MREC: a fast and versatile framework for aligning and matching point
clouds with applications to single cell molecular data

v1v2v3 (latest)

MREC: a fast and versatile framework for aligning and matching point clouds with applications to single cell molecular data

6 January 2020

Andrew J. Blumberg

Mathieu Carrière

Michael A. Mandell

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Papers citing "MREC: a fast and versatile framework for aligning and matching point clouds with applications to single cell molecular data"

6 / 6 papers shown

Title
Unbalanced Low-rank Optimal Transport Solvers M. Scetbon Michal Klein Giovanni Palla Marco Cuturi OT 75 5 0 31 May 2023
Gromov-Wasserstein Distances: Entropic Regularization, Duality, and Sample Complexity Zhengxin Zhang Ziv Goldfeld Youssef Mroueh Bharath K. Sriperumbudur OT 65 18 0 25 Dec 2022
Efficient Approximation of Gromov-Wasserstein Distance Using Importance Sparsification Mengyu Li Jun Yu Hongteng Xu Cheng Meng 86 15 0 26 May 2022
Reversible Gromov-Monge Sampler for Simulation-Based Inference Y. Hur Wenxuan Guo Tengyuan Liang 91 9 0 28 Sep 2021
Linear-Time Gromov Wasserstein Distances using Low Rank Couplings and Costs M. Scetbon Gabriel Peyré Marco Cuturi OT 71 61 0 02 Jun 2021
Quantized Gromov-Wasserstein Samir Chowdhury David W. Miller Tom Needham 68 26 0 05 Apr 2021