Tho Tran

According to our database, Tho Tran authored at least 9 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Clifford Algebraic Approach to E(n)-Equivariant High-order Graph Neural Networks.

Hoang-Viet Tran, Thieu N. Vo, Tho Tran Huu, Tan Minh Nguyen

CoRR, 2024

Equivariant Polynomial Functional Networks.

Thieu N. Vo, Viet-Hoang Tran, Tho Tran Huu, An Nguyen The, Thanh Tran, Minh-Khoi Nguyen-Nhat, Duy-Tung Pham, Tan Minh Nguyen

CoRR, 2024

Equivariant Neural Functional Networks for Transformers.

Viet-Hoang Tran, Thieu N. Vo, An Nguyen The, Tho Tran Huu, Minh-Khoi Nguyen-Nhat, Thanh Tran, Duy-Tung Pham, Tan Minh Nguyen

CoRR, 2024

Tree-Sliced Wasserstein Distance on a System of Lines.

Viet-Hoang Tran, Trang Pham, Tho Tran, Tam Le, Tan M. Nguyen

CoRR, 2024

Neural Collapse for Cross-entropy Class-Imbalanced Learning with Unconstrained ReLU Feature Model.

Hien Dang, Tho Tran, Tan Nguyen, Nhat Ho

CoRR, 2024

Neural Collapse for Cross-entropy Class-Imbalanced Learning with Unconstrained ReLU Features Model.

Hien Dang, Tho Tran Huu, Tan Minh Nguyen, Nhat Ho

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Beyond Vanilla Variational Autoencoders: Detecting Posterior Collapse in Conditional and Hierarchical Variational Autoencoders.

Hien Dang, Tho Tran Huu, Tan Minh Nguyen, Nhat Ho

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Posterior Collapse in Linear Conditional and Hierarchical Variational Autoencoders.

Hien Dang, Tho Tran, Tan Nguyen, Nhat Ho

CoRR, 2023

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

Proceedings of the International Conference on Machine Learning, 2023