Huy Tran

2023202420253 14 4

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Soheil KolouriComputer Science, Vanderbilt University, Nashville, TNVerified email at vanderbilt.edu
Yikun BaiPostdoc, Computer Science department, Vanderbilt UniversityVerified email at vanderbilt.edu
Xinran LiuPh.D. student, Vanderbilt UniversityVerified email at vanderbilt.edu
Ashkan ShahbaziComputer Science Ph.D. Student, Vanderbilt UniversityVerified email at vanderbilt.edu
Abihith KothapalliVanderbilt UniversityVerified email at vanderbilt.edu
Rocío Díaz MartínPostdoctoral Researcher, Tufts UniversityVerified email at tufts.edu

Huy Tran

Verified email at vanderbilt.edu - Homepage


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Stereographic spherical sliced wasserstein distances H Tran, Y Bai, A Kothapalli, A Shahbazi, X Liu, RD Martin, S Kolouri ICML 2024 Spotlight, 2024	8	2024
Is multi-task learning an upper bound for continual learning? Z Wu, H Tran, H Pirsiavash, S Kolouri ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023	7	2023
Ptlp: Partial transport lp distances X Liu, Y Bai, H Tran, Z Zhu, M Thorpe, S Kolouri Optimal Transport and Machine Learning Workshop at NeurIPS 2023, 2023	4	2023
Understanding learning with sliced-Wasserstein requires rethinking informative slices H Tran, Y Bai, A Shahbazi, JR Hershey, S Kolouri arXiv preprint arXiv:2411.10651, 2024	1	2024
Partial transport for point-cloud registration Y Bai, H Tran, SB Damelin, S Kolouri Sampling Theory, Signal Processing, and Data Analysis 23 (1), 4, 2023	1	2023
Fused Partial Gromov-Wasserstein for Structured Objects Y Bai, H Tran, H Du, X Liu, S Kolouri arXiv preprint arXiv:2502.09934, 2025		2025

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