Citation Impact
Citing Papers
Tensor decompositions for learning latent variable models
2014 Standout
Using Deep Belief Nets to Learn Covariance Kernels for Gaussian Processes
2007 StandoutNobel
Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion
2010 Standout
Toward Deeper Understanding of Neural Networks: The Power of Initialization and a Dual View on Expressivity
2016
Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Examples
2006 Standout
Learning Mixtures of Product Distributions Using Correlations and Independence.
2008
2012
Barren plateaus in quantum neural network training landscapes
2018 Standout
Classical command of quantum systems
2013 Nature
Mash: fast genome and metagenome distance estimation using MinHash
2016 Standout
The Graph Neural Network Model
2008 Standout
Discovering faster matrix multiplication algorithms with reinforcement learning
2022 StandoutNatureNobel
Angular synchronization by eigenvectors and semidefinite programming
2010
Tracking-Learning-Detection
2011 Standout
Characterizing quantum supremacy in near-term devices
2018 StandoutNobel
Tensor Decomposition for Signal Processing and Machine Learning
2017 Standout
Semi-Supervised Learning Literature Survey
2005 Standout
Past, present, and future of simultaneous localization and mapping: Toward the robust-perception age
2016 Standout
Monogamy of non-local quantum correlations
2008
Deep Learning with Differential Privacy
2016 Standout
Bell nonlocality
2014 Standout
Quantum approximate optimization algorithm for MaxCut: A fermionic view
2018
A survey on semi-supervised learning
2019 Standout
Mining of Massive Datasets
2011 Standout
Achieving quantum supremacy with sparse and noisy commuting quantum computations
2017
Quantum algorithms: an overview
2016
Semi-Supervised Learning
2006 Standout
Data clustering: 50 years beyond K-means
2009 Standout
Unique Games with Entangled Provers Are Easy
2010
A tutorial on spectral clustering
2007 Standout
Quantum Computing in the NISQ era and beyond
2018 Standout
Most Tensor Problems Are NP-Hard
2013 Standout
Chemical gas sensor drift compensation using classifier ensembles
2012 Standout
Works of Ryan O’Donnell being referenced
Learning intersections and thresholds of halfspaces
2004
Optimal lower bounds for locality sensitive hashing (except when q is tiny)
2005
Noise stability of functions with low influences: Invariance and optimality
2010
Learning mixtures of product distributions over discrete domains
2005
Optimal Inapproximability Results for MAX‐CUT and Other 2‐Variable CSPs?
2007
Understanding Parallel Repetition Requires Understanding Foams
2007
Beating the Random Assignment on Constraint Satisfaction Problems of Bounded Degree
2015
Analysis of Boolean Functions
2014