Nguyen, Tan Minh

40 publications

ICLR 2026 Activation Steering with a Feedback Controller Dung Viet Nguyen, Yen Nhi Pham, Hieu M. Vu, Lei Zhang, Tan Minh Nguyen

ICLR 2026 Expert Merging in Sparse Mixture of Experts with Nash Bargaining Dung Viet Nguyen, Anh Nguyen Thi, Minh Hoang Nguyen, Luc Nguyen, Shiqi Jiang, Ethan Fetaya, Linh Duy Tran, Gal Chechik, Tan Minh Nguyen

ICLR 2026 Mixed-Curvature Tree-Sliced Wasserstein Distance Duy-Tung Pham, Viet-Hoang Tran, Thieu Vo, Tan Minh Nguyen

ICLR 2026 Quasi-Equivariant Metanetworks Viet-Hoang Tran, An Nguyen The, Benoît Guérand, Thieu Vo, Tan Minh Nguyen

ICLR 2026 Revisiting Tree-Sliced Wasserstein Distance Through the Lens of the Fermat–Weber Problem Viet-Hoang Tran, Thanh Tran, Thanh Chu, Trung-Khang Tran, Duy-Tung Pham, Tam Le, Tan Minh Nguyen

ICLR 2026 Tree-Sliced Sobolev IPM Viet-Hoang Tran, Thanh Tran, Thanh Chu, Duy-Tung Pham, Trung-Khang Tran, Tam Le, Tan Minh Nguyen

NeurIPS 2025 Angular Steering: Behavior Control via Rotation in Activation Space Hieu M. Vu, Tan Minh Nguyen

ICLR 2025 CAMEx: Curvature-Aware Merging of Experts Viet Dung Nguyen, Minh Nguyen Hoang, Luc Nguyen, Rachel Teo, Tan Minh Nguyen, Linh Duy Tran

ICLRW 2025 CAMEx: Curvature-Aware Merging of Experts Dung Viet Nguyen, Minh Hoang Nguyen, Luc Nguyen, Rachel S.Y. Teo, Tan Minh Nguyen, Linh Duy Tran

ICLR 2025 Demystifying the Token Dynamics of Deep Selective State Space Models Thieu Vo, Duy-Tung Pham, Xin T. Tong, Tan Minh Nguyen

ICLRW 2025 Demystifying the Token Dynamics of Deep Selective State Space Models Thieu Vo, Duy-Tung Pham, Xin T. Tong, Tan Minh Nguyen

ICLR 2025 Distance-Based Tree-Sliced Wasserstein Distance Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan Minh Nguyen

ICLRW 2025 Distance-Based Tree-Sliced Wasserstein Distance Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan Minh Nguyen

NeurIPS 2025 Dynamical Properties of Tokens in Self-Attention and Effects of Positional Encoding Duy-Tung Pham, An Nguyen The, Viet-Hoang Tran, Nhan-Phu Chung, Xin T. Tong, Tan Minh Nguyen, Thieu Vo

ICLR 2025 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

ICLRW 2025 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

ICML 2025 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

ICLR 2025 MoLEx: Mixture of Layer Experts for Fine-Tuning with Sparse Upcycling Rachel Teo, Tan Minh Nguyen

ICLRW 2025 MoLEx: Mixture of Layer Experts for Finetuning with Sparse Upcycling Rachel S.Y. Teo, Tan Minh Nguyen

NeurIPS 2025 On Linear Mode Connectivity of Mixture-of-Experts Architectures Viet-Hoang Tran, Van-Hoan Trinh, Khanh Vinh Bui, Tan Minh Nguyen

ICML 2025 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

ICLR 2025 Spherical Tree-Sliced Wasserstein Distance Hoang V. Tran, Thanh Chu, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Tam Le, Tan Minh Nguyen

ICLRW 2025 Spherical Tree-Sliced Wasserstein Distance Hoang V. Tran, Thanh Chu, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Tam Le, Tan Minh Nguyen

ICLR 2025 Tight Clusters Make Specialized Experts Stefan Nielsen, Rachel Teo, Laziz Abdullaev, Tan Minh Nguyen

ICLRW 2025 Tight Clusters Make Specialized Experts Stefan Nielsen, Rachel S.Y. Teo, Laziz Abdullaev, Tan Minh Nguyen

ICLR 2025 Transformer Meets Twicing: Harnessing Unattended Residual Information Laziz Abdullaev, Tan Minh Nguyen

NeurIPS 2025 Tree-Sliced Entropy Partial Transport Viet-Hoang Tran, Thanh Tran, Thanh Chu, Tam Le, Tan Minh Nguyen

ICML 2025 Tree-Sliced Wasserstein Distance with Nonlinear Projection Thanh Tran, Hoang V. Tran, Thanh Chu, Huyen Trang Pham, Laurent El Ghaoui, Tam Le, Tan Minh Nguyen

ICML 2025 Tree-Sliced Wasserstein Distance: A Geometric Perspective Hoang V. Tran, Huyen Trang Pham, Tho Tran Huu, Minh-Khoi Nguyen-Nhat, Thanh Chu, Tam Le, Tan Minh Nguyen

ICLRW 2025 Unveiling the Hidden Structure of Self-Attention via Kernel Principal Component Analysis Rachel S.Y. Teo, Tan Minh Nguyen

ICLR 2024 Beyond Vanilla Variational Autoencoders: Detecting Posterior Collapse in Conditional and Hierarchical Variational Autoencoders Hien Dang, Tho Tran Huu, Tan Minh Nguyen, Nhat Ho

ICML 2024 Neural Collapse for Cross-Entropy Class-Imbalanced Learning with Unconstrained ReLU Features Model Hien Dang, Tho Tran Huu, Tan Minh Nguyen, Nhat Ho

ICML 2024 PIDformer: Transformer Meets Control Theory Tam Minh Nguyen, Cesar A Uribe, Tan Minh Nguyen, Richard Baraniuk

UAI 2024 Revisiting Kernel Attention with Correlated Gaussian Process Representation Long Minh Bui, Tho Tran Huu, Duy Dinh, Tan Minh Nguyen, Trong Nghia Hoang

ICLR 2023 A Primal-Dual Framework for Transformers and Neural Networks Tan Minh Nguyen, Tam Minh Nguyen, Nhat Ho, Andrea L. Bertozzi, Richard Baraniuk, Stanley Osher

ICLR 2023 Hierarchical Sliced Wasserstein Distance Khai Nguyen, Tongzheng Ren, Huy Nguyen, Litu Rout, Tan Minh Nguyen, Nhat Ho

ICML 2023 Neural Collapse in Deep Linear Networks: From Balanced to Imbalanced Data Hien Dang, Tho Tran Huu, Stanley Osher, Hung The Tran, Nhat Ho, Tan Minh Nguyen

ICML 2023 Revisiting Over-Smoothing and Over-Squashing Using Ollivier-Ricci Curvature Khang Nguyen, Nong Minh Hieu, Vinh Duc Nguyen, Nhat Ho, Stanley Osher, Tan Minh Nguyen

ICLR 2022 GRAND++: Graph Neural Diffusion with a Source Term Matthew Thorpe, Tan Minh Nguyen, Hedi Xia, Thomas Strohmer, Andrea Bertozzi, Stanley Osher, Bao Wang

ICML 2022 Improving Transformers with Probabilistic Attention Keys Tam Minh Nguyen, Tan Minh Nguyen, Dung D. D. Le, Duy Khuong Nguyen, Viet-Anh Tran, Richard Baraniuk, Nhat Ho, Stanley Osher