David Saad

Chi Ho Yeung, David Saad, K. Y. Michael Wong, 2008, 2008 6th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks and Workshops.

Learning from queries for maximum information gain in imperfectly learnable problems

David Saad, Peter Sollich, D. Saad, 1994, NIPS.

Exact Learning Curves for EKF Training

David Saad, B. Schottky, 1998 .

Inference and optimization of real edges on sparse graphs: a statistical physics perspective.

David Saad, K Y Michael Wong, 2007, Physical review. E, Statistical, nonlinear, and soft matter physics.

Natural gradient descent for on-line learning

Magnus Rattray, Shun-ichi Amari, David Saad, 1998 .

Sparsely spread CDMA—a statistical mechanics-based analysis pdf

David Saad, Jack Raymond, D. Saad, 2007, ArXiv.

Preserving the Diversity of a Genetically Evolving Population of Nets Using the Functional Behavior of Neurons

David Saad, Emanuel Marom, Nachum Shamir, 1993, Complex Syst..

Scalable Influence Estimation Without Sampling pdf

David Saad, Andrey Y. Lokhov, 2019, ArXiv.

Low-density parity-check codes—A statistical physics perspective

Yoshiyuki Kabashima, David Saad, Renato Vicente, 2002 .

Radial Basis Function Networks: Generalization in Over-realizable and Unrealizable Scenarios

David Saad, Jason A. S. Freeman, D. Saad, 1996, Neural Networks.

Evaluating Decoding Reliability in Gallager Codes Using Replica Method

David Saad, Naoya Sazuka, Yoshiyuki Kabashima, 2001 .

Chimera-like states in structured heterogeneous networks.

David Saad, Bo Li, 2017, Chaos.

The Theory of On-line Learning — A Statistical Physics Approach

David Saad, 2003 .

Training Feed Forward Nets with Binary Weights via a Modified CHIR Algorithm

David Saad, Emanuel Marom, D. Saad, 1990, Complex Syst..

Optimal deployment of resources for maximizing impact in spreading processes

David Saad, Andrey Y. Lokhov, D. Saad, 2016, Proceedings of the National Academy of Sciences.

Online Learning in Radial Basis Function Networks

David Saad, Jason A. S. Freeman, D. Saad, 1997, Neural Computation.

Distributed Optimization in Transportation and Logistics Networks

Chi Ho Yeung, David Saad, K. Y. Michael Wong, 2016, IEICE Trans. Commun..

Minimizing unsatisfaction in colourful neighbourhoods

David Saad, K. Y. Michael Wong, D. Saad, 2007, 0704.3835.

Does Extra Knowledge Necessarily Improve Generalization?

David Barber, David Saad, D. Saad, 1996, Neural Computation.

Natural gradient matrix momentum

Magnus Rattray, Silvia Scarpetta, David Saad, 1999 .

Data underpinning publication "Optimal distribution in smart grids with volatile renewable sources using a message passing algorithm"

David Saad, Elizabeth Harrison, Kym Wong, 2017 .

The Interplay between Microscopic and Mesoscopic Structures in Complex Networks

David Saad, Jörg Reichardt, Roberto Alamino, 2010, PloS one.

On-line learning in multilayer neural networks

David Saad, Sara A. Solla, 1997 .

Training Recurrent Neural Networks - The Minimal Trajectory Algorithm

David Saad, 1992, Int. J. Neural Syst..

Belief propagation vs. TAP for decoding corrupted messages

Yoshiyuki Kabashima, David Saad, D. Saad, 1998 .

Composite CDMA—a statistical mechanics analysis pdf

David Saad, Jack Raymond, D. Saad, 2008, ArXiv.

The Competition for Shortest Paths on Sparse Graphs

Chi Ho Yeung, David Saad, D. Saad, 2012, Physical review letters.

The Space of Functions Computed By Deep Layered Machines

Bo Li, David Saad, Alexander Mozeika, 2020, Physical review letters.

Reducing urban traffic congestion due to localized routing decisions

Bo Li, David Saad, Andrey Y. Lokhov, 2020 .

Mesoscopic Structure in Complex Networks

David Saad, Joerg Reichardt, Roberto C. Alamino, 2010 .

Competition, Collaboration, and Optimization in Multiple Interacting Spreading Processes

David Saad, Andrey Y. Lokhov, Hanlin Sun, 2019, Physical Review X.

Compression by replication.

David Saad, Roberto C Alamino, Juan P Neirotti, 2014, Physical review. E, Statistical, nonlinear, and soft matter physics.

Training a network with ternary weights using the CHIR algorithm

David Saad, Emanuel Marom, Shai Abramson, 1993, IEEE Trans. Neural Networks.

Test Error Fluctuations in Finite Linear Perceptrons

David Barber, David Saad, Peter Sollich, 1995, Neural Computation.

Knowledge and generalisation in simple learning systems

David Barber, David Saad, D. Saad, 1995, The European Symposium on Artificial Neural Networks.

The Learning Dynamcis of a Universal Approximator

Ansgar Heinrich Ludolf West, David Saad, Ian T. Nabney, 1996, NIPS.

Globally optimal learning rates for multilayer neural networks

Magnus Rattray, David Saad, 1998 .

Networking—a statistical physics perspective

Chi Ho Yeung, David Saad, D. Saad, 2011, 1110.2931.

General Gaussian Priors for Improved Generalization

David Saad, 1996, Neural Networks.

Impact of presymptomatic transmission on epidemic spreading in contact networks: A dynamic message-passing analysis.

David Saad, Bo Li, D. Saad, 2020, Physical review. E.

Equilibration through local information exchange in networks.

David Saad, K Y Michael Wong, D. Saad, 2005, Physical review. E, Statistical, nonlinear, and soft matter physics.

Networks and Networking - A Statistical Physics Perspective pdf

Chi Ho Yeung, David Saad, 2011, ArXiv.

Improved message passing for inference in densely connected systems pdf

David Saad, Juan Pablo Neirotti, D. Saad, 2005, ArXiv.

Final Report on EPSRC Research Grant GR/L52093

David Saad, 2000 .

Weight vs. Magnetization Enumerator for Gallager Codes

Yoshiyuki Kabashima, David Saad, Jort van Mourik, 2001, IMACC.

Regular and Irregular Gallager-zype Error-Correcting Codes

Yoshiyuki Kabashima, David Saad, Renato Vicente, 1999, NIPS.

Independent Component Analysis for Domain Independent Watermarking

David Saad, Stéphane Bounkong, David Lowe, 2002, ICANN.

Replication-based inference algorithms for hard computational problems.

David Saad, Roberto C Alamino, Juan P Neirotti, 2013, Physical review. E, Statistical, nonlinear, and soft matter physics.

Hyperparameters Evidence and Generalisation for an Unrealisable Rule

David Saad, Glenn Marion, 1994, NIPS.

Training Recurrent Neural Networks via Trajectory Modification

David Saad, 1992, Complex Syst..

Randomness and metastability in CDMA paradigms

David Saad, Jack Raymond, 2008, WiOpt 2008.

Message passing for task redistribution on sparse graphs

David Saad, K. Y. Michael Wong, Zhuo Gao, 2005, NIPS.

Adaptive TAP Equations

Manfred Opper, David Saad, 2001 .

The Attenuated Max-Product Algorithm

Manfred Opper, David Saad, 2001 .

Globally optimal on-line learning rules for multi-layer neural networks

Magnus Rattray, David Saad, 1997, NIPS 1997.

Typical performance of generalised vector channels

David Saad, Roberto Alamino, D. Saad, 2008, 2008 6th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks and Workshops.

Efficient Bayesian inference for learning in the Ising linear perceptron and signal detection in CDMA

David Saad, Juan P. Neirotti, 2006 .

Phase transitions and memory effects in the dynamics of Boolean networks

David Saad, Alexander Mozeika, 2012 .

Computing with Noise - Phase Transitions in Boolean Formulas

David Saad, Jack Raymond, Alexander Mozeika, 2009, Physical review letters.

Randomness and metastability in CDMA paradigms

David Saad, Jack Raymond, 2008, 2008 6th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks and Workshops.

Improved detection in CDMA for biased sources

Ido Kanter, David Saad, Hadar Efraim, 2007 .

Challenges of modern interconnected complex systems

David Saad, 2019 .

High storage capacity in the Hopfield model with auto-interactions—stability analysis

David Saad, Daniele Tantari, Jacopo Rocchi, 2017, 1704.07741.

Resource allocation in sparse graphs

Zhuo Gao, David Saad, K. Y. Michael Wong, 2005 .

Learning with Noise and Regularizers in Multilayer Neural Networks

David Saad, Sara A. Solla, D. Saad, 1996, NIPS.

Final report on EPSRC research grant GR/L19232

David Saad, 1999 .

Network optimisation - A statistical physics perspective

Chi Ho Yeung, David Saad, K.Y.M. Wong, 2008, WiOpt 2008.

Two Approaches to Optimal Annealing

David Saad, Todd K. Leen, Bernhard Schottky, 1997, NIPS.

Typical performance of generalised vector channels

David Saad, Roberto C. Alamino, 2008, WiOpt 2008.

Message-passing algorithms for optimal utilization of cognitive radio networks

David Saad, Leonidas Georgiadis, Georgios Rodolakis, 2013, 2013 IEEE International Conference on Communications Workshops (ICC).

Bayesian inference in densely connected networks applied to CDMA

David Saad, Juan P. Neirotti, 2005 .

Physics-inspired methods for networking and communications

Leandros Tassiulas, Paolo Giaccone, Chi Ho Yeung, 2014, IEEE Communications Magazine.

Dynamics of On-Line Gradient Descent Learning for Multilayer Neural Networks

David Saad, Sara A. Solla, D. Saad, 1995, NIPS.

Efficient Training of Recurrent Neural Network with Time Delays

Emanuel Marom, David Saad, Barak Cohen, 1997, Neural Networks.

Graphical Models and Variational Methods

Manfred Opper, David Saad, 2001 .

Optimal distribution in smart grids with volatile renewable sources using a message passing algorithm

David Saad, Elizabeth Harrison, K. Y. Michael Wong, 2016 .

Neural Net Pruning Based On Functional Behavior Of Neurons

David Saad, Emanuel Marom, Nachum Shamir, 1993, Int. J. Neural Syst..

Using the Functional Behavior of Neurons for Genetic Recombination in Neural Nets Training

David Saad, Emanuel Marom, Nachum Shamir, 1993, Complex Syst..

Globally Optimal On-line Learning Rules

Magnus Rattray, David Saad, 1997, NIPS.

Large Deviation Analysis of Function Sensitivity in Random Deep Neural Networks pdf

Bo Li, David Saad, 2019, ArXiv.

Message passing for distributed optimisation of power allocation with renewable resources

David Saad, Elizabeth Harrison, K. Y. Michael Wong, 2016, 2016 2nd International Conference on Intelligent Green Building and Smart Grid (IGBSG).

Theoretical Approaches to On-line Learning in Smooth Multilayer Nets

Magnus Rattray, David Saad, 1999 .

Statistical Physics of Low Density Parity Check Error Correcting Codes

Yoshiyuki Kabashima, David Saad, Renato Vicente, 2001, IMACC.

Error-correcting Codes on a Bethe-like Lattice

Yoshiyuki Kabashima, David Saad, Renato Vicente, 2000, NIPS.

Learning by Choice of Internal Representations: An Energy Minimization Approach

David Saad, Emanuel Marom, D. Saad, 1990, Complex Syst..

Statistical mechanics of broadcast channels using low-density parity-check codes.

David Saad, Robert Morelos-Zaragoza, Yoshiyuki Kabashima, 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.

Shortest node-disjoint paths on random graphs pdf

Chi Ho Yeung, David Saad, Silvio Franz, 2014, ArXiv.

On Reliable Computation by Noisy Random Boolean Formulas

David Saad, Alexander Mozeika, 2015, IEEE Transactions on Information Theory.

From the physics of interacting polymers to optimizing routes on the London Underground

Chi Ho Yeung, David Saad, K. Y. Michael Wong, 2013, Proceedings of the National Academy of Sciences.

Saddle-point Methods for Intractable Graphical Models

Manfred Opper, David Saad, 2001 .

Distributed algorithms for global optimization on sparse networks of arbitrary bandwidths

Chi Ho Yeung, David Saad, K. Y. Michael Wong, 2006 .

The interplay of microscopic and mesoscopic structure in complex networks pdf

David Saad, Jörg Reichardt, Roberto Alamino, 2010, ArXiv.

Final Report on EPSRC Research Grant GR/N00562

David Saad, 2002 .

Statistical theories of learning in radial basis function networks

David Saad, Jason A. S. Freeman, Mark J.L. Orr, 1998, Algorithms and Architectures.

Watermarking of audio signals using independent component analysis

David Saad, Borémi Toch, David Lowe, 2003, Proceedings Third International Conference on WEB Delivering of Music.

Examining the Chir Algorithm Performance for Multilayer Networks and Continuous Input Vectors

David Saad, R. Sasson, 1992, Int. J. Neural Syst..

ICA for Watermarking Digital Images

David Saad, Stéphane Bounkong, Borémi Toch, 2003, J. Mach. Learn. Res..

Optimal on-line learning in multilayer neural networks

Magnus Rattray, David Saad, M. Rattray, 1999 .

Scalable Node-Disjoint and Edge-Disjoint Multi-wavelength Routing pdf

Chi Ho Yeung, David Saad, Ho Fai Po, 2021, Physical review. E.

Bilevel Optimization in Flow Networks -- A Message-passing Approach

David Saad, Bo Li, 2021 .

Data dependent hyperparameter assignment

David Saad, Glenn Marion, 1997 .

Properties of sparse random matrices over finite fields

David Saad, Roberto C. Alamino, D. Saad, 2009 .

Finite-size effects and error-free communication in Gaussian channels

Ido Kanter, David Saad, 2000 .

Statistical mechanics of hypothesis evaluation

David Saad, A D Bruce, D. Saad, 1994 .

Finite size effects in on-line learning of multi-layer neural networks

David Barber, David Saad, Peter Sollich, 1997 .

Statistical mechanics analysis of LDPC coding in MIMO Gaussian channels

David Saad, Roberto C. Alamino, D. Saad, 2007, 0705.1644.

Inference by belief propagation in composite systems.

David Saad, D. Saad, Etienne Mallard, 2008, Physical review. E, Statistical, nonlinear, and soft matter physics.

Average error exponent in Gallager low-density parity-check codes

Yoshiyuki Kabashima, David Saad, Jort van Mourik, 2002 .

Composite systems of dilute and dense couplings

David Saad, Jack Raymond, D. Saad, 2008, 0802.4447.

Optimal asymptotic learning rate: Macroscopic versus microscopic dynamics

David Saad, Todd K. Leen, Bernhard Schottky, 1999 .

Statistical physics of irregular low-density parity-check codes

Yoshiyuki Kabashima, David Saad, D. Saad, 2000 .

On-line learning with adaptive back-propagation in two-layer networks

David Saad, Ansgar H. L. West, 1997 .

Finite-size effects in Bayesian model selection and generalization

David Saad, Glenn Marion, 1996 .

Statistical mechanics of low-density parity check error-correcting codes over Galois fields

Yoshiyuki Kabashima, David Saad, Kazutaka Nakamura, 2000 .

TAP for Parity Check Error Correcting Codes

Yoshiyuki Kabashima, David Saad, Renato Vicente, 2001 .

Transients and asymptotics of natural gradient learning

Magnus Rattray, David Saad, 1998 .

Capacity of the single-layer perceptron and minimal trajectory training algorithms

David Saad, D. Saad, 1993 .

Dynamics of Boolean networks: an exact solution.

David Saad, Alexander Mozeika, 2011, Physical review letters.

Public key cryptography and error correcting codes as Ising models

Yoshiyuki Kabashima, David Saad, Tatsuto Murayama, 2001 .

Finite-connectivity spin-glass phase diagrams and low-density parity check codes.

David Saad, Gabriele Migliorini, D. Saad, 2006, Physical review. E, Statistical, nonlinear, and soft matter physics.

The statistical mechanics of constructive algorithms

David Saad, D. Saad, A. West, 1998 .

Finite-size effects in on-line learning of multilayer neural networks

David Barber, David Saad, Peter Sollich, 1996 .

Globally optimal parameters for on-line learning in multilayer neural networks

Magnus Rattray, David Saad, 1997 .

M ar 2 00 0 The Statistical Physics of Regular Low-Density Parity-Check Error-Correcting Codes

Yoshiyuki Kabashima, David Saad, Tatsuto Murayama, 2000 .

A statistical mechanical analysis of a Bayesian inference scheme for an unrealizable rule

David Saad, Glenn Marion, 1995 .

The Dynamics of Matrix Momentum

Magnus Rattray, David Saad, 1998 .