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2020 – today
- 2022
[c25]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: 1-3- 2021
- [i18]Yi-Zhi Xu, Ho Fai Po, Chi Ho Yeung, David Saad:
Scalable Node-Disjoint and Edge-Disjoint Multi-wavelength Routing. CoRR abs/2107.00609 (2021) - 2020
- [i17]Alexander Mozeika, Bo Li, David Saad:
The Space of Functions Computed By Deep Layered Machines. CoRR abs/2004.08930 (2020)
2010 – 2019
- 2019
- [i16]Bo Li, David Saad:
Large Deviation Analysis of Function Sensitivity in Random Deep Neural Networks. CoRR abs/1910.05769 (2019) - [i15]Andrey Y. Lokhov, David Saad:
Scalable Influence Estimation Without Sampling. CoRR abs/1912.12749 (2019) - 2018
- [i14]Mihai-Alin Badiu, David Saad, Justin P. Coon:
Self-Organization Scheme for Balanced Routing in Large-Scale Multi-Hop Networks. CoRR abs/1808.03643 (2018) - 2017
- [j22]Andrey Y. Lokhov
, David Saad:
Optimal deployment of resources for maximizing impact in spreading processes. Proc. Natl. Acad. Sci. USA 114(39): E8138-E8146 (2017) - [i13]Bo Li, David Saad:
Exploring the Function Space of Deep-Learning Machines. CoRR abs/1708.01422 (2017) - 2016
- [j21]K. Y. Michael Wong, David Saad, Chi Ho Yeung:
Distributed Optimization in Transportation and Logistics Networks. IEICE Trans. Commun. 99-B(11): 2237-2246 (2016) - [i12]Andrey Y. Lokhov, David Saad:
Optimal Deployment of Resources for Maximizing Impact in Spreading Processes. CoRR abs/1608.08278 (2016) - 2015
- [j20]Alexander Mozeika, David Saad:
On Reliable Computation by Noisy Random Boolean Formulas. IEEE Trans. Inf. Theory 61(1): 637-644 (2015) - 2014
- [j19]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): 144-151 (2014) - [i11]Caterina De Bacco, Silvio Franz, David Saad, Chi Ho Yeung:
Shortest node-disjoint paths on random graphs. CoRR abs/1401.8096 (2014) - 2013
- [c24]Hamed Mahmoudi, Georgios Rodolakis, Leonidas Georgiadis, David Saad:
Message-passing algorithms for optimal utilization of cognitive radio networks. ICC Workshops 2013: 1393-1397 - [i10]Chi Ho Yeung, David Saad, K. Y. Michael Wong:
From the Physics of Interacting Polymers to Optimizing Routes on the London Underground. CoRR abs/1309.0745 (2013) - [i9]Hamed Mahmoudi, Georgios Rodolakis, Leonidas Georgiadis, David Saad:
Message-Passing Algorithms for Optimal Utilization of Cognitive Radio Networks. CoRR abs/1310.5468 (2013) - 2012
- [i8]Chi Ho Yeung, David Saad:
The Competition for Shortest Paths on Sparse Graphs. CoRR abs/1202.0213 (2012) - 2011
- [i7]Chi Ho Yeung, David Saad:
Networks and Networking - A Statistical Physics Perspective. CoRR abs/1110.2931 (2011) - 2010
- [i6]Joerg Reichardt, Roberto Alamino, David Saad:
The interplay of microscopic and mesoscopic structure in complex networks. CoRR abs/1012.4524 (2010)
2000 – 2009
- 2009
- [i5]Alexander Mozeika, David Saad, Jack Raymond:
Computing with Noise - Phase Transitions in Boolean Formulas. CoRR abs/0908.3981 (2009) - 2008
- [c23]K. Y. Michael Wong, David Saad, Chi Ho Yeung:
Network optimisation - A statistical physics perspective. WiOpt 2008: 577-582 - [c22]Roberto Alamino, David Saad:
Typical performance of generalised vector channels. WiOpt 2008: 598-602 - [c21]Jack Raymond, David Saad:
Randomness and metastability in CDMA paradigms. WiOpt 2008: 626-630 - [i4]Jack Raymond, David Saad:
Composite CDMA - A statistical mechanics analysis. CoRR abs/0811.2403 (2008) - 2007
- [i3]Jack Raymond, David Saad:
Sparsely-spread CDMA - a statistical mechanics based analysis. CoRR abs/0704.0098 (2007) - [i2]K. Y. Michael Wong, David Saad:
Minimizing Unsatisfaction in Colorful Neighborhoods. CoRR abs/0704.3835 (2007) - 2006
- [c20]K. Y. Michael Wong, Chi Ho Yeung, David Saad:
Message-Passing for Inference and Optimization of Real Variables on Sparse Graphs. ICONIP (2) 2006: 754-763 - 2005
- [c19]Stéphane Bounkong, Borémi Toch, David Saad:
Optimal Embedding for Watermarking in Discrete Data Spaces. Information Hiding 2005: 77-90 - [c18]K. Y. Michael Wong, David Saad, Zhuo Gao:
Message passing for task redistribution on sparse graphs. NIPS 2005: 1529-1536 - [i1]Juan P. Neirotti, David Saad:
Improved message passing for inference in densely connected systems. CoRR abs/cs/0503070 (2005) - 2003
- [j18]Stéphane Bounkong, Borémi Toch, David Saad, David Lowe:
ICA for Watermarking Digital Images. J. Mach. Learn. Res. 4: 1471-1498 (2003) - [c17]Borémi Toch, David Lowe, David Saad:
Watermarking of audio signals using independent component analysis. WEDELMUSIC 2003: 71-74 - 2002
- [c16]Stéphane Bounkong, David Saad, David Lowe:
Independent Component Analysis for Domain Independent Watermarking. ICANN 2002: 510-515 - 2001
- [c15]Jort van Mourik, David Saad, Yoshiyuki Kabashima:
Weight vs. Magnetization Enumerator for Gallager Codes. IMACC 2001: 148-157 - [c14]David Saad, Yoshiyuki Kabashima, Tatsuto Murayama, Renato Vicente:
Statistical Physics of Low Density Parity Check Error Correcting Codes. IMACC 2001: 307-316 - 2000
- [c13]Renato Vicente, David Saad, Yoshiyuki Kabashima:
Error-correcting Codes on a Bethe-like Lattice. NIPS 2000: 322-328
1990 – 1999
- 1999
- [c12]Yoshiyuki Kabashima, Tatsuto Murayama, David Saad, Renato Vicente:
Regular and Irregular Gallager-zype Error-Correcting Codes. NIPS 1999: 272-278 - 1998
- [c11]Anthony C. C. Coolen, David Saad:
Dynamics of Supervised Learning with Restricted Training Sets. NIPS 1998: 197-203 - [c10]Yoshiyuki Kabashima, David Saad:
The Belief in TAP. NIPS 1998: 246-252 - [p1]Jason A. S. Freeman, Mark J. L. Orr, David Saad:
Statistical theories of learning in radial basis function networks. Algorithms and Architectures 1998: 1-59 - 1997
- [j17]Jason A. S. Freeman, David Saad:
Online Learning in Radial Basis Function Networks. Neural Comput. 9(7): 1601-1622 (1997) - [j16]Barak Cohen, David Saad, Emanuel Marom:
Efficient Training of Recurrent Neural Network with Time Delays. Neural Networks 10(1): 51-59 (1997) - [c9]Todd K. Leen, Bernhard Schottky, David Saad:
Two Approaches to Optimal Annealing. NIPS 1997: 301-307 - [c8]Magnus Rattray, David Saad:
Globally Optimal On-line Learning Rules. NIPS 1997: 322-328 - 1996
- [j15]David Barber, David Saad:
Does Extra Knowledge Necessarily Improve Generalization? Neural Comput. 8(1): 202-214 (1996) - [j14]David Saad:
General Gaussian Priors for Improved Generalization. Neural Networks 9(6): 937-945 (1996) - [j13]Jason A. S. Freeman, David Saad:
Radial Basis Function Networks: Generalization in Over-realizable and Unrealizable Scenarios. Neural Networks 9(9): 1521-1529 (1996) - [c7]David Saad, Sara A. Solla:
Learning with Noise and Regularizers in Multilayer Neural Networks. NIPS 1996: 260-266 - [c6]Ansgar Heinrich Ludolf West, David Saad, Ian T. Nabney:
The Learning Dynamcis of a Universal Approximator. NIPS 1996: 288-294 - 1995
- [j12]David Barber, David Saad, Peter Sollich:
Test Error Fluctuations in Finite Linear Perceptrons. Neural Comput. 7(4): 809-821 (1995) - [j11]Jason A. S. Freeman, David Saad:
Learning and generalization in radial basis function networks. Neural Comput. 7(5): 1000-1020 (1995) - [c5]David Barber, David Saad:
Knowledge and generalisation in simple learning systems. ESANN 1995 - [c4]David Saad, Sara A. Solla:
Dynamics of On-Line Gradient Descent Learning for Multilayer Neural Networks. NIPS 1995: 302-308 - [c3]Ansgar Heinrich Ludolf West, David Saad:
Adaptive Back-Propagation in On-Line Learning of Multilayer Networks. NIPS 1995: 323-329 - 1994
- [c2]Glenn Marion, David Saad:
Hyperparameters Evidence and Generalisation for an Unrealisable Rule. NIPS 1994: 255-262 - [c1]Peter Sollich, David Saad:
Learning from queries for maximum information gain in imperfectly learnable problems. NIPS 1994: 287-294 - 1993
- [j10]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) - [j9]Nachum Shamir, David Saad, Emanuel Marom:
Using the Functional Behavior of Neurons for Genetic Recombination in Neural Nets Training. Complex Syst. 7(6) (1993) - [j8]Nachum Shamir, David Saad, Emanuel Marom:
Neural Net Pruning Based On Functional Behavior Of Neurons. Int. J. Neural Syst. 4(2): 143-158 (1993) - [j7]Shai Abramson, David Saad, Emanuel Marom:
Training a network with ternary weights using the CHIR algorithm. IEEE Trans. Neural Networks 4(6): 997-1000 (1993) - 1992
- [b1]David Saad:
Improving training methods in neural networks via modification of the internal representations. Tel Aviv University, Israel, 1992 - [j6]David Saad:
Training Recurrent Neural Networks via Trajectory Modification. Complex Syst. 6(3) (1992) - [j5]David Saad:
Training Recurrent Neural Networks - The Minimal Trajectory Algorithm. Int. J. Neural Syst. 3(1): 83-101 (1992) - [j4]David Saad, R. Sasson:
Examining the Chir Algorithm Performance for Multilayer Networks and Continuous Input Vectors. Int. J. Neural Syst. 3(2): 157-165 (1992) - 1991
- [j3]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) - 1990
- [j2]David Saad, Emanuel Marom:
Learning by Choice of Internal Representations: An Energy Minimization Approach. Complex Syst. 4(1) (1990) - [j1]David Saad, Emanuel Marom:
Training Feed Forward Nets with Binary Weights via a Modified CHIR Algorithm. Complex Syst. 4(5) (1990)
Coauthor Index
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