Poster

Tue 9:00

Certifying Robust Graph Classification under Orthogonal Gromov-Wasserstein Threats
Hongwei Jin · Zishun Yu · Xinhua Zhang

Workshop

Topological Continual Learning with Wasserstein Distance and Barycenter
Tananun Songdechakraiwut · Xiaoshuang Yin · Barry Van Veen

Poster

Thu 9:00

Asymptotics of smoothed Wasserstein distances in the small noise regime
Yunzi Ding · Jonathan Niles-Weed

Workshop

3D alignment of cryogenic electron microscopy density maps by minimizing their Wasserstein distance
Aryan Tajmir Riahi · Geoffrey Woollard · Frederic Poitevin · Anne Condon · Khanh Dao Duc

Workshop

Topological Classification in a Wasserstein Distance Based Vector Space
Tananun Songdechakraiwut · Bryan Krause · Matthew Banks · Kirill Nourski · Barry Van Veen

Affinity Workshop

Comparing neural population responses based on pairwise $p$-Wasserstein distance between topological signatures
Liu Zhang · Fei Han · KELIN XIA

Poster

Tue 14:00

Coresets for Wasserstein Distributionally Robust Optimization Problems
Ruomin Huang · Jiawei Huang · Wenjie Liu · Hu Ding

Poster

Tue 14:00

Statistical, Robustness, and Computational Guarantees for Sliced Wasserstein Distances
Sloan Nietert · Ziv Goldfeld · Ritwik Sadhu · Kengo Kato

Workshop

Optimal Latent Transport
Hrittik Roy · Søren Hauberg

Poster

Wed 14:00

Wasserstein Logistic Regression with Mixed Features
Aras Selvi · Mohammad Reza Belbasi · Martin Haugh · Wolfram Wiesemann

Poster

Wasserstein Iterative Networks for Barycenter Estimation
Alexander Korotin · Vage Egiazarian · Lingxiao Li · Evgeny Burnaev

Poster

Wed 14:00

Wasserstein $K$-means for clustering probability distributions
Yubo Zhuang · Xiaohui Chen · Yun Yang