Satoki Ishikawa

11 papers A* 3Journal 7Unranked 1
YearRankTypeTitle / Venue / Authors
2025 A* conf
Local Loss Optimization in the Infinite Width: Stable Parameterization of Predictive Coding Networks and Target Propagation.
ICLR
Satoki Ishikawa, Rio Yokota, Ryo Karakida
2025 J jnl
Optimal Sparsity of Mixture-of-Experts Language Models for Reasoning Tasks.
CoRR
Taishi Nakamura, Satoki Ishikawa, Masaki Kawamura, Takumi Okamoto, Daisuke Nohara, Jun Suzuki, Rio Yokota
2025 J jnl
PhiNet v2: A Mask-Free Brain-Inspired Vision Foundation Model from Video.
CoRR
Makoto Yamada, Kian Ming A. Chai, Ayoub Rhim, Satoki Ishikawa, Mohammad Sabokrou, Yao-Hung Hubert Tsai
2025 A* conf
PhiNets: Brain-inspired Non-contrastive Learning Based on Temporal Prediction Hypothesis.
ICLR
Satoki Ishikawa, Makoto Yamada, Han Bao, Yuki Takezawa
2024 J jnl
Lion Cub: Minimizing Communication Overhead in Distributed Lion.
CoRR
Satoki Ishikawa, Tal Ben-Nun, Brian Van Essen, Rio Yokota, Nikoli Dryden
2024 J jnl
Local Loss Optimization in the Infinite Width: Stable Parameterization of Predictive Coding Networks and Target Propagation.
CoRR
Satoki Ishikawa, Rio Yokota, Ryo Karakida
2024 A* conf
On the Parameterization of Second-Order Optimization Effective towards the Infinite Width.
ICLR
Satoki Ishikawa, Ryo Karakida
2024 J jnl
PhiNets: Brain-inspired Non-contrastive Learning Based on Temporal Prediction Hypothesis.
CoRR
Satoki Ishikawa, Makoto Yamada, Han Bao, Yuki Takezawa
2024 — conf
When Does Second-Order Optimization Speed Up Training?
Tiny Papers @ ICLR
Satoki Ishikawa, Rio Yokota
2023 J jnl
ASDL: A Unified Interface for Gradient Preconditioning in PyTorch.
CoRR
Kazuki Osawa, Satoki Ishikawa, Rio Yokota, Shigang Li, Torsten Hoefler
2023 J jnl
On the Parameterization of Second-Order Optimization Effective Towards the Infinite Width.
CoRR
Satoki Ishikawa, Ryo Karakida