Satoki Ishikawa

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Satoki Ishikawa, Ryo Karakida. On the Parameterization of Second-Order Optimization Effective Towards the Infinite Width. ICLR2024
- arxiv [link]
Satoki Ishikawa, Rio Yokota. When Does Second-Order Optimization Speed Up Training?. ICLR2024 TinyPaper Track
- openreview [link]
Kazuki Osawa, Satoki Ishikawa, Rio Yokota, Shigang Li, Torsten Hoefler. ASDL: A Unified Interface for Gradient Preconditioning in PyTorch. HOOML2022.
- HOOML2022 [link]
- arxiv [link]

Satoki Ishikawa, Rio Yokota, Satoki Ishikawa. Local Loss Optimization in the Infinite Width: Stable Parameterization of Predictive Coding Networks and Target Propagation
- arxiv [link]

Satoki Ishikawa, Makoto Yamada, Han Bao, Yuki Takezawa. PhiNets: Brain-inspired Non-contrastive Learning Based on Temporal Prediction Hypothesis
- arxiv [link]