David Saad

2008
31	EE	Jack Raymond, David Saad: Composite CDMA - A statistical mechanics analysis CoRR abs/0811.2403: (2008)
2007
30	EE	Jack Raymond, David Saad: Sparsely-spread CDMA - a statistical mechanics based analysis CoRR abs/0704.0098: (2007)
29	EE	K. Y. Michael Wong, David Saad: Minimizing Unsatisfaction in Colorful Neighborhoods CoRR abs/0704.3835: (2007)
2006
28	EE	K. Y. Michael Wong, C. H. Yeung, David Saad: Message-Passing for Inference and Optimization of Real Variables on Sparse Graphs. ICONIP (2) 2006: 754-763
2005
27	EE	Stéphane Bounkong, Borémi Toch, David Saad: Optimal Embedding for Watermarking in Discrete Data Spaces. Information Hiding 2005: 77-90
26	EE	K. Y. Michael Wong, David Saad, Zhuo Gao: Message passing for task redistribution on sparse graphs. NIPS 2005
25	EE	Juan P. Neirotti, David Saad: Improved message passing for inference in densely connected systems CoRR abs/cs/0503070: (2005)
2003
24	EE	Stéphane Bounkong, Borémi Toch, David Saad, David Lowe: ICA for Watermarking Digital Images. Journal of Machine Learning Research 4: 1471-1498 (2003)
2002
23	EE	Stéphane Bounkong, David Saad, David Lowe: Independent Component Analysis for Domain Independent Watermarking. ICANN 2002: 510-515
2001
22	EE	Jort van Mourik, David Saad, Yoshiyuki Kabashima: Weight vs. Magnetization Enumerator for Gallager Codes. IMA Int. Conf. 2001: 148-157
21	EE	David Saad, Yoshiyuki Kabashima, Tatsuto Murayama, Renato Vicente: Statistical Physics of Low Density Parity Check Error Correcting Codes. IMA Int. Conf. 2001: 307-316
2000
20		Renato Vicente, David Saad, Yoshiyuki Kabashima: Error-correcting Codes on a Bethe-like Lattice. NIPS 2000: 322-328
1999
19	EE	Yoshiyuki Kabashima, Tatsuto Murayama, David Saad, Renato Vicente: Regular and Irregular Gallager-zype Error-Correcting Codes. NIPS 1999: 272-278
1998
18	EE	Anthony C. C. Coolen, David Saad: Dynamics of Supervised Learning with Restricted Training Sets. NIPS 1998: 197-203
17	EE	Yoshiyuki Kabashima, David Saad: The Belief in TAP. NIPS 1998: 246-252
1997
16		Magnus Rattray, David Saad: Globally Optimal On-line Learning Rules. NIPS 1997
15		Todd K. Leen, Bernhard Schottky, David Saad: Two Approaches to Optimal Annealing. NIPS 1997
14	EE	Jason A. S. Freeman, David Saad: Online Learning in Radial Basis Function Networks. Neural Computation 9(7): 1601-1622 (1997)
13	EE	Barak Cohen, David Saad, Emanuel Marom: Efficient Training of Recurrent Neural Network with Time Delays. Neural Networks 10(1): 51-59 (1997)
1996
12	EE	David Saad, Sara A. Solla: Learning with Noise and Regularizers in Multilayer Neural Networks. NIPS 1996: 260-266
11	EE	Ansgar H. L. West, David Saad, Ian T. Nabney: The Learning Dynamcis of a Universal Approximator. NIPS 1996: 288-294
10	EE	David Saad: General Gaussian Priors for Improved Generalization. Neural Networks 9(6): 937-945 (1996)
9	EE	Jason A. S. Freeman, David Saad: Radial Basis Function Networks: Generalization in Over-realizable and Unrealizable Scenarios. Neural Networks 9(9): 1521-1529 (1996)
1995
8	EE	David Saad, Sara A. Solla: Dynamics of On-Line Gradient Descent Learning for Multilayer Neural Networks. NIPS 1995: 302-308
7	EE	Ansgar H. L. West, David Saad: Adaptive Back-Propagation in On-Line Learning of Multilayer Networks. NIPS 1995: 323-329
6	EE	Jason A. S. Freeman, David Saad: Learning and generalization in radial basis function networks. Neural Computation 7(5): 1000-1020 (1995)
1994
5	EE	Glenn Marion, David Saad: Hyperparameters Evidence and Generalisation for an Unrealisable Rule. NIPS 1994: 255-262
4	EE	Peter Sollich, David Saad: Learning from queries for maximum information gain in imperfectly learnable problems. NIPS 1994: 287-294
1993
3	EE	N. Shamir, David Saad, Emanuel Marom: Neural Net Pruning Based On Functional Behavior Of Neurons. Int. J. Neural Syst. 4(2): 143-158 (1993)
1992
2	EE	David Saad: Training Recurrent Neural Networks - The Minimal Trajectory Algorithm. Int. J. Neural Syst. 3(1): 83-101 (1992)
1	EE	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)

Coauthor Index

1	Stéphane Bounkong	[23] [24] [27]
2	Barak Cohen	[13]
3	Anthony C. C. Coolen	[18]
4	Jason A. S. Freeman	[6] [9] [14]
5	Zhuo Gao	[26]
6	Yoshiyuki Kabashima	[17] [19] [20] [21] [22]
7	Todd K. Leen	[15]
8	David Lowe (David B. Lowe)	[23] [24]
9	Glenn Marion	[5]
10	Emanuel Marom	[3] [13]
11	Jort van Mourik	[22]
12	Tatsuto Murayama	[19] [21]
13	Ian T. Nabney	[11]
14	Juan P. Neirotti	[25]
15	Magnus Rattray	[16]
16	Jack Raymond	[30] [31]
17	R. Sasson	[1]
18	Bernhard Schottky	[15]
19	N. Shamir	[3]
20	Sara A. Solla	[8] [12]
21	Peter Sollich	[4]
22	Borémi Toch	[24] [27]
23	Renato Vicente	[19] [20] [21]
24	Ansgar H. L. West	[7] [11]
25	K. Y. Michael Wong	[26] [28] [29]
26	C. H. Yeung	[28]

Colors in the list of coauthors