Tan Minh Nguyen

34 papers A* 21A 2C 1Journal 9Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	C	`conf`	Argumentative LLMs for Legal Information Entailment. JURIX Charlie Lindsay, Francesca Toni, Tien Dat Nguyen, Tan Minh Nguyen, Trang Pham Ngoc Anh, Quang-Huy Chu, Hoang Nhat Nguyen, Le Minh Nguyen
2025	A*	`conf`	CAMEx: Curvature-aware Merging of Experts. ICLR Viet Dung Nguyen, Minh Nguyen Hoang, Luc Q. Nguyen, Rachel S. Y. Teo, Tan Minh Nguyen, Linh Duy Tran
2025	A*	`conf`	Demystifying the Token Dynamics of Deep Selective State Space Models. ICLR Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan Minh Nguyen
2025	A*	`conf`	Distance-Based Tree-Sliced Wasserstein Distance. ICLR Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh T. Chu, Tam Le, Tan Minh Nguyen
2025	A*	`conf`	Equivariant Neural Functional Networks for Transformers. ICLR Hoang V. Tran, Thieu Vo, An Nguyen The, Tho Tran Huu, Minh-Khoi Nguyen-Nhat, Thanh Tran, Duy-Tung Pham, Tan Minh Nguyen
2025	A*	`conf`	Equivariant Polynomial Functional Networks. ICML Thieu Vo, Hoang V. Tran, Tho Tran Huu, An Nguyen The, Thanh Tran, Minh-Khoi Nguyen-Nhat, Duy-Tung Pham, Tan Minh Nguyen
2025	A*	`conf`	MoLEx: Mixture of Layer Experts for Fine-tuning with Sparse Upcycling. ICLR Rachel S. Y. Teo, Tan Minh Nguyen
2025	J	`jnl`	Modeling Expert Interactions in Sparse Mixture of Experts via Graph Structures. CoRR Minh-Khoi Nguyen-Nhat, Rachel S. Y. Teo, Laziz U. Abdullaev, Maurice Mok, Viet-Hoang Tran, Tan Minh Nguyen
2025	A*	`conf`	Promoting Ensemble Diversity with Interactive Bayesian Distributional Robustness for Fine-tuning Foundation Models. ICML Ngoc-Quan Pham, Tuan Truong, Quyen Tran, Tan Minh Nguyen, Dinh Phung, Trung Le
2025	J	`jnl`	Resolving Memorization in Empirical Diffusion Model for Manifold Data in High-Dimensional Spaces. CoRR Yang Lyu, Yuchun Qian, Tan Minh Nguyen, Xin T. Tong
2025	J	`jnl`	Revisiting Kernel Attention with Correlated Gaussian Process Representation. CoRR Long Minh Bui, Tho Tran Huu, Duy Dinh, Tan Minh Nguyen, Trong Nghia Hoang
2025	A*	`conf`	Spherical Tree-Sliced Wasserstein Distance. ICLR Hoang V. Tran, Thanh T. Chu, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Tam Le, Tan Minh Nguyen
2025	A*	`conf`	Tight Clusters Make Specialized Experts. ICLR Stefan K. Nielsen, Rachel S. Y. Teo, Laziz U. Abdullaev, Tan Minh Nguyen
2025	A*	`conf`	Transformer Meets Twicing: Harnessing Unattended Residual Information. ICLR Laziz U. Abdullaev, Tan Minh Nguyen
2025	A*	`conf`	Tree-Sliced Wasserstein Distance with Nonlinear Projection. ICML Thanh Tran, Hoang V. Tran, Thanh T. Chu, Huyen Trang Pham, Laurent El Ghaoui, Tam Le, Tan Minh Nguyen
2025	A*	`conf`	Tree-Sliced Wasserstein Distance: A Geometric Perspective. ICML Hoang V. Tran, Huyen Trang Pham, Tho Tran Huu, Minh-Khoi Nguyen-Nhat, Thanh T. Chu, Tam Le, Tan Minh Nguyen
2024	J	`jnl`	A Clifford Algebraic Approach to E(n)-Equivariant High-order Graph Neural Networks. CoRR Hoang-Viet Tran, Thieu N. Vo, Tho Tran Huu, Tan Minh Nguyen
2024	A*	`conf`	Beyond Vanilla Variational Autoencoders: Detecting Posterior Collapse in Conditional and Hierarchical Variational Autoencoders. ICLR Hien Dang, Tho Tran Huu, Tan Minh Nguyen, Nhat Ho
2024	J	`jnl`	Demystifying the Token Dynamics of Deep Selective State Space Models. CoRR Thieu N. Vo, Tung D. Pham, Xin T. Tong, Tan Minh Nguyen
2024	J	`jnl`	Equivariant Neural Functional Networks for Transformers. CoRR Viet-Hoang Tran, Thieu N. Vo, An Nguyen The, Tho Tran Huu, Minh-Khoi Nguyen-Nhat, Thanh Tran, Duy-Tung Pham, Tan Minh Nguyen
2024	J	`jnl`	Equivariant Polynomial Functional Networks. CoRR Thieu N. Vo, Viet-Hoang Tran, Tho Tran Huu, An Nguyen The, Thanh Tran, Minh-Khoi Nguyen-Nhat, Duy-Tung Pham, Tan Minh Nguyen
2024	A	`conf`	From Coupled Oscillators to Graph Neural Networks: Reducing Over-smoothing via a Kuramoto Model-based Approach. AISTATS Tuan Nguyen, Hirotada Honda, Takashi Sano, Vinh Nguyen, Shugo Nakamura, Tan Minh Nguyen
2024	A*	`conf`	Monomial Matrix Group Equivariant Neural Functional Networks. NeurIPS Hoang V. Tran, Thieu N. Vo, Tho Huu, An Nguyen The, Tan Minh Nguyen
2024	J	`jnl`	Monomial Matrix Group Equivariant Neural Functional Networks. CoRR Hoang V. Tran, Thieu N. Vo, Tho H. Tran, An T. Nguyen, Tan Minh Nguyen
2024	A*	`conf`	Neural Collapse for Cross-entropy Class-Imbalanced Learning with Unconstrained ReLU Features Model. ICML Hien Dang, Tho Tran Huu, Tan Minh Nguyen, Nhat Ho
2024	A*	`conf`	PIDformer: Transformer Meets Control Theory. ICML Tam Minh Nguyen, César A. Uribe, Tan Minh Nguyen, Richard G. Baraniuk
2024	A	`conf`	Revisiting Kernel Attention with Correlated Gaussian Process Representation. UAI Long Minh Bui, Tho Tran Huu, Duy Dinh, Tan Minh Nguyen, Trong Nghia Hoang
2023	A*	`conf`	A Primal-Dual Framework for Transformers and Neural Networks. ICLR Tan Minh Nguyen, Tam Minh Nguyen, Nhat Ho, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher
2023	A*	`conf`	Neural Collapse in Deep Linear Networks: From Balanced to Imbalanced Data. ICML Hien Dang, Tho Tran Huu, Stanley J. Osher, Hung Tran-The, Nhat Ho, Tan Minh Nguyen
2023	A*	`conf`	Revisiting Over-smoothing and Over-squashing Using Ollivier-Ricci Curvature. ICML Khang Nguyen, Nong Minh Hieu, Vinh Duc Nguyen, Nhat Ho, Stanley J. Osher, Tan Minh Nguyen
2022	A*	`conf`	GRAND++: Graph Neural Diffusion with A Source Term. ICLR Matthew Thorpe, Tan Minh Nguyen, Hedi Xia, Thomas Strohmer, Andrea L. Bertozzi, Stanley J. Osher, Bao Wang
2022	A*	`conf`	Improving Transformers with Probabilistic Attention Keys. ICML Tam Minh Nguyen, Tan Minh Nguyen, Dung D. Le, Duy Khuong Nguyen, Viet-Anh Tran, Richard G. Baraniuk, Nhat Ho, Stanley J. Osher
2022	—	`conf`	Momentum Transformer: Closing the Performance Gap Between Self-attention and Its Linearization. MSML Tan Minh Nguyen, Richard G. Baraniuk, Robert M. Kirby, Stanley J. Osher, Bao Wang
2022	J	`jnl`	Robustify Transformers with Robust Kernel Density Estimation. CoRR Xing Han, Tongzheng Ren, Tan Minh Nguyen, Khai Nguyen, Joydeep Ghosh, Nhat Ho