Tung Pham

According to our database, Tung Pham authored at least 20 papers between 2020 and 2024.

Collaborative distances:

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

2024

On Barycenter Computation: Semi-Unbalanced Optimal Transport-based Method on Gaussians.

Ngoc-Hai Nguyen, Dung Le, Hoang-Phi Nguyen, Tung Pham, Nhat Ho

CoRR, 2024

Diversity-Aware Agnostic Ensemble of Sharpness Minimizers.

Anh Bui, Vy Vo, Tung Pham, Dinh Q. Phung, Trung Le

CoRR, 2024

COMBAT: Alternated Training for Effective Clean-Label Backdoor Attacks.

Tran Huynh, Dang Nguyen, Tung Pham, Anh Tran

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Robust Contrastive Learning With Theory Guarantee.

Ngoc N. Tran, Lam Tran, Hoang Phan, Anh Tuan Bui, Tung Pham, Toan Tran, Dinh Q. Phung, Trung Le

CoRR, 2023

RSAM: Learning on manifolds with Riemannian Sharpness-aware Minimization.

Tuan Truong, Hoang-Phi Nguyen, Tung Pham, Minh-Tuan Tran, Mehrtash Harandi, Dinh Phung, Trung Le

CoRR, 2023

Sharpness & Shift-Aware Self-Supervised Learning.

Ngoc N. Tran, Son Duong, Hoang Phan, Tung Pham, Dinh Q. Phung, Trung Le

CoRR, 2023

2022

Improving Mini-batch Optimal Transport via Partial Transportation.

Khai Nguyen, Dang Nguyen, The-Anh Vu-Le, Tung Pham, Nhat Ho

Proceedings of the International Conference on Machine Learning, 2022

On Transportation of Mini-batches: A Hierarchical Approach.

Khai Nguyen, Dang Nguyen, Quoc Dinh Nguyen, Tung Pham, Hung Bui, Dinh Phung, Trung Le, Nhat Ho

Proceedings of the International Conference on Machine Learning, 2022

Entropic Gromov-Wasserstein between Gaussian Distributions.

Khang Le, Dung Q. Le, Huy Nguyen, Dat Do, Tung Pham, Nhat Ho

Proceedings of the International Conference on Machine Learning, 2022

On Multimarginal Partial Optimal Transport: Equivalent Forms and Computational Complexity.

Khang Le, Huy Nguyen, Khai Nguyen, Tung Pham, Nhat Ho

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Entropic Gromov-Wasserstein between Gaussian Distributions.

Khang Le, Dung Le, Huy Nguyen, Dat Do, Tung Pham, Nhat Ho

CoRR, 2021

An Efficient Mini-batch Method via Partial Transportation.

Khai Nguyen, Dang Nguyen, Tung Pham, Nhat Ho

CoRR, 2021

On Multimarginal Partial Optimal Transport: Equivalent Forms and Computational Complexity.

Khang Le, Huy Nguyen, Tung Pham, Nhat Ho

CoRR, 2021

On Robust Optimal Transport: Computational Complexity, Low-rank Approximation, and Barycenter Computation.

Khang Le, Huy Nguyen, Quang Nguyen, Nhat Ho, Tung Pham, Hung Bui

CoRR, 2021

BoMb-OT: On Batch of Mini-batches Optimal Transport.

Khai Nguyen, Quoc Nguyen, Nhat Ho, Tung Pham, Hung Bui, Dinh Phung, Trung Le

CoRR, 2021

On Robust Optimal Transport: Computational Complexity and Barycenter Computation.

Khang Le, Huy Nguyen, Quang Minh Nguyen, Tung Pham, Hung Bui, Nhat Ho

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Improving Relational Regularized Autoencoders with Spherical Sliced Fused Gromov Wasserstein.

Khai Nguyen, Son Nguyen, Nhat Ho, Tung Pham, Hung Bui

Proceedings of the 9th International Conference on Learning Representations, 2021

Distributional Sliced-Wasserstein and Applications to Generative Modeling.

Khai Nguyen, Nhat Ho, Tung Pham, Hung Bui

Proceedings of the 9th International Conference on Learning Representations, 2021

Point-set Distances for Learning Representations of 3D Point Clouds.

Trung Nguyen, Quang-Hieu Pham, Tam Le, Tung Pham, Nhat Ho, Binh-Son Hua

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

On Unbalanced Optimal Transport: An Analysis of Sinkhorn Algorithm.

Khiem Pham, Khang Le, Nhat Ho, Tung Pham, Hung Bui

Proceedings of the 37th International Conference on Machine Learning, 2020