A qualitative and quantitative visibility analysis in urban scenes. - Boaz Nadler; Gadi Fibich; Shuly Lev-Yehudi; Daniel Cohen-Or (Comput. Graph., 1999)

The Stationary Arrival Process of Independent Diffusers from a Continuum to an Absorbing Boundary Is Poissonian. - Boaz Nadler; T. Naeh; Zeev Schuss (SIAM J. Appl. Math., 2001)

Connecting a Discrete Ionic Simulation to a Continuum. - Boaz Nadler; T. Naeh; Zeev Schuss (SIAM J. Appl. Math., 2003)

Diffusion Maps, Spectral Clustering and Eigenfunctions of Fokker-Planck Operators. - Boaz Nadler; Stéphane Lafon; Ronald R. Coifman; Ioannis G. Kevrekidis (NIPS, 2005)

Fundamental Limitations of Spectral Clustering. - Boaz Nadler; Meirav Galun (NIPS, 2006)

Treelets | A Tool for Dimensionality Reduction and Multi-Scale Analysis of Unstructured Data. - Ann B. Lee; Boaz Nadler (AISTATS, 2007)

Nonparametric detection of the number of signals and random matrix theory. - Shira Kritchman; Boaz Nadler (ACSCC, 2008)

Clustering of High-Dimensional Gene Expression Data with Feature Filtering Methods and Diffusion Maps. - Rui Xu 001; Steven B. Damelin; Boaz Nadler; Donald C. Wunsch II (BMEI (1), 2008)

3D shape reconstruction of Mooney faces. - Ira Kemelmacher-Shlizerman; Ronen Basri; Boaz Nadler (CVPR, 2008)

Diffusion Maps, Reduction Coordinates, and Low Dimensional Representation of Stochastic Systems. - Ronald R. Coifman; Ioannis G. Kevrekidis; Stéphane Lafon; Mauro Maggioni; Boaz Nadler (Multiscale Model. Simul., 2008)

Quantitative Assessment of Image Segmentation Quality by Random Walk Relaxation Times. - Björn Andres; Ullrich Köthe; Andreea Bonea; Boaz Nadler; Fred A. Hamprecht (DAGM-Symposium, 2009)

Statistical Analysis of Semi-Supervised Learning: The Limit of Infinite Unlabelled Data. - Boaz Nadler; Nathan Srebro; Xueyuan Zhou (NIPS, 2009)

Universal Kernel-Based Learning with Applications to Regular Languages. - Leonid Kontorovich; Boaz Nadler (J. Mach. Learn. Res., 2009)

Diffusion Interpretation of Nonlocal Neighborhood Filters for Signal Denoising. - Amit Singer; Yoel Shkolnisky; Boaz Nadler (SIAM J. Imaging Sci., 2009)

Refined Perturbation Bounds for Eigenvalues of Hermitian and Non-Hermitian Matrices. - Ilse C. F. Ipsen; Boaz Nadler (SIAM J. Matrix Anal. Appl., 2009)

Non-parametric detection of the number of signals: hypothesis testing and random matrix theory. - Shira Kritchman; Boaz Nadler (IEEE Trans. Signal Process., 2009)

Detecting Faint Curved Edges in Noisy Images. - Sharon Alpert; Meirav Galun; Boaz Nadler; Ronen Basri (ECCV (4), 2010)

Multiscale Wavelets on Trees, Graphs and High Dimensional Data: Theory and Applications to Semi Supervised Learning. - Matan Gavish; Boaz Nadler; Ronald R. Coifman (ICML, 2010)

Nonparametric detection of signals by information theoretic criteria: performance analysis and an improved estimator. - Boaz Nadler (IEEE Trans. Signal Process., 2010)

Natural image denoising: Optimality and inherent bounds. - Anat Levin; Boaz Nadler (CVPR, 2011)

Performance of Eigenvalue-Based Signal Detectors with Known and Unknown Noise Level. - Boaz Nadler; Federico Penna; Roberto Garello (ICC, 2011)

On the distribution of the ratio of the largest eigenvalue to the trace of a Wishart matrix. - Boaz Nadler (J. Multivar. Anal., 2011)

Model Selection for Sinusoids in Noise: Statistical Analysis and a New Penalty Term. - Boaz Nadler; Leonid Kontorovich (IEEE Trans. Signal Process., 2011)

Patch Complexity, Finite Pixel Correlations and Optimal Denoising. - Anat Levin; Boaz Nadler; Frédo Durand; William T. Freeman (ECCV (5), 2012)

Active Learning with Distributional Estimates. - Jens Röder; Boaz Nadler; Kevin Kunzmann; Fred A. Hamprecht (UAI, 2012)

3D Face Reconstruction from Single Two-Tone and Color Images. - Ira Kemelmacher-Shlizerman; Ronen Basri; Boaz Nadler (Shape Perception in Human and Computer Vision, 2013)

Accurate Blur Models vs. Image Priors in Single Image Super-resolution. - Netalee Efrat; Daniel Glasner; Alexander Apartsin; Boaz Nadler; Anat Levin (ICCV, 2013)

On learning parametric-output HMMs. - Aryeh Kontorovich; Boaz Nadler; Roi Weiss (ICML (3), 2013)

The student's dilemma: ranking and improving prediction at test time without access to training data - Fabio Parisi; Francesco Strino; Boaz Nadler; Yuval Kluger (CoRR, 2013)

Normalized Cuts Are Approximately Inverse Exit Times. - Matan Gavish; Boaz Nadler (SIAM J. Matrix Anal. Appl., 2013)

Vectorial Phase Retrieval of 1-D Signals. - Oren Raz; Nirit Dudovich; Boaz Nadler (IEEE Trans. Signal Process., 2013)

Roy's largest root under rank-one alternatives: The complex valued case and applications. - Prathapasinghe Dharmawansa; Boaz Nadler; Ofer Shwartz (CoRR, 2014)

Estimating the accuracies of multiple classifiers without labeled data. - Ariel Jaffe; Boaz Nadler; Yuval Kluger (AISTATS, 2015)

Learning Parametric-Output HMMs with Two Aliased States. - Roi Weiss; Boaz Nadler (ICML, 2015)

Detecting the large entries of a sparse covariance matrix in sub-quadratic time. - Ofer Shwartz; Boaz Nadler (CoRR, 2015)

Detection of Long Edges on a Computational Budget: A Sublinear Approach. - Inbal Horev; Boaz Nadler; Ery Arias-Castro; Meirav Galun; Ronen Basri (SIAM J. Imaging Sci., 2015)

Unsupervised Ensemble Learning with Dependent Classifiers. - Ariel Jaffe; Ethan Fetaya; Boaz Nadler; Tingting Jiang; Yuval Kluger (AISTATS, 2016)

Fast Detection of Curved Edges at Low SNR. - Nati Ofir; Meirav Galun; Boaz Nadler; Ronen Basri (CVPR, 2016)

A Deep Learning Approach to Unsupervised Ensemble Learning. - Uri Shaham 001; Xiuyuan Cheng; Omer Dror; Ariel Jaffe; Boaz Nadler; Joseph T. Chang; Yuval Kluger (ICML, 2016)

Minimax-optimal semi-supervised regression on unknown manifolds. - Amit Moscovich; Ariel Jaffe; Boaz Nadler (AISTATS, 2017)

Cost efficient gradient boosting. - Sven Peter; Ferran Diego; Fred A. Hamprecht; Boaz Nadler (NIPS, 2017)

Unsupervised Ensemble Regression. - Omer Dror; Boaz Nadler; Erhan Bilal; Yuval Kluger (CoRR, 2017)

Detecting Curved Edges in Noisy Images in Sublinear Time. - Yi-Qing Wang; Alain Trouvé; Yali Amit; Boaz Nadler (J. Math. Imaging Vis., 2017)

SpectralNet: Spectral Clustering using Deep Neural Networks. - Uri Shaham 001; Kelly P. Stanton; Henry Li; Ronen Basri; Boaz Nadler; Yuval Kluger (ICLR (Poster), 2018)

Learning Binary Latent Variable Models: A Tensor Eigenpair Approach. - Ariel Jaffe; Roi Weiss; Shai Carmi; Yuval Kluger; Boaz Nadler (ICML, 2018)

Semiparametric Classification of Forest Graphical Models. - Mary Frances Dorn; Amit Moscovich; Boaz Nadler; Clifford H. Spiegelman (CoRR, 2018)

Newton Correction Methods for Computing Real Eigenpairs of Symmetric Tensors. - Ariel Jaffe; Roi Weiss; Boaz Nadler (SIAM J. Matrix Anal. Appl., 2018)

Roy's largest root under rank-one perturbations: The complex valued case and applications. - Prathapasinghe Dharmawansa; Boaz Nadler; Ofer Shwartz (J. Multivar. Anal., 2019)

Asymptotically Optimal Blind Calibration of Acoustic Vector Sensor Uniform Linear Arrays. - Amir Weiss; Boaz Nadler; Arie Yeredor (ICASSP, 2020)

Rank 2r iterative least squares: efficient recovery of ill-conditioned low rank matrices from few entries. - Jonathan Bauch; Boaz Nadler; Pini Zilber (CoRR, 2020)

Spectral neighbor joining for reconstruction of latent tree models. - Ariel Jaffe; Noah Amsel; Boaz Nadler; Joseph T. Chang; Yuval Kluger (CoRR, 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)

On Detection of Faint Edges in Noisy Images. - Nati Ofir; Meirav Galun; Sharon Alpert; Achi Brandt; Boaz Nadler; Ronen Basri (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

Improved Convergence Guarantees for Learning Gaussian Mixture Models by EM and Gradient EM. - Nimrod Segol; Boaz Nadler (CoRR, 2021)

Sparse Normal Means Estimation with Sublinear Communication. - Chen Amiraz; Robert Krauthgamer; Boaz Nadler (CoRR, 2021)

Spectral Top-Down Recovery of Latent Tree Models. - Yariv Aizenbud; Ariel Jaffe; Meng Wang; Amber Hu; Noah Amsel; Boaz Nadler; Joseph T. Chang; Yuval Kluger (CoRR, 2021)

The Trimmed Lasso: Sparse Recovery Guarantees and Practical Optimization by the Generalized Soft-Min Penalty. - Tal Amir; Ronen Basri; Boaz Nadler (SIAM J. Math. Data Sci., 2021)

Rank 2r Iterative Least Squares: Efficient Recovery of Ill-Conditioned Low Rank Matrices from Few Entries. - Jonathan Bauch; Boaz Nadler; Pini Zilber (SIAM J. Math. Data Sci., 2021)

Spectral Neighbor Joining for Reconstruction of Latent Tree Models. - Ariel Jaffe; Noah Amsel; Yariv Aizenbud; Boaz Nadler; Joseph T. Chang; Yuval Kluger (SIAM J. Math. Data Sci., 2021)

Crowdsourcing Regression: A Spectral Approach. - Yaniv Tenzer; Omer Dror; Boaz Nadler; Erhan Bilal; Yuval Kluger (AISTATS, 2022)

Inductive Matrix Completion: No Bad Local Minima and a Fast Algorithm. - Pini Zilber; Boaz Nadler (ICML, 2022)

Distributed Sparse Linear Regression with Sublinear Communication. - Chen Amiraz; Robert Krauthgamer; Boaz Nadler (CoRR, 2022)

"Self-Wiener" Filtering: Data-Driven Deconvolution of Deterministic Signals. - Amir Weiss; Boaz Nadler (IEEE Trans. Signal Process., 2022)

GNMR: A Provable One-Line Algorithm for Low Rank Matrix Recovery. - Pini Zilber; Boaz Nadler (SIAM J. Math. Data Sci., 2022)

Imbalanced Mixed Linear Regression. - Pini Zilber; Boaz Nadler (NeurIPS, 2023)

Distributed Sparse Linear Regression under Communication Constraints. - Rodney Fonseca; Boaz Nadler (CoRR, 2023)

A Majorization-Minimization Gauss-Newton Method for 1-Bit Matrix Completion. - Xiaoqian Liu; Xu Han; Eric C. Chi; Boaz Nadler (CoRR, 2023)

Tyler's and Maronna's M-estimators: Non-asymptotic concentration results. - Elad Romanov; Gil Kur; Boaz Nadler (J. Multivar. Anal., 2023)

Recovery Guarantees for Distributed-OMP. - Chen Amiraz; Robert Krauthgamer; Boaz Nadler (AISTATS, 2024)

Semi-Supervised Sparse Gaussian Classification: Provable Benefits of Unlabeled Data. - Eyar Azar; Boaz Nadler (NeurIPS, 2024)

Truth is Universal: Robust Detection of Lies in LLMs. - Lennart Bürger; Fred A. Hamprecht; Boaz Nadler (NeurIPS, 2024)

RGNMR: A Gauss-Newton method for robust matrix completion with theoretical guarantees. - Eilon Vaknin Laufer; Boaz Nadler (CoRR, 2025)