Neural Collapse in Deep Linear Networks: From Balanced to Imbalanced Data. - Hien Dang 003; Tho Tran Huu; Stanley J. Osher; Hung Tran-The; Nhat Ho; Tan Minh Nguyen (ICML, 2023)

Posterior Collapse in Linear Conditional and Hierarchical Variational Autoencoders. - Hien Dang 003; Tho Tran; Tan Nguyen; Nhat Ho (CoRR, 2023)

Beyond Vanilla Variational Autoencoders: Detecting Posterior Collapse in Conditional and Hierarchical Variational Autoencoders. - Hien Dang 003; Tho Tran Huu; Tan Minh Nguyen; Nhat Ho (ICLR, 2024)

Neural Collapse for Cross-entropy Class-Imbalanced Learning with Unconstrained ReLU Features Model. - Hien Dang 003; Tho Tran Huu; Tan Minh Nguyen; Nhat Ho (ICML, 2024)

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

Neural Collapse for Cross-entropy Class-Imbalanced Learning with Unconstrained ReLU Feature Model. - Hien Dang 003; Tho Tran; Tan Nguyen; Nhat Ho (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)

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)

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)

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 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 (ICLR, 2025)