Tan Minh Nguyen
Scholar

Tan Minh Nguyen

Google Scholar ID: OizOh88AAAAJ
National University of Singapore
Machine LearningDeep LearningApplied Mathematics
Homepage↗Google Scholar↗
Citations & Impact
All-time
Citations
1,227
 
H-index
19
 
i10-index
25
 
Publications
20
 
Co-authors
6
list available
Contact
Emailtanmn@nus.edu.sgCVOpen ↗GitHubOpen ↗
Publications
7 items
Modeling Expert Interactions in Sparse Mixture of Experts via Graph Structures
2025
Cited
0
Resolving Memorization in Empirical Diffusion Model for Manifold Data in High-Dimensional Spaces
2025
Cited
0
Revisiting Kernel Attention with Correlated Gaussian Process Representation
2025
Cited
2
A Clifford Algebraic Approach to E(n)-Equivariant High-order Graph Neural Networks
arXiv.org · 2024
Cited
0
Equivariant Neural Functional Networks for Transformers
arXiv.org · 2024
Cited
5
Demystifying the Token Dynamics of Deep Selective State Space Models
arXiv.org · 2024
Cited
0
Monomial Matrix Group Equivariant Neural Functional Networks
Neural Information Processing Systems · 2024
Cited
2
Resume (English only)
Background
  • Research Interests: Three important components of modern AI - Deep Models, Learning, and Adaptation (DeepLEAD). Leverage tools from machine learning, optimization, differential equations, statistics, and algebra to understand and advance these three components, aiming to achieve Robust, Interpretable, Scalable, and Efficient AI (RISE AI).
Miscellany
  • Personal Blog: Almost Convergent
Co-authors
6 total
Richard Baraniuk
Richard Baraniuk
C. Sidney Burrus Professor, Electrical & Computer Engineering, Rice University
S osher
S osher
Unknown affiliation
Nhat Ho
Nhat Ho
Assistant Professor at University of Texas, Austin
Anima Anandkumar
Anima Anandkumar
California Institute of Technology and NVIDIA
Yingyan (Celine) Lin
Yingyan (Celine) Lin
Associate Professor, Georgia Institute of Technology
Animesh Garg
Animesh Garg
Georgia Institute of Technology, University of Toronto