Citation Impact
Citing Papers
Reducing the Rank in Relational Factorization Models by Including Observable Patterns
2014
Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Matrices via Convex Optimization
2009
On Approximate Reasoning Capabilities of Low-Rank Vector Spaces
2015
2012
2014
A Generalized Grothendieck Inequality and Nonlocal Correlations that Require High Entanglement
2011
Exact Matrix Completion via Convex Optimization
2009 Standout
Sparse Subspace Clustering: Algorithm, Theory, and Applications
2013 Standout
Are Random Pure States Useful for Quantum Computation?
2009
Place cells, spatial maps and the population code for memory
2005 StandoutNobel
Barren plateaus in quantum neural network training landscapes
2018 Standout
A collaborative framework for 3D alignment and classification of heterogeneous subvolumes in cryo-electron tomography
2012 Standout
Quantum mechanical evolution towards thermal equilibrium
2009
Hierarchical models of object recognition in cortex
1999 Standout
Normalization of cell responses in cat striate cortex
1992
Neuronal Synchrony: A Versatile Code for the Definition of Relations?
1999 Standout
Mash: fast genome and metagenome distance estimation using MinHash
2016 Standout
Dictionary learning for integrative, multimodal and scalable single-cell analysis
2023 Standout
Robust Face Recognition via Sparse Representation
2009 Standout
Robust Recovery of Subspace Structures by Low-Rank Representation
2012 Standout
Neural networks and perceptual learning
2004 Nature
Horizontal integration and cortical dynamics
1992
Most Quantum States Are Too Entangled To Be Useful As Computational Resources
2009 Nobel
Signal Recovery From Random Measurements Via Orthogonal Matching Pursuit
2007 Standout
Characterizing quantum supremacy in near-term devices
2018 StandoutNobel
Approximation of zonoids by zonotopes
1989
A Comprehensive Survey of Graph Embedding: Problems, Techniques, and Applications
2018 Standout
Condition numbers of random matrices
1991
Kernel Methods for Pattern Analysis
2004 Standout
Random matrix theory
2005
Double/debiased machine learning for treatment and structural parameters
2017 StandoutNobel
The emerging field of signal processing on graphs: Extending high-dimensional data analysis to networks and other irregular domains
2013 Standout
Uniform post-selection inference for least absolute deviation regression and other Z-estimation problems
2014
Expander graphs and their applications
2006
From Sparse Solutions of Systems of Equations to Sparse Modeling of Signals and Images
2009 Standout
Principal component analysis: a review and recent developments
2016 Standout
CORTICAL PLASTICITY: From Synapses to Maps
1998 Standout
Large Violation of Bell Inequalities with Low Entanglement
2011
Compressed sensing
2006 Standout
Finding Structure with Randomness: Probabilistic Algorithms for Constructing Approximate Matrix Decompositions
2011 Standout
Image Super-Resolution Via Sparse Representation
2010 Standout
Bell nonlocality
2014 Standout
Bayesian Calibration of Computer Models
2001 Standout
Sparse Coding and Decorrelation in Primary Visual Cortex During Natural Vision
2000 StandoutScience
For most large underdetermined systems of equations, the minimal 𝓁1‐norm near‐solution approximates the sparsest near‐solution
2006
Natural Image Statistics and Neural Representation
2001 Standout
Sketching as a Tool for Numerical Linear Algebra
2014
Guaranteed Minimum-Rank Solutions of Linear Matrix Equations via Nuclear Norm Minimization
2010 Standout
Entanglement and the foundations of statistical mechanics
2006
A Simple Proof of the Restricted Isometry Property for Random Matrices
2008 Standout
Optimal Inapproximability Results for MAX‐CUT and Other 2‐Variable CSPs?
2007
Stable signal recovery from incomplete and inaccurate measurements
2006 Standout
Near-Optimal Signal Recovery From Random Projections: Universal Encoding Strategies?
2006 Standout
The Exact Constant in the Rosenthal Inequality for Random Variables with Mean Zero
2002
A Tutorial on Multilabel Learning
2015 Standout
Linear Systems Analysis of Functional Magnetic Resonance Imaging in Human V1
1996 Standout
An Introduction To Compressive Sampling
2008 Standout
For most large underdetermined systems of linear equations the minimal 𝓁1‐norm solution is also the sparsest solution
2006 Standout
Adaptation in single units in visual cortex: The tuning of aftereffects in the spatial domain
1989
$rm K$-SVD: An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation
2006 Standout
Compressed sensing quantum process tomography for superconducting quantum gates
2014 StandoutNobel
Random Vectors in the Isotropic Position
1999
A geometric analysis of subspace clustering with outliers
2012
Sampling Algorithms and Coresets for $\ell_p$ Regression
2009
Single-pixel imaging via compressive sampling
2008 Standout
Quantum tomography via compressed sensing: error bounds, sample complexity and efficient estimators
2012 Nobel
Colloquium: Nonequilibrium dynamics of closed interacting quantum systems
2011 Standout
The Variable Discharge of Cortical Neurons: Implications for Connectivity, Computation, and Information Coding
1998 Standout
Knowledge Graph Embedding: A Survey of Approaches and Applications
2017 Standout
Selection of relevant features and examples in machine learning
1997 Standout
Just relax: convex programming methods for identifying sparse signals in noise
2006 Standout
A random polynomial-time algorithm for approximating the volume of convex bodies
1991
New concentration inequalities in product spaces
1996
Decoding by Linear Programming
2005 Standout
Sparsity and incoherence in compressive sampling
2007 Standout
Deterministic and Stochastic Error Bounds in Numerical Analysis
1988
Infrared Small Target Detection via Non-Convex Rank Approximation Minimization Joint l2,1 Norm
2018 Standout
Matching Node Embeddings for Graph Similarity
2017
Most Tensor Problems Are NP-Hard
2013 Standout
Near-optimal hashing algorithms for approximate nearest neighbor in high dimensions
2008
The Application of MIMO to Non-Orthogonal Multiple Access
2015 Standout
Ensemble methods for multi-label classification
2014
Synthetic Control Methods for Comparative Case Studies: Estimating the Effect of California’s Tobacco Control Program
2010 Standout
Semantic hashing
2008 StandoutNobel
Works of Gideon Schechtman being referenced
More on embedding subspaces of $L_p$ in $l^n_r$
1987
The UGC hardness threshold of the ep Grothendieck problem
2008
Adaptation and gain normalization
1982
Complexity measures of sign matrices
2007
Embedding Subspaces ofLp into Np, 0 <p < 1
2001
The UGC Hardness Threshold of the Lp Grothendieck Problem
2010
Fine embeddings of finite-dimensional subspaces of 𝐿_{𝑝},1≤𝑝<2, into 𝑙^{𝑚}₁
1985
On the optimality of the random hyperplane rounding technique for MAX CUT
2002
Randomized approximation of bounded multicovering problems
1997
Asymptotic Theory of Finite Dimensional Normed Spaces
1986
Self-calibrated collinearity detector
1990
Extremal properties of Rademacher functions with applications to the Khintchine and Rosenthal inequalities
1997
Random embeddings of Euclidean spaces in sequence spaces
1981
Planar Earthmover Is Not in $L_1$
2007
Very tight embeddings of subspaces of L p , 1 ? p < 2, into l p n
2003
Embedding l ${}_{p}^{m}$ into l ${}_{1}^{n}$
1982