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Poster
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Tue 9:00
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Certifying Robust Graph Classification under Orthogonal Gromov-Wasserstein Threats
Hongwei Jin · Zishun Yu · Xinhua Zhang
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Poster
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Wasserstein Iterative Networks for Barycenter Estimation
Alexander Korotin · Vage Egiazarian · Lingxiao Li · Evgeny Burnaev
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Workshop
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Topological Continual Learning with Wasserstein Distance and Barycenter
Tananun Songdechakraiwut · Xiaoshuang Yin · Barry Van Veen
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Poster
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Thu 9:00
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Asymptotics of smoothed Wasserstein distances in the small noise regime
Yunzi Ding · Jonathan Niles-Weed
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Workshop
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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
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Workshop
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Topological Classification in a Wasserstein Distance Based Vector Space
Tananun Songdechakraiwut · Bryan Krause · Matthew Banks · Kirill Nourski · Barry Van Veen
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Affinity Workshop
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Comparing neural population responses based on pairwise p-Wasserstein distance between topological signatures
Liu Zhang · Fei Han · KELIN XIA
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Poster
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Tue 14:00
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Coresets for Wasserstein Distributionally Robust Optimization Problems
Ruomin Huang · Jiawei Huang · Wenjie Liu · Hu Ding
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Workshop
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Optimal Latent Transport
Hrittik Roy · Søren Hauberg
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Poster
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Tue 14:00
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Statistical, Robustness, and Computational Guarantees for Sliced Wasserstein Distances
Sloan Nietert · Ziv Goldfeld · Ritwik Sadhu · Kengo Kato
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Poster
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Wed 14:00
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Wasserstein Logistic Regression with Mixed Features
Aras Selvi · Mohammad Reza Belbasi · Martin Haugh · Wolfram Wiesemann
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Poster
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Wed 14:00
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Wasserstein K-means for clustering probability distributions
Yubo Zhuang · Xiaohui Chen · Yun Yang
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