The Effect of Batch Normalization in the Symmetric Phase. - Shiro Takagi; Yuki Yoshida; Masato Okada (ICANN (2), 2020)

Analysis of Trainability of Gradient-based Multi -environment Learning from Gradient Norm Regularization Perspective. - Shiro Takagi; Yoshihiro Nagano; Yuki Yoshida; Masato Okada (IJCNN, 2021)

Statistical Mechanical Analysis of Catastrophic Forgetting in Continual Learning with Teacher and Student Networks. - Haruka Asanuma; Shiro Takagi; Yoshihiro Nagano; Yuki Yoshida; Yasuhiko Igarashi; Masato Okada (CoRR, 2021)

Image recognition via Vietoris-Rips complex. - Yasuhiko Asao; Jumpei Nagase; Ryotaro Sakamoto; Shiro Takagi (CoRR, 2021)

On the Effect of Pre-training for Transformer in Different Modality on Offline Reinforcement Learning. - Shiro Takagi (NeurIPS, 2022)

Convergence of neural networks to Gaussian mixture distribution. - Yasuhiko Asao; Ryotaro Sakamoto; Shiro Takagi (CoRR, 2022)

Towards Autonomous Hypothesis Verification via Language Models with Minimal Guidance. - Shiro Takagi; Ryutaro Yamauchi; Wataru Kumagai (CoRR, 2023)

Speculative Exploration on the Concept of Artificial Agents Conducting Autonomous Research. - Shiro Takagi (CoRR, 2023)

Empirical Study on Optimizer Selection for Out-of-Distribution Generalization. - Hiroki Naganuma; Kartik Ahuja; Shiro Takagi; Tetsuya Motokawa; Rio Yokota; Kohta Ishikawa; Ikuro Sato; Ioannis Mitliagkas (Trans. Mach. Learn. Res., 2023)

A Dataset for Evaluating LLM-based Evaluation Functions for Research Question Extraction Task. - Yuya Fujisaki; Shiro Takagi; Hideki Asoh; Wataru Kumagai (CoRR, 2024)