David Saad

Publication Activity (10 Years)

Years Active: 1990-2022
Publications (10 Years): 10

Top Topics

Loopy Belief Propagation

Boolean Formula

Learning Machines

Top Venues

IEEE Trans. Inf. Theory

IEICE Trans. Commun.

Publications

Ruijie Luo, Yi-Zhi Xu, Robin Matzner, Georgios Zervas, David Saad, Polina Bayvel
Message Passing: Towards Low-Complexity, Global Optimal Routing and Wavelength Assignment Solutions for Optical Networks. OFC (2022)
Yi-Zhi Xu, Ho Fai Po, Chi Ho Yeung, David Saad
Scalable Node-Disjoint and Edge-Disjoint Multi-wavelength Routing. CoRR (2021)
Alexander Mozeika, Bo Li, David Saad
The Space of Functions Computed By Deep Layered Machines. CoRR (2020)
Andrey Y. Lokhov, David Saad
Scalable Influence Estimation Without Sampling. CoRR (2019)
Bo Li, David Saad
Large Deviation Analysis of Function Sensitivity in Random Deep Neural Networks. CoRR (2019)
Mihai-Alin Badiu, David Saad, Justin P. Coon
Self-Organization Scheme for Balanced Routing in Large-Scale Multi-Hop Networks. CoRR (2018)
Andrey Y. Lokhov, David Saad
Optimal deployment of resources for maximizing impact in spreading processes. Proc. Natl. Acad. Sci. USA 114 (39) (2017)
Bo Li, David Saad
Exploring the Function Space of Deep-Learning Machines. CoRR (2017)
K. Y. Michael Wong, David Saad, Chi Ho Yeung
Distributed Optimization in Transportation and Logistics Networks. IEICE Trans. Commun. (11) (2016)
Andrey Y. Lokhov, David Saad
Optimal Deployment of Resources for Maximizing Impact in Spreading Processes. CoRR (2016)
Alexander Mozeika, David Saad
On Reliable Computation by Noisy Random Boolean Formulas. IEEE Trans. Inf. Theory 61 (1) (2015)
Caterina De Bacco, Silvio Franz, David Saad, Chi Ho Yeung
Shortest node-disjoint paths on random graphs. CoRR (2014)
David Saad, Chi Ho Yeung, Georgios Rodolakis, Dimitris Syrivelis, Iordanis Koutsopoulos, Leandros Tassiulas, Rüdiger L. Urbanke, Paolo Giaccone, Emilio Leonardi
Physics-inspired methods for networking and communications. IEEE Commun. Mag. 52 (11) (2014)
Chi Ho Yeung, David Saad, K. Y. Michael Wong
From the Physics of Interacting Polymers to Optimizing Routes on the London Underground. CoRR (2013)
Hamed Mahmoudi, Georgios Rodolakis, Leonidas Georgiadis, David Saad
Message-Passing Algorithms for Optimal Utilization of Cognitive Radio Networks. CoRR (2013)
Hamed Mahmoudi, Georgios Rodolakis, Leonidas Georgiadis, David Saad
Message-passing algorithms for optimal utilization of cognitive radio networks. ICC Workshops (2013)
Chi Ho Yeung, David Saad
The Competition for Shortest Paths on Sparse Graphs CoRR (2012)
Chi Ho Yeung, David Saad
Networks and Networking - A Statistical Physics Perspective CoRR (2011)
Joerg Reichardt, Roberto Alamino, David Saad
The interplay of microscopic and mesoscopic structure in complex networks CoRR (2010)
Alexander Mozeika, David Saad, Jack Raymond
Computing with Noise - Phase Transitions in Boolean Formulas CoRR (2009)
Jack Raymond, David Saad
Randomness and metastability in CDMA paradigms. WiOpt (2008)
Jack Raymond, David Saad
Composite CDMA - A statistical mechanics analysis CoRR (2008)
K. Y. Michael Wong, David Saad, Chi Ho Yeung
Network optimisation - A statistical physics perspective. WiOpt (2008)
Roberto Alamino, David Saad
Typical performance of generalised vector channels. WiOpt (2008)
K. Y. Michael Wong, David Saad
Minimizing Unsatisfaction in Colorful Neighborhoods CoRR (2007)
Jack Raymond, David Saad
Sparsely-spread CDMA - a statistical mechanics based analysis CoRR (2007)
K. Y. Michael Wong, Chi Ho Yeung, David Saad
Message-Passing for Inference and Optimization of Real Variables on Sparse Graphs. ICONIP (2) (2006)
K. Y. Michael Wong, David Saad, Zhuo Gao
Message passing for task redistribution on sparse graphs. NIPS (2005)
Stéphane Bounkong, Borémi Toch, David Saad
Optimal Embedding for Watermarking in Discrete Data Spaces. Information Hiding (2005)
Juan P. Neirotti, David Saad
Improved message passing for inference in densely connected systems CoRR (2005)
Stéphane Bounkong, Borémi Toch, David Saad, David Lowe
ICA for Watermarking Digital Images. J. Mach. Learn. Res. 4 (2003)
Borémi Toch, David Lowe, David Saad
Watermarking of audio signals using independent component analysis. WEDELMUSIC (2003)
Stéphane Bounkong, David Saad, David Lowe
Independent Component Analysis for Domain Independent Watermarking. ICANN (2002)
Jort van Mourik, David Saad, Yoshiyuki Kabashima
Weight vs. Magnetization Enumerator for Gallager Codes. IMACC (2001)
David Saad, Yoshiyuki Kabashima, Tatsuto Murayama, Renato Vicente
Statistical Physics of Low Density Parity Check Error Correcting Codes. IMACC (2001)
Renato Vicente, David Saad, Yoshiyuki Kabashima
Error-correcting Codes on a Bethe-like Lattice. NIPS (2000)
Yoshiyuki Kabashima, Tatsuto Murayama, David Saad, Renato Vicente
Regular and Irregular Gallager-zype Error-Correcting Codes. NIPS (1999)
Anthony C. C. Coolen, David Saad
Dynamics of Supervised Learning with Restricted Training Sets. NIPS (1998)
Yoshiyuki Kabashima, David Saad
The Belief in TAP. NIPS (1998)
Magnus Rattray, David Saad
Globally Optimal On-line Learning Rules. NIPS (1997)
Barak Cohen, David Saad, Emanuel Marom
Efficient Training of Recurrent Neural Network with Time Delays. Neural Networks 10 (1) (1997)
Jason A. S. Freeman, David Saad
Online Learning in Radial Basis Function Networks. Neural Comput. 9 (7) (1997)
Todd K. Leen, Bernhard Schottky, David Saad
Two Approaches to Optimal Annealing. NIPS (1997)
David Saad, Sara A. Solla
Learning with Noise and Regularizers in Multilayer Neural Networks. NIPS (1996)
David Barber, David Saad
Does Extra Knowledge Necessarily Improve Generalization? Neural Comput. 8 (1) (1996)
Jason A. S. Freeman, David Saad
Radial Basis Function Networks: Generalization in Over-realizable and Unrealizable Scenarios. Neural Networks 9 (9) (1996)
Ansgar Heinrich Ludolf West, David Saad, Ian T. Nabney
The Learning Dynamcis of a Universal Approximator. NIPS (1996)
David Saad
General Gaussian Priors for Improved Generalization. Neural Networks 9 (6) (1996)
Jason A. S. Freeman, David Saad
Learning and generalization in radial basis function networks. Neural Comput. 7 (5) (1995)
Ansgar Heinrich Ludolf West, David Saad
Adaptive Back-Propagation in On-Line Learning of Multilayer Networks. NIPS (1995)
David Barber, David Saad
Knowledge and generalisation in simple learning systems. ESANN (1995)
David Saad, Sara A. Solla
Dynamics of On-Line Gradient Descent Learning for Multilayer Neural Networks. NIPS (1995)
David Barber, David Saad, Peter Sollich
Test Error Fluctuations in Finite Linear Perceptrons. Neural Comput. 7 (4) (1995)
Glenn Marion, David Saad
Hyperparameters Evidence and Generalisation for an Unrealisable Rule. NIPS (1994)
Peter Sollich, David Saad
Learning from queries for maximum information gain in imperfectly learnable problems. NIPS (1994)
Nachum Shamir, David Saad, Emanuel Marom
Using the Functional Behavior of Neurons for Genetic Recombination in Neural Nets Training. Complex Syst. 7 (6) (1993)
Nachum Shamir, David Saad, Emanuel Marom
Preserving the Diversity of a Genetically Evolving Population of Nets Using the Functional Behavior of Neurons. Complex Syst. 7 (5) (1993)
Nachum Shamir, David Saad, Emanuel Marom
Neural Net Pruning Based On Functional Behavior Of Neurons. Int. J. Neural Syst. 4 (2) (1993)
Shai Abramson, David Saad, Emanuel Marom
Training a network with ternary weights using the CHIR algorithm. IEEE Trans. Neural Networks 4 (6) (1993)
David Saad
Training Recurrent Neural Networks - The Minimal Trajectory Algorithm. Int. J. Neural Syst. 3 (1) (1992)
David Saad
Training Recurrent Neural Networks via Trajectory Modification. Complex Syst. 6 (3) (1992)
David Saad, R. Sasson
Examining the Chir Algorithm Performance for Multilayer Networks and Continuous Input Vectors. Int. J. Neural Syst. 3 (2) (1992)
Stan Franklin, Max H. Garzon, David E. Goldberg, Bradley Korb, Kalyanmoy Deb, Francesca Aicardi, Andrzej Lech Kawczynski, Wentian Li, Norman H. Packard, David Saad, Emanuel Marom
Complex Systems: Errata and Changes Volumes 3 and 4. Complex Syst. 5 (1) (1991)
David Saad, Emanuel Marom
Learning by Choice of Internal Representations: An Energy Minimization Approach. Complex Syst. 4 (1) (1990)
David Saad, Emanuel Marom
Training Feed Forward Nets with Binary Weights via a Modified CHIR Algorithm. Complex Syst. 4 (5) (1990)