Tung Pham
Tung Pham
VinAI Research
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Distributional sliced-Wasserstein and applications to generative modeling
K Nguyen, N Ho, T Pham, H Bui
ICLR 2021, 2020
On unbalanced optimal transport: An analysis of sinkhorn algorithm
K Pham, K Le, N Ho, T Pham, H Bui
International Conference on Machine Learning, 7673-7682, 2020
Point-set Distances for Learning Representations of 3D Point Clouds
T Nguyen, QH Pham, T Le, T Pham, N Ho, BS Hua
International Conference of Computer Vision, 2021, 2021
Asymptotic normality and valid inference for Gaussian variational approximation
P Hall, T Pham, MP Wand, SSJ Wang
Mean field variational Bayesian inference for nonparametric regression with measurement error
TH Pham, JT Ormerod, MP Wand
Computational Statistics & Data Analysis 68, 375-387, 2013
Principal flows
VM Panaretos, T Pham, Z Yao
Journal of the American Statistical Association 109 (505), 424-436, 2014
On Robust Optimal Transport: Computational Complexity and Barycenter Computation
K Le, H Nguyen, Q Nguyen, N Ho, T Pham, H Bui
Advances in Neural Information Processing Systems 34 (NeurIPS 2021), 2021
Improving mini-batch optimal transport via partial transportation
K Nguyen, D Nguyen, T Pham, N Ho
International Conference on Machine Learning, 16656-16690, 2022
Clustering functional data into groups by using projections
A Delaigle, P Hall, T Pham
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2019
Improving relational regularized autoencoders with spherical sliced fused Gromov Wasserstein
K Nguyen, S Nguyen, N Ho, T Pham, H Bui
ICLR 2021, 2020
Entropic Gromov-Wasserstein between Gaussian distributions
K Le, D Le, H Nguyen, D Do, T Pham, N Ho
ICML, 2022, 2021
Methodology and convergence rates for functional time series regression
T Pham, VM Panaretos
Statistica Sinica 28 (4), 2521-2539, 2018
On transportation of mini-batches: A hierarchical approach
K Nguyen, D Nguyen, Q Nguyen, T Pham, H Bui, D Phung, T Le, N Ho
arXiv preprint arXiv:2102.05912, 2021
Optimal properties of centroid-based classifiers for very high-dimensional data
P Hall, T Pham
On Multimarginal Partial Optimal Transport: Equivalent Forms and Computational Complexity
K Le, H Nguyen, K Nguyen, T Pham, N Ho
International Conference on Artificial Intelligence and Statistics, 2022
Generalised additive mixed models analysis via gammSlice
TH Pham, MP Wand
Australian & New Zealand Journal of Statistics 60 (3), 279-300, 2018
Notes on an open problem of F. Qi and Y. Chen and J. Kimball
QA Ngo, PH Tung
J. Inequal. Pure Appl. Math 8 (2), 2007
A novel case‐control subsampling approach for rapid model exploration of large clustered binary data
ST Wright, LM Ryan, T Pham
Statistics in Medicine 37 (6), 899-913, 2018
Understanding the Robustness of Randomized Feature Defense Against Query-Based Adversarial Attacks
QH Nguyen, Y Lao, T Pham, KS Wong, KD Doan
arXiv preprint arXiv:2310.00567, 2023
COMBAT: Alternated Training for Near-Perfect Clean-Label Backdoor Attacks
TN Huynh, DM Nguyen, T Pham, AT Tran
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