David Saad - RankMe

70 papers B 4C 3Journal 42Unranked 19

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Preprocessing Methods for Memristive Reservoir Computing for Image Recognition. MetroXRAINE Rishona Daniels, Duna Wattad, Ronny Ronen, David Saad, Shahar Kvatinsky
2025	J	`jnl`	Preprocessing Methods for Memristive Reservoir Computing for Image Recognition. CoRR Rishona Daniels, Duna Wattad, Ronny Ronen, David Saad, Shahar Kvatinsky
2025	J	`jnl`	Traffic-aware and physically constrained optical network growth techniques. J. Opt. Commun. Netw. Rasoul Sadeghi, Robin Matzner, Yi-Zhi Xu, Alejandra Beghelli, David Saad, Polina Bayvel
2022	—	`conf`	Message Passing: Towards Low-Complexity, Global Optimal Routing and Wavelength Assignment Solutions for Optical Networks. OFC Ruijie Luo, Yi-Zhi Xu, Robin Matzner, Georgios Zervas, David Saad, Polina Bayvel
2021	J	`jnl`	Scalable Node-Disjoint and Edge-Disjoint Multi-wavelength Routing. CoRR Yi-Zhi Xu, Ho Fai Po, Chi Ho Yeung, David Saad
2020	J	`jnl`	The Space of Functions Computed By Deep Layered Machines. CoRR Alexander Mozeika, Bo Li, David Saad
2019	J	`jnl`	Large Deviation Analysis of Function Sensitivity in Random Deep Neural Networks. CoRR Bo Li, David Saad
2019	J	`jnl`	Scalable Influence Estimation Without Sampling. CoRR Andrey Y. Lokhov, David Saad
2018	J	`jnl`	Self-Organization Scheme for Balanced Routing in Large-Scale Multi-Hop Networks. CoRR Mihai-Alin Badiu, David Saad, Justin P. Coon
2017	J	`jnl`	Exploring the Function Space of Deep-Learning Machines. CoRR Bo Li, David Saad
2017	J	`jnl`	Optimal deployment of resources for maximizing impact in spreading processes. Proc. Natl. Acad. Sci. USA Andrey Y. Lokhov, David Saad
2016	J	`jnl`	Distributed Optimization in Transportation and Logistics Networks. IEICE Trans. Commun. K. Y. Michael Wong, David Saad, Chi Ho Yeung
2016	J	`jnl`	Optimal Deployment of Resources for Maximizing Impact in Spreading Processes. CoRR Andrey Y. Lokhov, David Saad
2015	J	`jnl`	On Reliable Computation by Noisy Random Boolean Formulas. IEEE Trans. Inf. Theory Alexander Mozeika, David Saad
2014	J	`jnl`	Physics-inspired methods for networking and communications. IEEE Commun. Mag. David Saad, Chi Ho Yeung, Georgios Rodolakis, Dimitris Syrivelis, Iordanis Koutsopoulos, Leandros Tassiulas, Rüdiger L. Urbanke, Paolo Giaccone, Emilio Leonardi
2014	J	`jnl`	Shortest node-disjoint paths on random graphs. CoRR Caterina De Bacco, Silvio Franz, David Saad, Chi Ho Yeung
2013	J	`jnl`	From the Physics of Interacting Polymers to Optimizing Routes on the London Underground. CoRR Chi Ho Yeung, David Saad, K. Y. Michael Wong
2013	J	`jnl`	Message-Passing Algorithms for Optimal Utilization of Cognitive Radio Networks. CoRR Hamed Mahmoudi, Georgios Rodolakis, Leonidas Georgiadis, David Saad
2013	—	`conf`	Message-passing algorithms for optimal utilization of cognitive radio networks. ICC Workshops Hamed Mahmoudi, Georgios Rodolakis, Leonidas Georgiadis, David Saad
2012	J	`jnl`	The Competition for Shortest Paths on Sparse Graphs CoRR Chi Ho Yeung, David Saad
2011	J	`jnl`	Networks and Networking - A Statistical Physics Perspective CoRR Chi Ho Yeung, David Saad
2010	J	`jnl`	The interplay of microscopic and mesoscopic structure in complex networks CoRR Joerg Reichardt, Roberto Alamino, David Saad
2009	J	`jnl`	Computing with Noise - Phase Transitions in Boolean Formulas CoRR Alexander Mozeika, David Saad, Jack Raymond
2008	J	`jnl`	Composite CDMA - A statistical mechanics analysis CoRR Jack Raymond, David Saad
2008	B	`conf`	Network optimisation - A statistical physics perspective. WiOpt K. Y. Michael Wong, David Saad, Chi Ho Yeung
2008	B	`conf`	Randomness and metastability in CDMA paradigms. WiOpt Jack Raymond, David Saad
2008	B	`conf`	Typical performance of generalised vector channels. WiOpt Roberto Alamino, David Saad
2007	J	`jnl`	Minimizing Unsatisfaction in Colorful Neighborhoods CoRR K. Y. Michael Wong, David Saad
2007	J	`jnl`	Sparsely-spread CDMA - a statistical mechanics based analysis CoRR Jack Raymond, David Saad
2006	—	`conf`	Message-Passing for Inference and Optimization of Real Variables on Sparse Graphs. ICONIP (2) K. Y. Michael Wong, Chi Ho Yeung, David Saad
2005	J	`jnl`	Improved message passing for inference in densely connected systems CoRR Juan P. Neirotti, David Saad
2005	—	`conf`	Message passing for task redistribution on sparse graphs. NIPS K. Y. Michael Wong, David Saad, Zhuo Gao
2005	—	`conf`	Optimal Embedding for Watermarking in Discrete Data Spaces. Information Hiding Stéphane Bounkong, Borémi Toch, David Saad
2003	J	`jnl`	ICA for Watermarking Digital Images. J. Mach. Learn. Res. Stéphane Bounkong, Borémi Toch, David Saad, David Lowe
2003	—	`conf`	Watermarking of audio signals using independent component analysis. WEDELMUSIC Borémi Toch, David Lowe, David Saad
2002	C	`conf`	Independent Component Analysis for Domain Independent Watermarking. ICANN Stéphane Bounkong, David Saad, David Lowe
2001	C	`conf`	Statistical Physics of Low Density Parity Check Error Correcting Codes. IMACC David Saad, Yoshiyuki Kabashima, Tatsuto Murayama, Renato Vicente
2001	C	`conf`	Weight vs. Magnetization Enumerator for Gallager Codes. IMACC Jort van Mourik, David Saad, Yoshiyuki Kabashima
2000	—	`conf`	Error-correcting Codes on a Bethe-like Lattice. NIPS Renato Vicente, David Saad, Yoshiyuki Kabashima
1999	—	`conf`	Regular and Irregular Gallager-zype Error-Correcting Codes. NIPS Yoshiyuki Kabashima, Tatsuto Murayama, David Saad, Renato Vicente
1998	—	`conf`	Dynamics of Supervised Learning with Restricted Training Sets. NIPS Anthony C. C. Coolen, David Saad
1998	—	`ch.`	Statistical theories of learning in radial basis function networks. Algorithms and Architectures Jason A. S. Freeman, Mark J. L. Orr, David Saad
1998	—	`conf`	The Belief in TAP. NIPS Yoshiyuki Kabashima, David Saad
1997	J	`jnl`	Efficient Training of Recurrent Neural Network with Time Delays. Neural Networks Barak Cohen, David Saad, Emanuel Marom
1997	—	`conf`	Globally Optimal On-line Learning Rules. NIPS Magnus Rattray, David Saad
1997	J	`jnl`	Online Learning in Radial Basis Function Networks. Neural Comput. Jason A. S. Freeman, David Saad
1997	—	`conf`	Two Approaches to Optimal Annealing. NIPS Todd K. Leen, Bernhard Schottky, David Saad
1996	J	`jnl`	Does Extra Knowledge Necessarily Improve Generalization? Neural Comput. David Barber, David Saad
1996	J	`jnl`	General Gaussian Priors for Improved Generalization. Neural Networks David Saad
1996	—	`conf`	Learning with Noise and Regularizers in Multilayer Neural Networks. NIPS David Saad, Sara A. Solla
1996	J	`jnl`	Radial Basis Function Networks: Generalization in Over-realizable and Unrealizable Scenarios. Neural Networks Jason A. S. Freeman, David Saad
1996	—	`conf`	The Learning Dynamcis of a Universal Approximator. NIPS Ansgar Heinrich Ludolf West, David Saad, Ian T. Nabney
1995	—	`conf`	Adaptive Back-Propagation in On-Line Learning of Multilayer Networks. NIPS Ansgar Heinrich Ludolf West, David Saad
1995	—	`conf`	Dynamics of On-Line Gradient Descent Learning for Multilayer Neural Networks. NIPS David Saad, Sara A. Solla
1995	B	`conf`	Knowledge and generalisation in simple learning systems. ESANN David Barber, David Saad
1995	J	`jnl`	Learning and generalization in radial basis function networks. Neural Comput. Jason A. S. Freeman, David Saad
1995	J	`jnl`	Test Error Fluctuations in Finite Linear Perceptrons. Neural Comput. David Barber, David Saad, Peter Sollich
1994	—	`conf`	Hyperparameters Evidence and Generalisation for an Unrealisable Rule. NIPS Glenn Marion, David Saad
1994	—	`conf`	Learning from queries for maximum information gain in imperfectly learnable problems. NIPS Peter Sollich, David Saad
1993	J	`jnl`	Neural Net Pruning Based On Functional Behavior Of Neurons. Int. J. Neural Syst. Nachum Shamir, David Saad, Emanuel Marom
1993	J	`jnl`	Preserving the Diversity of a Genetically Evolving Population of Nets Using the Functional Behavior of Neurons. Complex Syst. Nachum Shamir, David Saad, Emanuel Marom
1993	J	`jnl`	Training a network with ternary weights using the CHIR algorithm. IEEE Trans. Neural Networks Shai Abramson, David Saad, Emanuel Marom
1993	J	`jnl`	Using the Functional Behavior of Neurons for Genetic Recombination in Neural Nets Training. Complex Syst. Nachum Shamir, David Saad, Emanuel Marom
1992	J	`jnl`	Examining the Chir Algorithm Performance for Multilayer Networks and Continuous Input Vectors. Int. J. Neural Syst. David Saad, R. Sasson
1992	—	`—`	Improving training methods in neural networks via modification of the internal representations David Saad
1992	J	`jnl`	Training Recurrent Neural Networks - The Minimal Trajectory Algorithm. Int. J. Neural Syst. David Saad
1992	J	`jnl`	Training Recurrent Neural Networks via Trajectory Modification. Complex Syst. David Saad
1991	J	`jnl`	Complex Systems: Errata and Changes Volumes 3 and 4. Complex Syst. 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
1990	J	`jnl`	Learning by Choice of Internal Representations: An Energy Minimization Approach. Complex Syst. David Saad, Emanuel Marom
1990	J	`jnl`	Training Feed Forward Nets with Binary Weights via a Modified CHIR Algorithm. Complex Syst. David Saad, Emanuel Marom