Scholar
Naoki Nishikawa
Google Scholar ID: JGwf2FAAAAAJ
The University of Tokyo
Machine Learning
Optimization
Topological Data Analysis
Follow
Homepage
↗
Google Scholar
↗
Citations & Impact
All-time
Citations
20
H-index
2
i10-index
0
Publications
8
Co-authors
4
list available
Contact
No contact links provided.
Publications
8 items
Escaping Iterative Parameter-Space Noise: Differentially Private Learning with a Hypernetwork
2026
Cited
0
Persistence-based topological optimization: a survey
2026
Cited
0
Dataset Distillation Efficiently Encodes Low-Dimensional Representations from Gradient-Based Learning of Non-Linear Tasks
2026
Cited
0
From Shortcut to Induction Head: How Data Diversity Shapes Algorithm Selection in Transformers
2025
Cited
0
Degrees of Freedom for Linear Attention: Distilling Softmax Attention with Optimal Feature Efficiency
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
Cited
0
State Space Models are Provably Comparable to Transformers in Dynamic Token Selection
2024
Cited
1
Resume (English only)
Co-authors
4 total
Denny Wu
New York University
Taiji Suzuki
The University of Tokyo
Atsushi Nitanda
CFAR, A*STAR / Nanyang Technological University
Yuichi Ike
Graduate School of Mathematical Sciences, The University of Tokyo
