Huu, Tho Tran

7 publications

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

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

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 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