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2020 – today
- 2024
[c3]Hien Dang, Tho Tran Huu, Tan Minh Nguyen, Nhat Ho:
Beyond Vanilla Variational Autoencoders: Detecting Posterior Collapse in Conditional and Hierarchical Variational Autoencoders. ICLR 2024- [c2]Hien Dang, Tho Tran Huu, Tan Minh Nguyen, Nhat Ho:
Neural Collapse for Cross-entropy Class-Imbalanced Learning with Unconstrained ReLU Features Model. ICML 2024 - [i7]Hien Dang, Tho Tran, Tan Nguyen, Nhat Ho:
Neural Collapse for Cross-entropy Class-Imbalanced Learning with Unconstrained ReLU Feature Model. CoRR abs/2401.02058 (2024) - [i6]Viet-Hoang Tran, Trang Pham, Tho Tran, Tam Le, Tan M. Nguyen:
Tree-Sliced Wasserstein Distance on a System of Lines. CoRR abs/2406.13725 (2024) - [i5]Viet-Hoang Tran, Thieu N. Vo, An Nguyen The, Tho Tran Huu, Minh-Khoi Nguyen-Nhat, Thanh Tran, Duy-Tung Pham, Tan Minh Nguyen:
Equivariant Neural Functional Networks for Transformers. CoRR abs/2410.04209 (2024) - [i4]Thieu N. Vo, Viet-Hoang Tran, Tho Tran Huu, An Nguyen The, Thanh Tran, Minh-Khoi Nguyen-Nhat, Duy-Tung Pham, Tan Minh Nguyen:
Equivariant Polynomial Functional Networks. CoRR abs/2410.04213 (2024) - [i3]Hoang-Viet Tran, Thieu N. Vo, Tho Tran Huu, Tan Minh Nguyen:
A Clifford Algebraic Approach to E(n)-Equivariant High-order Graph Neural Networks. CoRR abs/2410.04692 (2024) - 2023
- [c1]Hien Dang, Tho Tran Huu, Stanley J. Osher, Hung Tran-The, Nhat Ho, Tan Minh Nguyen:
Neural Collapse in Deep Linear Networks: From Balanced to Imbalanced Data. ICML 2023: 6873-6947 - [i2]Hien Dang, Tho Tran, Tan M. Nguyen, Stanley J. Osher, Hung Tran-The, Nhat Ho:
Neural Collapse in Deep Linear Networks: From Balanced to Imbalanced Data. CoRR abs/2301.00437 (2023) - [i1]Hien Dang, Tho Tran, Tan Nguyen, Nhat Ho:
Posterior Collapse in Linear Conditional and Hierarchical Variational Autoencoders. CoRR abs/2306.05023 (2023)
Coauthor Index
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