Amit Moscovich

According to our database, Amit Moscovich authored at least 13 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Quantization-based Bounds on the Wasserstein Metric.

Jonathan Bobrutsky, Amit Moscovich

CoRR, June, 2025

2023

Fast calculation of p-values for one-sided Kolmogorov-Smirnov type statistics.

Amit Moscovich

Comput. Stat. Data Anal., September, 2023

2022

Data-driven determination of number of discrete conformations in single-particle cryo-EM.

Ye Zhou, Amit Moscovich, Alberto Bartesaghi

Comput. Methods Programs Biomed., 2022

2021

Product Manifold Learning.

Sharon Zhang, Amit Moscovich, Amit Singer

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Beyond Trees: Classification with Sparse Pairwise Dependencies.

Yaniv Tenzer, Amit Moscovich, Mary Frances Dorn, Boaz Nadler, Clifford H. Spiegelman

J. Mach. Learn. Res., 2020

Manifold learning with arbitrary norms.

Joe Kileel, Amit Moscovich, Nathan Zelesko, Amit Singer

CoRR, 2020

Wasserstein K-Means for Clustering Tomographic Projections.

Rohan Rao, Amit Moscovich, Amit Singer

CoRR, 2020

Earthmover-Based Manifold Learning for Analyzing Molecular Conformation Spaces.

Nathan Zelesko, Amit Moscovich, Joe Kileel, Amit Singer

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019

Unsupervised particle sorting for high-resolution single-particle cryo-EM.

Ye Zhou, Amit Moscovich, Tamir Bendory, Alberto Bartesaghi

CoRR, 2019

Cryo-EM reconstruction of continuous heterogeneity by Laplacian spectral volumes.

Amit Moscovich, Amit Halevi, Joakim Andén, Amit Singer

CoRR, 2019

Rescaling and other forms of unsupervised preprocessing introduce bias into cross-validation.

Amit Moscovich, Saharon Rosset

CoRR, 2019

2018

Semiparametric Classification of Forest Graphical Models.

Mary Frances Dorn, Amit Moscovich, Boaz Nadler, Clifford H. Spiegelman

CoRR, 2018

2017

Minimax-optimal semi-supervised regression on unknown manifolds.

Amit Moscovich, Ariel Jaffe, Boaz Nadler

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017