Yikun Bai

Orcid: 0000-0001-7765-406X

According to our database1, Yikun Bai authored at least 17 papers between 2023 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Fused Partial Gromov-Wasserstein for Structured Objects.
CoRR, February, 2025

Wasserstein task embedding for measuring task similarities.
Neural Networks, 2025

Expected Sliced Transport Plans.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Linear Spherical Sliced Optimal Transport: A Fast Metric for Comparing Spherical Data.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Partial Gromov-Wasserstein Metric.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Linear Partial Gromov-Wasserstein Embedding.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024
Understanding Entropic Regularization in GANs.
J. Mach. Learn. Res., 2024

Understanding Learning with Sliced-Wasserstein Requires Rethinking Informative Slices.
CoRR, 2024

Sinkhorn algorithms and linear programming solvers for optimal partial transport problems.
CoRR, 2024

Efficient Solvers for Partial Gromov-Wasserstein.
CoRR, 2024

Stereographic Spherical Sliced Wasserstein Distances.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

LCOT: Linear Circular Optimal Transport.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Information Constrained Optimal Transport: From Talagrand, to Marton, to Cover.
IEEE Trans. Inf. Theory, April, 2023

Partial Transport for Point-Cloud Registration.
CoRR, 2023

PTL<sup>p</sup>: Partial Transport L<sup>p</sup> Distances.
CoRR, 2023

Linear optimal partial transport embedding.
Proceedings of the International Conference on Machine Learning, 2023

Sliced Optimal Partial Transport.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023


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