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David Saad
标题
引用次数
引用次数
年份
On-line learning in neural networks
D Saad
Cambridge University Press, 2009
6242009
Advanced mean field methods: Theory and practice
M Opper, D Saad
MIT press, 2001
5972001
On-line learning in soft committee machines
D Saad, SA Solla
Physical Review E 52 (4), 4225, 1995
2901995
Exact solution for on-line learning in multilayer neural networks
D Saad, SA Solla
Physical Review Letters 74 (21), 4337, 1995
2101995
Belief propagation vs. TAP for decoding corrupted messages
Y Kabashima, D Saad
Europhysics Letters 44 (5), 668, 1998
1721998
Online algorithms and stochastic approximations
D Saad
Online Learning 5 (3), 6, 1998
1371998
Statistical mechanics of error-correcting codes
Y Kabashima, D Saad
Europhysics Letters 45 (1), 97, 1999
1361999
Communication networks beyond the capacity crunch
AD Ellis, NM Suibhne, D Saad, DN Payne
Philosophical Transactions of the Royal Society A: Mathematical, Physical …, 2016
1222016
Natural gradient descent for on-line learning
M Rattray, D Saad, S Amari
Physical review letters 81 (24), 5461, 1998
1141998
ICA for watermarking digital images
S Bounkong, B Toch, D Saad, D Lowe
Journal of Machine Learning Research 4 (7-8), 1471-1498, 2003
1122003
Statistical physics of regular low-density parity-check error-correcting codes
T Murayama, Y Kabashima, D Saad, R Vicente
Physical Review E 62 (2), 1577, 2000
992000
Off-shell electromagnetism in manifestly covariant relativistic quantum mechanics
D Saad, LP Horwitz, RI Arshansky
Foundations of Physics 19, 1125-1149, 1989
991989
Statistical mechanics of low-density parity-check codes
Y Kabashima, D Saad
Journal of Physics A: Mathematical and General 37 (6), R1, 2004
982004
Typical performance of Gallager-type error-correcting codes
Y Kabashima, T Murayama, D Saad
Physical Review Letters 84 (6), 1355, 2000
812000
Optimal deployment of resources for maximizing impact in spreading processes
AY Lokhov, D Saad
Proceedings of the National Academy of Sciences 114 (39), E8138-E8146, 2017
712017
Error-correcting codes that nearly saturate Shannon's bound
I Kanter, D Saad
Physical Review Letters 83 (13), 2660, 1999
671999
Online learning in radial basis function networks
JAS Freeman, D Saad
Neural Computation 9 (7), 1601-1622, 1997
671997
From the physics of interacting polymers to optimizing routes on the London Underground
CH Yeung, D Saad, KYM Wong
Proceedings of the National Academy of Sciences 110 (34), 13717-13722, 2013
612013
Globally optimal parameters for on-line learning in multilayer neural networks
D Saad, M Rattray
Physical review letters 79 (13), 2578, 1997
581997
Learning and generalization in radial basis function networks
JAS Freeman, D Saad
Neural Computation 7 (5), 1000-1020, 1995
561995
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