Boaz Nadler
Title
Cited by
Cited by
Year
Geometric diffusions as a tool for harmonic analysis and structure definition of data: Diffusion maps
RR Coifman, S Lafon, AB Lee, M Maggioni, B Nadler, F Warner, ...
Proceedings of the national academy of sciences 102 (21), 7426-7431, 2005
14952005
Diffusion maps, spectral clustering and reaction coordinates of dynamical systems
B Nadler, S Lafon, RR Coifman, IG Kevrekidis
Applied and Computational Harmonic Analysis 21 (1), 113-127, 2006
5592006
Diffusion maps, spectral clustering and eigenfunctions of Fokker-Planck operators
B Nadler, S Lafon, RR Coifman, IG Kevrekidis
Neural Information Processing Systems, 2005
5242005
Non-parametric detection of the number of signals: Hypothesis testing and random matrix theory
S Kritchman, B Nadler
IEEE Transactions on Signal Processing 57 (10), 3930-3941, 2009
2972009
Finite sample approximation results for principal component analysis: A matrix perturbation approach
B Nadler
The Annals of Statistics 36 (6), 2791-2817, 2008
2812008
Derivation of Poisson and Nernst-Planck equations in a bath and channel from a molecular model
Z Schuss, B Nadler, RS Eisenberg
Physical Review E 64 (3), 036116, 2001
259*2001
Natural image denoising: Optimality and inherent bounds
A Levin, B Nadler
CVPR 2011, 2833-2840, 2011
2582011
Diffusion maps, reduction coordinates, and low dimensional representation of stochastic systems
RR Coifman, IG Kevrekidis, S Lafon, M Maggioni, B Nadler
Multiscale Modeling & Simulation 7 (2), 842-864, 2008
2402008
Multiscale wavelets on trees, graphs and high dimensional data: Theory and applications to semi supervised learning
M Gavish, B Nadler, RR Coifman
ICML, 2010
2322010
Geometric diffusions as a tool for harmonic analysis and structure definition of data: Multiscale methods
RR Coifman, S Lafon, AB Lee, M Maggioni, B Nadler, F Warner, ...
Proceedings of the National Academy of Sciences of the United States of …, 2005
2242005
Determining the number of components in a factor model from limited noisy data
S Kritchman, B Nadler
Chemometrics and Intelligent Laboratory Systems 94 (1), 19-32, 2008
2182008
Nonparametric detection of signals by information theoretic criteria: performance analysis and an improved estimator
B Nadler
IEEE Transactions on Signal Processing 58 (5), 2746-2756, 2010
1872010
Fundamental limitations of spectral clustering
B Nadler, M Galun
Advances in neural information processing systems, 1017-1024, 2007
1722007
Performance of eigenvalue-based signal detectors with known and unknown noise level
B Nadler, F Penna, R Garello
2011 IEEE International Conference on Communications (ICC), 1-5, 2011
1682011
Discussion of: Treelets—An adaptive multi-scale basis for sparse unordered data
C Tuglus, MJ van der Laan
The Annals of Applied Statistics 2 (2), 489, 2008
1622008
Statistical analysis of semi-supervised learning: The limit of infinite unlabelled data
B Nadler, N Srebro, X Zhou
NIPS, 2009
155*2009
SpectralNet: Spectral Clustering using Deep Neural Networks
U Shaham, K Stanton, H Li, B Nadler, R Basri, Y Kluger
International Conference on Learning Representations, 2018
1482018
Minimax bounds for sparse PCA with noisy high-dimensional data
A Birnbaum, IM Johnstone, B Nadler, D Paul
Annals of statistics 41 (3), 1055, 2013
1482013
Patch complexity, finite pixel correlations and optimal denoising
A Levin, B Nadler, F Durand, WT Freeman
European Conference on Computer Vision, 73-86, 2012
1422012
Accurate blur models vs. image priors in single image super-resolution
N Efrat, D Glasner, A Apartsin, B Nadler, A Levin
Proceedings of the IEEE International Conference on Computer Vision, 2832-2839, 2013
1322013
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Articles 1–20