1 citations · 1 across the 4 of their papers we have counts for
4 papers
Linear Partial Gromov-Wasserstein Embedding
Yikun Bai, Abihith Kothapalli, Hengrong Du +2
The Gromov-Wasserstein (GW) problem, a variant of the classical optimal transport (OT) problem, has attracted growing interest in the machine learning and data science communities…
Stereographic Spherical Sliced Wasserstein Distances
Huy Tran, Yikun Bai, Abihith Kothapalli +4
Comparing spherical probability distributions is of great interest in various fields, including geology, medical domains, computer vision, and deep representation learning. The uti…
Learning-Based Heuristic for Combinatorial Optimization of the Minimum Dominating Set Problem using Graph Convolutional Networks
Abihith Kothapalli, Mudassir Shabbir, Xenofon Koutsoukos
A dominating set of a graph is a subset of vertices such that every vertex outside the dominating set is…
Equivariant vs. Invariant Layers: A Comparison of Backbone and Pooling for Point Cloud Classification
Abihith Kothapalli, Ashkan Shahbazi, Xinran Liu +2
Learning from set-structured data, such as point clouds, has gained significant attention from the machine learning community. Geometric deep learning provides a blueprint for desi…