David Saad

	2009
32		Alexander Mozeika, David Saad, Jack Raymond: Computing with Noise - Phase Transitions in Boolean Formulas CoRR abs/0908.3981: (2009)
	2008
31		Jack Raymond, David Saad: Composite CDMA - A statistical mechanics analysis CoRR abs/0811.2403: (2008)
	2007
30		Jack Raymond, David Saad: Sparsely-spread CDMA - a statistical mechanics based analysis CoRR abs/0704.0098: (2007)
29		K. Y. Michael Wong, David Saad: Minimizing Unsatisfaction in Colorful Neighborhoods CoRR abs/0704.3835: (2007)
	2006
28		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
27		Stéphane Bounkong, Borémi Toch, David Saad: Optimal Embedding for Watermarking in Discrete Data Spaces. Information Hiding 2005: 77-90
26		K. Y. Michael Wong, David Saad, Zhuo Gao: Message passing for task redistribution on sparse graphs. NIPS 2005
25		Juan P. Neirotti, David Saad: Improved message passing for inference in densely connected systems CoRR abs/cs/0503070: (2005)
	2003
24		Stéphane Bounkong, Borémi Toch, David Saad, David Lowe: ICA for Watermarking Digital Images. Journal of Machine Learning Research 4: 1471-1498 (2003)
	2002
23		Stéphane Bounkong, David Saad, David Lowe: Independent Component Analysis for Domain Independent Watermarking. ICANN 2002: 510-515
	2001
22		Jort van Mourik, David Saad, Yoshiyuki Kabashima: Weight vs. Magnetization Enumerator for Gallager Codes. IMA Int. Conf. 2001: 148-157
21		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		Yoshiyuki Kabashima, Tatsuto Murayama, David Saad, Renato Vicente: Regular and Irregular Gallager-zype Error-Correcting Codes. NIPS 1999: 272-278
	1998
18		Anthony C. C. Coolen, David Saad: Dynamics of Supervised Learning with Restricted Training Sets. NIPS 1998: 197-203
17		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		Jason A. S. Freeman, David Saad: Online Learning in Radial Basis Function Networks. Neural Computation 9(7): 1601-1622 (1997)
13		Barak Cohen, David Saad, Emanuel Marom: Efficient Training of Recurrent Neural Network with Time Delays. Neural Networks 10(1): 51-59 (1997)
	1996
12		David Saad, Sara A. Solla: Learning with Noise and Regularizers in Multilayer Neural Networks. NIPS 1996: 260-266
11		Ansgar H. L. West, David Saad, Ian T. Nabney: The Learning Dynamcis of a Universal Approximator. NIPS 1996: 288-294
10		David Saad: General Gaussian Priors for Improved Generalization. Neural Networks 9(6): 937-945 (1996)
9		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		David Saad, Sara A. Solla: Dynamics of On-Line Gradient Descent Learning for Multilayer Neural Networks. NIPS 1995: 302-308
7		Ansgar H. L. West, David Saad: Adaptive Back-Propagation in On-Line Learning of Multilayer Networks. NIPS 1995: 323-329
6		Jason A. S. Freeman, David Saad: Learning and generalization in radial basis function networks. Neural Computation 7(5): 1000-1020 (1995)
	1994
5		Glenn Marion, David Saad: Hyperparameters Evidence and Generalisation for an Unrealisable Rule. NIPS 1994: 255-262
4		Peter Sollich, David Saad: Learning from queries for maximum information gain in imperfectly learnable problems. NIPS 1994: 287-294
	1993
3		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		David Saad: Training Recurrent Neural Networks - The Minimal Trajectory Algorithm. Int. J. Neural Syst. 3(1): 83-101 (1992)
1		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	Alexander Mozeika	[32]
13	Tatsuto Murayama	[19] [21]
14	Ian T. Nabney	[11]
15	Juan P. Neirotti	[25]
16	Magnus Rattray	[16]
17	Jack Raymond	[30] [31] [32]
18	R. Sasson	[1]
19	Bernhard Schottky	[15]
20	N. Shamir	[3]
21	Sara A. Solla	[8] [12]
22	Peter Sollich	[4]
23	Borémi Toch	[24] [27]
24	Renato Vicente	[19] [20] [21]
25	Ansgar H. L. West	[7] [11]
26	K. Y. Michael Wong	[26] [28] [29]
27	Chi Ho Yeung	[28]

Colors in the list of coauthors