¹ first/co-first author
² last/co-last author
2026
The Noetherian Case of Bayart's Power-Series Question
Viet-Hoang Tran¹, Dung V. Nguyen, Quang X. Nguyen, Thieu N. Vo, Tan M. Nguyen²
preprint, 2026
Conservation Laws for Modern Neural Architectures
Viet-Hoang Tran¹, Vinh Khanh Bui¹, Tan Lai Ngoc, Nam Nguyen, Tuan Dam, Tan M. Nguyen²
ICML 2026 (spotlight)
Functional Equivalence in Attention: A Comprehensive Study with Applications to Linear Mode Connectivity
Viet-Hoang Tran¹, Khanh Vinh Bui, Van-Hoan Trinh, Tan Lai Ngoc, Tan Minh Nguyen²
ICML 2026
Geometric and Stochastic Analysis of Discontinuities in Sparse Mixture-of-Experts
Tho Tran Huu¹, Huu-Tuan Nguyen¹, Thien-Hai Nguyen, Nhat-Tri Ho, Viet-Hoang Tran, Tho Quan, Tan Minh Nguyen²
ICML 2026 (spotlight)
Quasi-Equivariant Metanetworks
Viet-Hoang Tran¹, An Nguyen The¹, Benoit Guerand, Thieu Vo², Tan Minh Nguyen²
ICLR 2026
Mixed-Curvature Tree-Sliced Wasserstein Distance
Duy-Tung Pham¹, Viet-Hoang Tran¹, Thieu Vo², Tan Minh Nguyen²
ICLR 2026
Tree-sliced Sobolev IPM
Viet-Hoang Tran¹, Thanh Tran¹, Thanh Chu, Duy-Tung Pham, Trung-Khang Tran, Tam Le², Tan Minh Nguyen²
ICLR 2026
Revisiting Tree-Sliced Wasserstein Distance Through the Lens of the Fermat-Weber Problem
Viet-Hoang Tran¹, Thanh Tran¹, Thanh Chu¹, Duy-Tung Pham, Trung-Khang Tran, Tam Le², Tan Minh Nguyen²
ICLR 2026
Modeling Expert Interactions in Sparse Mixture of Experts via Graph Structures
Minh-Khoi Nguyen-Nhat¹, Rachel S.Y. Teo, Laziz Abdullaev, Maurice Mok, Viet-Hoang Tran, Tan Minh Nguyen²
AAAI 2026 Workshop MATH4AI
2025
On Linear Mode Connectivity of Mixture-of-Experts Architectures
Viet-Hoang Tran¹, Van Hoan Trinh¹, Khanh Vinh Bui¹, Tan M. Nguyen²
NeurIPS 2025 (oral)
Tree-Sliced Entropy Partial Transport
Viet-Hoang Tran¹, Thanh Tran, Thanh Chu, Tam Le², Tan Minh Nguyen²
NeurIPS 2025
Dynamical Properties of Tokens in Self-Attention and Effects of Positional Encoding
Duy-Tung Pham¹, An Nguyen The¹, Viet-Hoang Tran, Nhan-Phu Chung, Xin T. Tong², Tan Minh Nguyen², Thieu Vo²
NeurIPS 2025
Tree-Sliced Wasserstein Distance with Nonlinear Projection
Thanh Tran¹, Viet-Hoang Tran¹, Thanh Chu, Trang Pham, Laurent El Ghaoui, Tam Le², Tan M. Nguyen²
ICML 2025
Tree-Sliced Wasserstein Distance: A Geometric Perspective
Viet-Hoang Tran¹, Trang Pham¹, Tho Tran, Minh Khoi Nguyen Nhat, Thanh Chu, Tam Le², Tan M. Nguyen²
ICML 2025
Equivariant Polynomial Functional Networks
Thieu N. Vo¹, Viet-Hoang Tran¹, Tho Tran Huu¹, An Nguyen The, Thanh Tran, Minh-Khoi Nguyen-Nhat, Duy-Tung Pham, Tan Minh Nguyen²
ICML 2025
Equivariant Neural Functional Networks for Transformers
Viet-Hoang Tran¹, Thieu N. Vo¹, An Nguyen The¹, Tho Tran Huu, Minh-Khoi Nguyen-Nhat, Thanh Tran, Duy-Tung Pham, Tan Minh Nguyen²
ICLR 2025
ICLR 2025 Workshop Weight Space Learning (spotlight)
Distance-Based Tree-Sliced Wasserstein Distance
Viet-Hoang Tran¹, Khoi N.M. Nguyen¹, Trang Pham, Thanh T. Chu, Tam Le², Tan M. Nguyen²
ICLR 2025
ICLR 2025 DeLTa Workshop
Spherical Tree-Sliced Wasserstein Distance
Viet-Hoang Tran¹, Thanh T. Chu¹, Khoi N.M. Nguyen, Trang Pham, Tam Le², Tan M. Nguyen²
ICLR 2025
ICLR 2025 DeLTa Workshop
2024
Monomial Matrix Group Equivariant Neural Functional Networks
Viet-Hoang Tran¹, Thieu N. Vo¹, Tho Tran-Huu, An T. Nguyen, Tan M. Nguyen²
NeurIPS 2024
A Clifford Algebraic Approach to E(n)-Equivariant High-order Graph Neural Networks
Viet-Hoang Tran¹, Thieu N. Vo¹, Tho Tran Huu, Tan Minh Nguyen²
preprint, 2024