Tung Pham

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 19

Top Topics

Computational Complexity

Gaussian Distribution

Top Venues

Publications

Tran Huynh, Dang Nguyen, Tung Pham, Anh Tran
COMBAT: Alternated Training for Effective Clean-Label Backdoor Attacks. AAAI (2024)
Tuan Truong, Hoang-Phi Nguyen, Tung Pham, Minh-Tuan Tran, Mehrtash Harandi, Dinh Phung, Trung Le
RSAM: Learning on manifolds with Riemannian Sharpness-aware Minimization. CoRR (2023)
Khang Le, Huy Nguyen, Khai Nguyen, Tung Pham, Nhat Ho
On Multimarginal Partial Optimal Transport: Equivalent Forms and Computational Complexity. AISTATS (2022)
Khai Nguyen, Dang Nguyen, The-Anh Vu-Le, Tung Pham, Nhat Ho
Improving Mini-batch Optimal Transport via Partial Transportation. ICML (2022)
Khang Le, Dung Q. Le, Huy Nguyen, Dat Do, Tung Pham, Nhat Ho
Entropic Gromov-Wasserstein between Gaussian Distributions. ICML (2022)
Khang Le, Huy Nguyen, Quang Nguyen, Nhat Ho, Tung Pham, Hung Bui
On Robust Optimal Transport: Computational Complexity, Low-rank Approximation, and Barycenter Computation. CoRR (2021)
Khai Nguyen, Nhat Ho, Tung Pham, Hung Bui
Distributional Sliced-Wasserstein and Applications to Generative Modeling. ICLR (2021)
Khang Le, Huy Nguyen, Quang Minh Nguyen, Tung Pham, Hung Bui, Nhat Ho
On Robust Optimal Transport: Computational Complexity and Barycenter Computation. NeurIPS (2021)
Khai Nguyen, Quoc Nguyen, Nhat Ho, Tung Pham, Hung Bui, Dinh Phung, Trung Le
BoMb-OT: On Batch of Mini-batches Optimal Transport. CoRR (2021)
Khang Le, Huy Nguyen, Tung Pham, Nhat Ho
On Multimarginal Partial Optimal Transport: Equivalent Forms and Computational Complexity. CoRR (2021)
Trung Nguyen, Quang-Hieu Pham, Tam Le, Tung Pham, Nhat Ho, Binh-Son Hua
Point-set Distances for Learning Representations of 3D Point Clouds. CoRR (2021)
Khang Le, Dung Le, Huy Nguyen, Dat Do, Tung Pham, Nhat Ho
Entropic Gromov-Wasserstein between Gaussian Distributions. CoRR (2021)
Khai Nguyen, Dang Nguyen, Tung Pham, Nhat Ho
An Efficient Mini-batch Method via Partial Transportation. CoRR (2021)
Khai Nguyen, Son Nguyen, Nhat Ho, Tung Pham, Hung Bui
Improving Relational Regularized Autoencoders with Spherical Sliced Fused Gromov Wasserstein. ICLR (2021)
Trung Nguyen, Quang-Hieu Pham, Tam Le, Tung Pham, Nhat Ho, Binh-Son Hua
Point-set Distances for Learning Representations of 3D Point Clouds. ICCV (2021)
Khiem Pham, Khang Le, Nhat Ho, Tung Pham, Hung Bui
On Unbalanced Optimal Transport: An Analysis of Sinkhorn Algorithm. ICML (2020)
Khai Nguyen, Son Nguyen, Nhat Ho, Tung Pham, Hung Bui
Improving Relational Regularized Autoencoders with Spherical Sliced Fused Gromov Wasserstein. CoRR (2020)
Khai Nguyen, Nhat Ho, Tung Pham, Hung Bui
Distributional Sliced-Wasserstein and Applications to Generative Modeling. CoRR (2020)
Khiem Pham, Khang Le, Nhat Ho, Tung Pham, Hung Bui
On Unbalanced Optimal Transport: An Analysis of Sinkhorn Algorithm. CoRR (2020)