Scholar
Ryotaro Kawata
Google Scholar ID: MJvufWcAAAAJ
The University of Tokyo
Machine Learning
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Citations
1
H-index
1
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Publications
3
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0
Publications
9 items
Finite-Sample Approximation of Hessian-Guided Perturbed Wasserstein Gradient Flows
2026
Cited
0
Diffusion Transformers are Provably Optimal In-context Generators
2026
Cited
0
Counterfactual Probing for Parallel Unmasking with Hidden Forest Structure
2026
Cited
0
How Neural Reward Models Learn Features for Policy Optimization: A Single-Index Analysis
2026
Cited
0
Transformers as Measure-Theoretic Associative Memory: A Statistical Perspective and Minimax Optimality
2026
Cited
0
From Shortcut to Induction Head: How Data Diversity Shapes Algorithm Selection in Transformers
2025
Cited
0
Mixture of Experts Provably Detect and Learn the Latent Cluster Structure in Gradient-Based Learning
2025
Cited
0
When Does Metadata Conditioning (NOT) Work for Language Model Pre-Training? A Study with Context-Free Grammars
2025
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0
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