Learning by Choice of Internal Representations: An Energy Minimization Approach. - David Saad; Emanuel Marom (Complex Syst., 1990)

Training Feed Forward Nets with Binary Weights via a Modified CHIR Algorithm. - David Saad; Emanuel Marom (Complex Syst., 1990)

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

Training Recurrent Neural Networks via Trajectory Modification. - David Saad (Complex Syst., 1992)

Training Recurrent Neural Networks - The Minimal Trajectory Algorithm. - David Saad (Int. J. Neural Syst., 1992)

Examining the Chir Algorithm Performance for Multilayer Networks and Continuous Input Vectors. - David Saad; R. Sasson (Int. J. Neural Syst., 1992)

Improving training methods in neural networks via modification of the internal representations - David Saad (1992)

Preserving the Diversity of a Genetically Evolving Population of Nets Using the Functional Behavior of Neurons. - Nachum Shamir; David Saad; Emanuel Marom (Complex Syst., 1993)

Using the Functional Behavior of Neurons for Genetic Recombination in Neural Nets Training. - Nachum Shamir; David Saad; Emanuel Marom (Complex Syst., 1993)

Neural Net Pruning Based On Functional Behavior Of Neurons. - Nachum Shamir; David Saad; Emanuel Marom (Int. J. Neural Syst., 1993)

Training a network with ternary weights using the CHIR algorithm. - Shai Abramson; David Saad; Emanuel Marom (IEEE Trans. Neural Networks, 1993)

Hyperparameters Evidence and Generalisation for an Unrealisable Rule. - Glenn Marion; David Saad (NIPS, 1994)

Learning from queries for maximum information gain in imperfectly learnable problems. - Peter Sollich; David Saad (NIPS, 1994)

Knowledge and generalisation in simple learning systems. - David Barber; David Saad (ESANN, 1995)

Dynamics of On-Line Gradient Descent Learning for Multilayer Neural Networks. - David Saad; Sara A. Solla (NIPS, 1995)

Adaptive Back-Propagation in On-Line Learning of Multilayer Networks. - Ansgar Heinrich Ludolf West; David Saad (NIPS, 1995)

Test Error Fluctuations in Finite Linear Perceptrons. - David Barber; David Saad; Peter Sollich (Neural Comput., 1995)

Learning and generalization in radial basis function networks. - Jason A. S. Freeman; David Saad (Neural Comput., 1995)

Learning with Noise and Regularizers in Multilayer Neural Networks. - David Saad; Sara A. Solla (NIPS, 1996)

The Learning Dynamcis of a Universal Approximator. - Ansgar Heinrich Ludolf West; David Saad; Ian T. Nabney (NIPS, 1996)

Does Extra Knowledge Necessarily Improve Generalization? - David Barber; David Saad (Neural Comput., 1996)

Radial Basis Function Networks: Generalization in Over-realizable and Unrealizable Scenarios. - Jason A. S. Freeman; David Saad (Neural Networks, 1996)

General Gaussian Priors for Improved Generalization. - David Saad (Neural Networks, 1996)

Two Approaches to Optimal Annealing. - Todd K. Leen; Bernhard Schottky; David Saad (NIPS, 1997)

Globally Optimal On-line Learning Rules. - Magnus Rattray; David Saad (NIPS, 1997)

Online Learning in Radial Basis Function Networks. - Jason A. S. Freeman; David Saad (Neural Comput., 1997)

Efficient Training of Recurrent Neural Network with Time Delays. - Barak Cohen; David Saad; Emanuel Marom (Neural Networks, 1997)

Statistical theories of learning in radial basis function networks. - Jason A. S. Freeman; Mark J. L. Orr; David Saad (Algorithms and Architectures, 1998)

Dynamics of Supervised Learning with Restricted Training Sets. - Anthony C. C. Coolen; David Saad (NIPS, 1998)

The Belief in TAP. - Yoshiyuki Kabashima; David Saad (NIPS, 1998)

Regular and Irregular Gallager-zype Error-Correcting Codes. - Yoshiyuki Kabashima; Tatsuto Murayama; David Saad; Renato Vicente (NIPS, 1999)

Error-correcting Codes on a Bethe-like Lattice. - Renato Vicente; David Saad; Yoshiyuki Kabashima (NIPS, 2000)

Weight vs. Magnetization Enumerator for Gallager Codes. - Jort van Mourik; David Saad; Yoshiyuki Kabashima (IMACC, 2001)

Statistical Physics of Low Density Parity Check Error Correcting Codes. - David Saad; Yoshiyuki Kabashima; Tatsuto Murayama; Renato Vicente (IMACC, 2001)

Independent Component Analysis for Domain Independent Watermarking. - Stéphane Bounkong; David Saad; David Lowe (ICANN, 2002)

Watermarking of audio signals using independent component analysis. - Borémi Toch; David Lowe; David Saad (WEDELMUSIC, 2003)

ICA for Watermarking Digital Images. - Stéphane Bounkong; Borémi Toch; David Saad; David Lowe (J. Mach. Learn. Res., 2003)

Optimal Embedding for Watermarking in Discrete Data Spaces. - Stéphane Bounkong; Borémi Toch; David Saad (Information Hiding, 2005)

Message passing for task redistribution on sparse graphs. - K. Y. Michael Wong; David Saad; Zhuo Gao (NIPS, 2005)

Improved message passing for inference in densely connected systems - Juan P. Neirotti; David Saad (CoRR, 2005)

Message-Passing for Inference and Optimization of Real Variables on Sparse Graphs. - K. Y. Michael Wong; Chi Ho Yeung; David Saad (ICONIP (2), 2006)

Sparsely-spread CDMA - a statistical mechanics based analysis - Jack Raymond; David Saad (CoRR, 2007)

Minimizing Unsatisfaction in Colorful Neighborhoods - K. Y. Michael Wong; David Saad (CoRR, 2007)

Typical performance of generalised vector channels. - Roberto Alamino; David Saad (WiOpt, 2008)

Randomness and metastability in CDMA paradigms. - Jack Raymond; David Saad (WiOpt, 2008)

Network optimisation - A statistical physics perspective. - K. Y. Michael Wong; David Saad; Chi Ho Yeung (WiOpt, 2008)

Composite CDMA - A statistical mechanics analysis - Jack Raymond; David Saad (CoRR, 2008)

Computing with Noise - Phase Transitions in Boolean Formulas - Alexander Mozeika; David Saad; Jack Raymond (CoRR, 2009)

The interplay of microscopic and mesoscopic structure in complex networks - Joerg Reichardt; Roberto Alamino; David Saad (CoRR, 2010)

Networks and Networking - A Statistical Physics Perspective - Chi Ho Yeung; David Saad (CoRR, 2011)

The Competition for Shortest Paths on Sparse Graphs - Chi Ho Yeung; David Saad (CoRR, 2012)

Message-passing algorithms for optimal utilization of cognitive radio networks. - Hamed Mahmoudi; Georgios Rodolakis; Leonidas Georgiadis; David Saad (ICC Workshops, 2013)

From the Physics of Interacting Polymers to Optimizing Routes on the London Underground. - Chi Ho Yeung; David Saad; K. Y. Michael Wong (CoRR, 2013)

Physics-inspired methods for networking and communications. - David Saad; Chi Ho Yeung; Georgios Rodolakis; Dimitris Syrivelis; Iordanis Koutsopoulos; Leandros Tassiulas; Rüdiger L. Urbanke; Paolo Giaccone; Emilio Leonardi (IEEE Commun. Mag., 2014)

Shortest node-disjoint paths on random graphs. - Caterina De Bacco; Silvio Franz; David Saad; Chi Ho Yeung (CoRR, 2014)

On Reliable Computation by Noisy Random Boolean Formulas. - Alexander Mozeika; David Saad (IEEE Trans. Inf. Theory, 2015)

Distributed Optimization in Transportation and Logistics Networks. - K. Y. Michael Wong; David Saad; Chi Ho Yeung (IEICE Trans. Commun., 2016)

Exploring the Function Space of Deep-Learning Machines. - Bo Li; David Saad (CoRR, 2017)

Optimal deployment of resources for maximizing impact in spreading processes. - Andrey Y. Lokhov; David Saad (Proc. Natl. Acad. Sci. USA, 2017)

Self-Organization Scheme for Balanced Routing in Large-Scale Multi-Hop Networks. - Mihai-Alin Badiu; David Saad; Justin P. Coon (CoRR, 2018)

Large Deviation Analysis of Function Sensitivity in Random Deep Neural Networks. - Bo Li; David Saad (CoRR, 2019)

Scalable Influence Estimation Without Sampling. - Andrey Y. Lokhov; David Saad (CoRR, 2019)

The Space of Functions Computed By Deep Layered Machines. - Alexander Mozeika; Bo Li; David Saad (CoRR, 2020)

Scalable Node-Disjoint and Edge-Disjoint Multi-wavelength Routing. - Yi-Zhi Xu; Ho Fai Po; Chi Ho Yeung; David Saad (CoRR, 2021)

Message Passing: Towards Low-Complexity, Global Optimal Routing and Wavelength Assignment Solutions for Optical Networks. - Ruijie Luo; Yi-Zhi Xu; Robin Matzner; Georgios Zervas; David Saad; Polina Bayvel (OFC, 2022)

Traffic-aware and physically constrained optical network growth techniques. - Rasoul Sadeghi; Robin Matzner; Yi-Zhi Xu; Alejandra Beghelli; David Saad; Polina Bayvel (J. Opt. Commun. Netw., 2025)

Preprocessing Methods for Memristive Reservoir Computing for Image Recognition. - Rishona Daniels; Duna Wattad; Ronny Ronen; David Saad; Shahar Kvatinsky (CoRR, 2025)