Tan Minh Nguyen
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
23
Venues
5
Active years
2022–2025
Best venue rank
A*
Where they publish
Papers
23 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | Transformer Meets Twicing: Harnessing Unattended Residual Information. | Laziz U. Abdullaev, Tan Minh Nguyen |
| 2025 | ICLR | CAMEx: Curvature-aware Merging of Experts. | Viet Dung Nguyen, Minh Nguyen Hoang, Luc Q. Nguyen, Rachel S. Y. Teo, Tan Minh Nguyen, Linh Duy Tran |
| 2025 | ICLR | Tight Clusters Make Specialized Experts. | Stefan K. Nielsen, Rachel S. Y. Teo, Laziz U. Abdullaev, Tan Minh Nguyen |
| 2025 | ICLR | MoLEx: Mixture of Layer Experts for Fine-tuning with Sparse Upcycling. | Rachel S. Y. Teo, Tan Minh Nguyen |
| 2025 | ICLR | Spherical Tree-Sliced Wasserstein Distance. | Hoang V. Tran, Thanh T. Chu, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Tam Le, Tan Minh Nguyen |
| 2025 | ICLR | Distance-Based Tree-Sliced Wasserstein Distance. | Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh T. Chu, Tam Le, Tan Minh Nguyen |
| 2025 | ICLR | Equivariant Neural Functional Networks for Transformers. | Hoang V. Tran, Thieu Vo, An Nguyen The, Tho Tran Huu, Minh-Khoi Nguyen-Nhat, Thanh Tran, Duy-Tung Pham, Tan Minh Nguyen |
| 2025 | ICLR | Demystifying the Token Dynamics of Deep Selective State Space Models. | Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan Minh Nguyen |
| 2025 | ICML | Promoting Ensemble Diversity with Interactive Bayesian Distributional Robustness for Fine-tuning Foundation Models. | Ngoc-Quan Pham, Tuan Truong, Quyen Tran, Tan Minh Nguyen, Dinh Phung, Trung Le |
| 2025 | ICML | Tree-Sliced Wasserstein Distance: A Geometric Perspective. | Hoang V. Tran, Huyen Trang Pham, Tho Tran Huu, Minh-Khoi Nguyen-Nhat, Thanh T. Chu, Tam Le, Tan Minh Nguyen |
| 2025 | ICML | Tree-Sliced Wasserstein Distance with Nonlinear Projection. | Thanh Tran, Hoang V. Tran, Thanh T. Chu, Huyen Trang Pham, Laurent El Ghaoui, Tam Le, Tan Minh Nguyen |
| 2025 | ICML | Equivariant Polynomial Functional Networks. | Thieu Vo, Hoang V. Tran, Tho Tran Huu, An Nguyen The, Thanh Tran, Minh-Khoi Nguyen-Nhat, Duy-Tung Pham, Tan Minh Nguyen |
| 2025 | JURIX | Argumentative LLMs for Legal Information Entailment. | Charlie Lindsay, Francesca Toni, Tien Dat Nguyen, Tan Minh Nguyen, Trang Pham Ngoc Anh, Quang-Huy Chu, Hoang Nhat Nguyen, Le Minh Nguyen |
| 2024 | AISTATS | From Coupled Oscillators to Graph Neural Networks: Reducing Over-smoothing via a Kuramoto Model-based Approach. | Tuan Nguyen, Hirotada Honda, Takashi Sano, Vinh Nguyen, Shugo Nakamura, Tan Minh Nguyen |
| 2024 | ICLR | Beyond Vanilla Variational Autoencoders: Detecting Posterior Collapse in Conditional and Hierarchical Variational Autoencoders. | Hien Dang, Tho Tran Huu, Tan Minh Nguyen, Nhat Ho |
| 2024 | ICML | Neural Collapse for Cross-entropy Class-Imbalanced Learning with Unconstrained ReLU Features Model. | Hien Dang, Tho Tran Huu, Tan Minh Nguyen, Nhat Ho |
| 2024 | ICML | PIDformer: Transformer Meets Control Theory. | Tam Minh Nguyen, Csar A. Uribe, Tan Minh Nguyen, Richard G. Baraniuk |
| 2024 | UAI | Revisiting Kernel Attention with Correlated Gaussian Process Representation. | Long Minh Bui, Tho Tran Huu, Duy Dinh, Tan Minh Nguyen, Trong Nghia Hoang |
| 2023 | ICLR | A Primal-Dual Framework for Transformers and Neural Networks. | Tan Minh Nguyen, Tam Minh Nguyen, Nhat Ho, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher |
| 2023 | ICML | Neural Collapse in Deep Linear Networks: From Balanced to Imbalanced Data. | Hien Dang, Tho Tran Huu, Stanley J. Osher, Hung Tran-The, Nhat Ho, Tan Minh Nguyen |
| 2023 | ICML | Revisiting Over-smoothing and Over-squashing Using Ollivier-Ricci Curvature. | Khang Nguyen, Nong Minh Hieu, Vinh Duc Nguyen, Nhat Ho, Stanley J. Osher, Tan Minh Nguyen |
| 2022 | ICLR | GRAND++: Graph Neural Diffusion with A Source Term. | Matthew Thorpe, Tan Minh Nguyen, Hedi Xia, Thomas Strohmer, Andrea L. Bertozzi, Stanley J. Osher, Bao Wang |
| 2022 | ICML | Improving Transformers with Probabilistic Attention Keys. | Tam Minh Nguyen, Tan Minh Nguyen, Dung D. Le, Duy Khuong Nguyen, Viet-Anh Tran, Richard G. Baraniuk, Nhat Ho, Stanley J. Osher |