Citation Impact

Citing Papers

Message-passing algorithms for compressed sensing
2009 Standout
Landscape analysis of constraint satisfaction problems
2007
The backtracking survey propagation algorithm for solving random K-SAT problems
2016 StandoutNobel
Theory of Amorphous Packings of Binary Mixtures of Hard Spheres
2009 StandoutNobel
Functional cartography of complex metabolic networks
2005 StandoutNature
Fast and Accurate Modeling of Molecular Atomization Energies with Machine Learning
2012 Standout
Quantum machine learning
2017 StandoutNature
Human-level control through deep reinforcement learning
2015 StandoutNatureNobel
Classification and mutation prediction from non–small cell lung cancer histopathology images using deep learning
2018 Standout
Noise in the nervous system
2008 Standout
Machine learning for molecular and materials science
2018 StandoutNature
Executive function in preschoolers: A review using an integrative framework.
2008 Standout
Exact Solutions for Diluted Spin Glasses and Optimization Problems
2001
A Fast Learning Algorithm for Deep Belief Nets
2006 StandoutNobel
Universal Microstructure and Mechanical Stability of Jammed Packings
2012 StandoutNobel
Fully hardware-implemented memristor convolutional neural network
2020 StandoutNature
Long-Range Anomalous Decay of the Correlation in Jammed Packings
2021 StandoutNobel
Phase transitions in the coloring of random graphs
2007
Modularity from fluctuations in random graphs and complex networks
2004
Deep learning and process understanding for data-driven Earth system science
2019 StandoutNature
Deep learning
2015 StandoutNatureNobel
Representation Learning: A Review and New Perspectives
2013 Standout
Neuroscience-Inspired Artificial Intelligence
2017 StandoutNobel
Entropies of complex networks with hierarchically constrained topologies
2008
Fractal free energy landscapes in structural glasses
2014 StandoutNobel
Modeling Natural Images Using Gated MRFs
2013 StandoutNobel
A general approach for predicting the behavior of the Supreme Court of the United States
2017 Standout
Deep learning in neural networks: An overview
2014 Standout
Glass Transition and Random Close Packing above Three Dimensions
2011 StandoutNobel
The Loss Surfaces of Multilayer Networks
2014
Machine learning: Trends, perspectives, and prospects
2015 StandoutScience
Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review
2017 Standout
Machine learning for data-driven discovery in solid Earth geoscience
2019 StandoutScience
A Numerical Study on Learning Curves in Stochastic Multilayer Feedforward Networks
1996
All-optical machine learning using diffractive deep neural networks
2018 StandoutScience
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
2021 Standout
Sums over geometries and improvements on the mean field approximation
2007
Fast Curvature Matrix-Vector Products for Second-Order Gradient Descent
2002
Community detection in graphs
2009 Standout
On the Freezing of Variables in Random Constraint Satisfaction Problems
2007
Analytic and Algorithmic Solution of Random Satisfiability Problems
2002 StandoutScienceNobel
Clustering by Passing Messages Between Data Points
2007 StandoutScience
Mean-field theory of hard sphere glasses and jamming
2010 StandoutNobel
Finite-size corrections to disordered systems on Erdös-Rényi random graphs
2013 StandoutNobel
A CDMA multiuser detection algorithm on the basis of belief propagation
2003
Resolution limit in community detection
2006 Standout
Predicting the Behavior of the Supreme Court of the United States: A General Approach
2014
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
2017 Standout
Universal spectrum of normal modes in low-temperature glasses
2015 StandoutNobel
Machine Learning Methods That Economists Should Know About
2019 StandoutNobel
Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations
2018 Standout
Human-level concept learning through probabilistic program induction
2015 StandoutScience
Generalization of the cavity method for adiabatic evolution of Gibbs states
2010
Two-step relaxation next to dynamic arrest in mean-field glasses: Spherical and Isingp-spin model
2012 StandoutNobel
On the Number of Limit Cycles in Diluted Neural Networks
2020 StandoutNobel
Using recurrent neural networks to optimize dynamical decoupling for quantum memory
2017
Bicolouring random hypergraphs
2003
Fast unfolding of communities in large networks
2008 Standout
Passing Messages Between Disciplines
2003 Science
Connectionist models of development
2003
Finitely coordinated models for low-temperature phases of amorphous systems
2007
Large deviations of correlation functions in random magnets
2014 StandoutNobel
Exact Theory of Dense Amorphous Hard Spheres in High Dimension. II. The High Density Regime and the Gardner Transition
2013 StandoutNobel
Statistical Physics of Spin Glasses and Information Processing
2001
Finite-size scaling of the de Almeida–Thouless instability in random sparse networks
2010
Image Super-Resolution Using Deep Convolutional Networks
2015 Standout
Impact of jamming criticality on low-temperature anomalies in structural glasses
2019 StandoutNobel
A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects
2021 Standout
Gradient-based learning applied to document recognition
1998 Standout
Natural Gradient Works Efficiently in Learning
1998
Parisi Phase in a Neuron
1997
Information, Physics, and Computation
2009

Works of David Saad being referenced

Dynamics of On-Line Gradient Descent Learning for Multilayer Neural Networks
1995
On-Line Learning in Neural Networks
1999
Finite-connectivity spin-glass phase diagrams and low-density parity check codes
2006
Finite-connectivity systems as error-correcting codes
1999
Random graph coloring: Statistical physics approach
2002
Cryptographical Properties of Ising Spin Systems
2000
Slow spin dynamics and self-sustained clusters in sparsely connected systems
2018
Analysis of on-line training with optimal learning rates
1998
Analysis of natural gradient descent for multilayer neural networks
1999
Typical Performance of Gallager-Type Error-Correcting Codes
2000
Sparsely spread CDMA—a statistical mechanics-based analysis
2007
Belief propagation vs. TAP for decoding corrupted messages
1998
Cascading parity-check error-correcting codes
2000
Exact Solution for On-Line Learning in Multilayer Neural Networks
1995
Adaptive Back-Propagation in On-Line Learning of Multilayer Networks
1995
Error-Correcting Codes That Nearly Saturate Shannon's Bound
1999
On-line learning in soft committee machines
1995
Statistical mechanics of error-correcting codes
1999
Dynamics of learning with restricted training sets
2000
On-Line Learning in Neural Networks
2000
Statistical physics of regular low-density parity-check error-correcting codes
2000
Threshold-induced phase transitions in perceptrons
1997
Natural Gradient Descent for On-Line Learning
1998
Matrix momentum for practical natural gradient learning
1999
Error-correcting code on a cactus: A solvable model
2000
Online Learning in Radial Basis Function Networks
1997
Rankless by CCL
2026