Publications

(*) denotes equal contribution

2025

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    Linear Partial Gromov-Wasserstein Embedding
    Yikun Bai, Abihith Kothapalli*, Hengrong Du*, and 2 more authors
    International Conference on Learning Representations (ICLR), 2025
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    Partial Gromov-Wasserstein Metric
    Yikun Bai, Rocio Diaz Martin*, Abihith Kothapalli*, and 3 more authors
    International Conference on Learning Representations (ICLR), 2025

2024

  1. Spotlight
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    Stereographic Spherical Sliced Wasserstein Distances
    Huy Tran*, Yikun Bai*, Abihith Kothapalli*, and 4 more authors
    International Conference on Machine Learning (ICML), 2024
    Spotlight Presentation [Top 3.50%]
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    Equivariant vs. Invariant Layers: A Comparison of Backbone and Pooling for Point Cloud Classification
    Abihith Kothapalli, Ashkan Shahbazi, Xinran Liu, and 2 more authors
    International Conference on Machine Learning (ICML) Geometry-grounded Representation Learning and Generative Modeling Workshop, 2024

2023

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    Learning-Based Heuristic for Combinatorial Optimization of the Minimum Dominating Set Problem using Graph Convolutional Networks
    Abihith Kothapalli, Mudassir Shabbir, and Xenofon Koutsoukos
    Under Review, 2023

2021

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    Supervised Machine Learning for Automated Classification of Human Wharton’s Jelly Cells and Mechanosensory Hair Cells
    Abihith Kothapalli, Hinrich Staecker, and Adam J. Mellott
    PLOS ONE, 2021