On the exact Berk-Jones statistics and their A Moscovich, B Nadler, C Spiegelman
Electronic Journal of Statistics 10 (2), 2329-2354, 2016
68 2016 Cryo-EM reconstruction of continuous heterogeneity by Laplacian spectral volumes A Moscovich, A Halevi, J Andén, A Singer
Inverse Problems 36 (2), 024003, 2020
59 2020 Minimax-optimal semi-supervised regression on unknown manifolds A Moscovich, A Jaffe, B Nadler
Proceedings of the 20th International Conference on Artificial Intelligence …, 2017
39 2017 Manifold learning with arbitrary norms J Kileel, A Moscovich, N Zelesko, A Singer
Journal of Fourier Analysis and Applications 27 (5), 1-56, 2021
29 2021 Fast calculation of boundary crossing probabilities for Poisson processes A Moscovich, B Nadler
Statistics & Probability Letters 123, 177-182, 2017
28 2017 Earthmover-based manifold learning for analyzing molecular conformation spaces N Zelesko, A Moscovich, J Kileel, A Singer
2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 1715-1719, 2020
25 2020 Unsupervised particle sorting for high-resolution single-particle cryo-EM Y Zhou, A Moscovich, T Bendory, A Bartesaghi
Inverse Problems 36 (4), 044002, 2020
23 2020 On the cross-validation bias due to unsupervised pre-processing A Moscovich, S Rosset
Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2022
17 2022 Product manifold learning S Zhang, A Moscovich, A Singer
International Conference on Artificial Intelligence and Statistics, 3241-3249, 2021
17 2021 The Calibrated Kolmogorov-Smirnov Test A Moscovich-Eiger, B Nadler, C Spiegelman
arXiv preprint arXiv:1311.3190v3, 2014
16 * 2014 Wasserstein k-means for clustering tomographic projections R Rao, A Moscovich, A Singer
Machine Learning for Structural Biology workshop, Neural Information …, 2020
15 2020 Fast calculation of p-values for one-sided Kolmogorov-Smirnov type statistics A Moscovich
Computational Statistics & Data Analysis 185, 107769, 2023
11 2023 Data-driven determination of number of discrete conformations in single-particle cryo-EM Y Zhou, A Moscovich, A Bartesaghi
Computer methods and programs in biomedicine 221, 106892, 2022
9 2022 Hidden Markov modeling of single-particle diffusion with stochastic tethering A Federbush, A Moscovich, Y Bar-Sinai
Physical Review E 109 (3), 034129, 2024
1 2024 Spectral extraction of unique latent variables S Yoffe, A Moscovich, A Jaffe
arXiv e-prints, arXiv: 2402.18741, 2024
1 2024 Beyond trees: Classification with sparse pairwise dependencies Y Tenzer, A Moscovich, MF Dorn, B Nadler, C Spiegelman
Journal of machine learning research 21 (189), 1-33, 2020
1 2020 Spectral Extraction of Distinctive Latent Variables S Yoffe, A Moscovich, A Jaffe
arXiv preprint arXiv:2402.18741, 2024
2024 Fast computation of boundary crossing probabilities for the empirical CDF (poster) A Moscovich-Eiger, B Nadler
http://www.wisdom.weizmann.ac.il/~amitmo/crossprob …, 2015
2015 Tail-sensitive goodness-of-fit (poster) A Moscovich-Eiger, B Nadler, C Spiegelman
2014 Fast semi-supervised regression: a geodesic nearest neighbor approach A Moscovich, A Jaffe, B Nadler
Boaz NadlerWeizmann Institute of Science, IsraelBestätigte E-Mail-Adresse bei weizmann.ac.il