David Saad

Orcid: 0000-0001-9821-2623

According to our database1, David Saad authored at least 65 papers between 1990 and 2022.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2022
Message Passing: Towards Low-Complexity, Global Optimal Routing and Wavelength Assignment Solutions for Optical Networks.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2022

2021
Scalable Node-Disjoint and Edge-Disjoint Multi-wavelength Routing.
CoRR, 2021

2020
The Space of Functions Computed By Deep Layered Machines.
CoRR, 2020

2019
Scalable Influence Estimation Without Sampling.
CoRR, 2019

Large Deviation Analysis of Function Sensitivity in Random Deep Neural Networks.
CoRR, 2019

2018
Self-Organization Scheme for Balanced Routing in Large-Scale Multi-Hop Networks.
CoRR, 2018

2017
Optimal deployment of resources for maximizing impact in spreading processes.
Proc. Natl. Acad. Sci. USA, 2017

Exploring the Function Space of Deep-Learning Machines.
CoRR, 2017

2016
Distributed Optimization in Transportation and Logistics Networks.
IEICE Trans. Commun., 2016

2015
On Reliable Computation by Noisy Random Boolean Formulas.
IEEE Trans. Inf. Theory, 2015

2014
Shortest node-disjoint paths on random graphs.
CoRR, 2014

Physics-inspired methods for networking and communications.
IEEE Commun. Mag., 2014

2013
From the Physics of Interacting Polymers to Optimizing Routes on the London Underground.
CoRR, 2013

Message-passing algorithms for optimal utilization of cognitive radio networks.
Proceedings of the IEEE International Conference on Communications, 2013

2012
The Competition for Shortest Paths on Sparse Graphs
CoRR, 2012

2011
Networks and Networking - A Statistical Physics Perspective
CoRR, 2011

2010
The interplay of microscopic and mesoscopic structure in complex networks
CoRR, 2010

2009
Computing with Noise - Phase Transitions in Boolean Formulas
CoRR, 2009

2008
Composite CDMA - A statistical mechanics analysis
CoRR, 2008

Network optimisation - A statistical physics perspective.
Proceedings of the 6th International Symposium on Modeling and Optimization in Mobile, 2008

Randomness and metastability in CDMA paradigms.
Proceedings of the 6th International Symposium on Modeling and Optimization in Mobile, 2008

Typical performance of generalised vector channels.
Proceedings of the 6th International Symposium on Modeling and Optimization in Mobile, 2008

2007
Minimizing Unsatisfaction in Colorful Neighborhoods
CoRR, 2007

Sparsely-spread CDMA - a statistical mechanics based analysis
CoRR, 2007

2006
Message-Passing for Inference and Optimization of Real Variables on Sparse Graphs.
Proceedings of the Neural Information Processing, 13th International Conference, 2006

2005
Improved message passing for inference in densely connected systems
CoRR, 2005

Message passing for task redistribution on sparse graphs.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Optimal Embedding for Watermarking in Discrete Data Spaces.
Proceedings of the Information Hiding, 7th International Workshop, 2005

2003
ICA for Watermarking Digital Images.
J. Mach. Learn. Res., 2003

Watermarking of audio signals using independent component analysis.
Proceedings of the 3rd International Conference on WEB Delivering of Music (WEDELMUSIC 2003), 2003

2002
Independent Component Analysis for Domain Independent Watermarking.
Proceedings of the Artificial Neural Networks, 2002

2001
Statistical Physics of Low Density Parity Check Error Correcting Codes.
Proceedings of the Cryptography and Coding, 2001

Weight vs. Magnetization Enumerator for Gallager Codes.
Proceedings of the Cryptography and Coding, 2001

2000
Error-correcting Codes on a Bethe-like Lattice.
Proceedings of the Advances in Neural Information Processing Systems 13, 2000

1999
Regular and Irregular Gallager-zype Error-Correcting Codes.
Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999

1998
The Belief in TAP.
Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998

Dynamics of Supervised Learning with Restricted Training Sets.
Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998

Statistical theories of learning in radial basis function networks.
Proceedings of the Algorithms and Architectures., 1998

1997
Efficient Training of Recurrent Neural Network with Time Delays.
Neural Networks, 1997

Online Learning in Radial Basis Function Networks.
Neural Comput., 1997

Globally Optimal On-line Learning Rules.
Proceedings of the Advances in Neural Information Processing Systems 10, 1997

Two Approaches to Optimal Annealing.
Proceedings of the Advances in Neural Information Processing Systems 10, 1997

1996
General Gaussian Priors for Improved Generalization.
Neural Networks, 1996

Radial Basis Function Networks: Generalization in Over-realizable and Unrealizable Scenarios.
Neural Networks, 1996

Does Extra Knowledge Necessarily Improve Generalization?
Neural Comput., 1996

The Learning Dynamcis of a Universal Approximator.
Proceedings of the Advances in Neural Information Processing Systems 9, 1996

Learning with Noise and Regularizers in Multilayer Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 9, 1996

1995
Learning and generalization in radial basis function networks.
Neural Comput., 1995

Test Error Fluctuations in Finite Linear Perceptrons.
Neural Comput., 1995

Adaptive Back-Propagation in On-Line Learning of Multilayer Networks.
Proceedings of the Advances in Neural Information Processing Systems 8, 1995

Dynamics of On-Line Gradient Descent Learning for Multilayer Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 8, 1995

Knowledge and generalisation in simple learning systems.
Proceedings of the 3rd European Symposium on Artificial Neural Networks, 1995

1994
Learning from queries for maximum information gain in imperfectly learnable problems.
Proceedings of the Advances in Neural Information Processing Systems 7, 1994

Hyperparameters Evidence and Generalisation for an Unrealisable Rule.
Proceedings of the Advances in Neural Information Processing Systems 7, 1994

1993
Training a network with ternary weights using the CHIR algorithm.
IEEE Trans. Neural Networks, 1993

Neural Net Pruning Based On Functional Behavior Of Neurons.
Int. J. Neural Syst., 1993

Using the Functional Behavior of Neurons for Genetic Recombination in Neural Nets Training.
Complex Syst., 1993

Preserving the Diversity of a Genetically Evolving Population of Nets Using the Functional Behavior of Neurons.
Complex Syst., 1993

1992
Improving training methods in neural networks via modification of the internal representations
PhD thesis, 1992

Examining the Chir Algorithm Performance for Multilayer Networks and Continuous Input Vectors.
Int. J. Neural Syst., 1992

Training Recurrent Neural Networks - The Minimal Trajectory Algorithm.
Int. J. Neural Syst., 1992

Training Recurrent Neural Networks via Trajectory Modification.
Complex Syst., 1992

1991
Complex Systems: Errata and Changes Volumes 3 and 4.
Complex Syst., 1991

1990
Training Feed Forward Nets with Binary Weights via a Modified CHIR Algorithm.
Complex Syst., 1990

Learning by Choice of Internal Representations: An Energy Minimization Approach.
Complex Syst., 1990


  Loading...