025

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

Trans. Mach. Learn. Res., 2024

Partial Search in a Frozen Network is Enough to Find a Strong Lottery Ticket.

Hikari Otsuka, Daiki Chijiwa, Ángel López García-Arias, Yasuyuki Okoshi, Kazushi Kawamura, Thiem Van Chu, Daichi Fujiki, Susumu Takeuchi, Masato Motomura

CoRR, 2024

Exploiting N:M Sparsity in Quantized-Folded ResNets: Signed Multicoat Supermasks and Iterative Pruning-Quantization.

Akihiro Shioda, Ángel López García-Arias, Hikari Otsuka, Yuki Ichikawa, Yasuyuki Okoshi, Kazushi Kawamura, Thiem Van Chu, Daichi Fujiki, Masato Motomura

Proceedings of the Twelfth International Symposium on Computing and Networking, 2024

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.

Yasuyuki Okoshi, Ángel López García-Arias, Jaehoon Yu, Junnosuke Suzuki, Hikari Otsuka, Thiem Van Chu, Kazushi Kawamura, Daichi Fujiki, Masato Motomura

Proceedings of the IEEE Asian Solid-State Circuits Conference, 2024

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

Proceedings of the Learning on Graphs Conference, 27-30 November 2023, Virtual Event., 2023