Publications

(*) denotes equal contribution

Conference Publications

[C.1] Properties of Tokens in Self-Attention and Effects of Positional Encoding. Advances in NeurIPS, 2025.
Thieu N. Vo*, Duy-Tung Pham*, An Nguyen The*, Hoang V. Tran, Nhan Phu Chung, Xin T. Tong, Tan Minh Nguyen

[C.2] Equivariant Polynomial Functional Networks. International Conference on Machine Learning, ICML 2025.
Thieu N. Vo*, Hoang V. Tran*, Tho Tran Huu*, An Nguyen The, Thanh Tran, Minh-Khoi Nguyen-Nhat, Duy-Tung Pham, Tan Minh Nguyen

[C.3] Adaptive Prompting for Continual Relation Extraction: A Within-Task Variance Perspective. AAAI Conference on Artificial Intelligence, AAAI 2025 (Oral) .
Minh Le*, Tien Ngoc Luu*, An Nguyen The*, Thanh-Thien Le, Trang Nguyen, Thanh Tung Nguyen, Linh Ngo Van, Thien Huu Nguyen

[C.4] Equivariant Neural Functional Networks for Transformers. International Conference on Learning Representations, ICLR 2025.
Hoang V. Tran*, Thieu N. Vo*, An Nguyen The*, Tho Tran Huu, Minh-Khoi Nguyen-Nhat, Thanh Tran, Duy-Tung Pham, Tan Minh Nguyen

[C.5] Mixture of Experts Meets Prompt-Based Continual Learning. Advances in NeurIPS, 2024.
Minh Le, An Nguyen The*, Huy Nguyen*, Trang Nguyen*, Trang Pham*, Linh Van Ngo, Nhat Ho

[C.6] Monomial Matrix Group Equivariant Neural Functional Networks. Advances in NeurIPS, 2024.
Hoang V. Tran*, Thieu N. Vo*, Tho H. Tran, An Nguyen The, Tan Minh Nguyen

Preprints

[P.1] Quasi-Equivariant Metanetworks. Under review.

[P.2] Equivariant Metanetworks for Mixture-of-Experts Weights. Under review.