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David Saad: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Stéphane Bounkong, David Saad, David Lowe
    Independent Component Analysis for Domain Independent Watermarking. [Citation Graph (0, 0)][DBLP]
    ICANN, 2002, pp:510-515 [Conf]
  2. K. Y. Michael Wong, C. H. Yeung, David Saad
    Message-Passing for Inference and Optimization of Real Variables on Sparse Graphs. [Citation Graph (0, 0)][DBLP]
    ICONIP (2), 2006, pp:754-763 [Conf]
  3. Stéphane Bounkong, Borémi Toch, David Saad
    Optimal Embedding for Watermarking in Discrete Data Spaces. [Citation Graph (0, 0)][DBLP]
    Information Hiding, 2005, pp:77-90 [Conf]
  4. Jort van Mourik, David Saad, Yoshiyuki Kabashima
    Weight vs. Magnetization Enumerator for Gallager Codes. [Citation Graph (0, 0)][DBLP]
    IMA Int. Conf., 2001, pp:148-157 [Conf]
  5. David Saad, Yoshiyuki Kabashima, Tatsuto Murayama, Renato Vicente
    Statistical Physics of Low Density Parity Check Error Correcting Codes. [Citation Graph (0, 0)][DBLP]
    IMA Int. Conf., 2001, pp:307-316 [Conf]
  6. Anthony C. C. Coolen, David Saad
    Dynamics of Supervised Learning with Restricted Training Sets. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:197-203 [Conf]
  7. Yoshiyuki Kabashima, Tatsuto Murayama, David Saad, Renato Vicente
    Regular and Irregular Gallager-zype Error-Correcting Codes. [Citation Graph (0, 0)][DBLP]
    NIPS, 1999, pp:272-278 [Conf]
  8. Yoshiyuki Kabashima, David Saad
    The Belief in TAP. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:246-252 [Conf]
  9. Todd K. Leen, Bernhard Schottky, David Saad
    Two Approaches to Optimal Annealing. [Citation Graph (0, 0)][DBLP]
    NIPS, 1997, pp:- [Conf]
  10. Glenn Marion, David Saad
    Hyperparameters Evidence and Generalisation for an Unrealisable Rule. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:255-262 [Conf]
  11. Magnus Rattray, David Saad
    Globally Optimal On-line Learning Rules. [Citation Graph (0, 0)][DBLP]
    NIPS, 1997, pp:- [Conf]
  12. David Saad, Sara A. Solla
    Dynamics of On-Line Gradient Descent Learning for Multilayer Neural Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1995, pp:302-308 [Conf]
  13. David Saad, Sara A. Solla
    Learning with Noise and Regularizers in Multilayer Neural Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:260-266 [Conf]
  14. Peter Sollich, David Saad
    Learning from queries for maximum information gain in imperfectly learnable problems. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:287-294 [Conf]
  15. Renato Vicente, David Saad, Yoshiyuki Kabashima
    Error-correcting Codes on a Bethe-like Lattice. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:322-328 [Conf]
  16. Ansgar H. L. West, David Saad
    Adaptive Back-Propagation in On-Line Learning of Multilayer Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1995, pp:323-329 [Conf]
  17. Ansgar H. L. West, David Saad, Ian T. Nabney
    The Learning Dynamcis of a Universal Approximator. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:288-294 [Conf]
  18. K. Y. Michael Wong, David Saad, Zhuo Gao
    Message passing for task redistribution on sparse graphs. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  19. David Saad
    Training Recurrent Neural Networks - The Minimal Trajectory Algorithm. [Citation Graph (0, 0)][DBLP]
    Int. J. Neural Syst., 1992, v:3, n:1, pp:83-101 [Journal]
  20. David Saad, R. Sasson
    Examining the Chir Algorithm Performance for Multilayer Networks and Continuous Input Vectors. [Citation Graph (0, 0)][DBLP]
    Int. J. Neural Syst., 1992, v:3, n:2, pp:157-165 [Journal]
  21. N. Shamir, David Saad, Emanuel Marom
    Neural Net Pruning Based On Functional Behavior Of Neurons. [Citation Graph (0, 0)][DBLP]
    Int. J. Neural Syst., 1993, v:4, n:2, pp:143-158 [Journal]
  22. Stéphane Bounkong, Borémi Toch, David Saad, David Lowe
    ICA for Watermarking Digital Images. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2003, v:4, n:, pp:1471-1498 [Journal]
  23. Jason A. S. Freeman, David Saad
    Learning and generalization in radial basis function networks. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 1995, v:7, n:5, pp:1000-1020 [Journal]
  24. Jason A. S. Freeman, David Saad
    Online Learning in Radial Basis Function Networks. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 1997, v:9, n:7, pp:1601-1622 [Journal]
  25. Barak Cohen, David Saad, Emanuel Marom
    Efficient Training of Recurrent Neural Network with Time Delays. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1997, v:10, n:1, pp:51-59 [Journal]
  26. Jason A. S. Freeman, David Saad
    Radial Basis Function Networks: Generalization in Over-realizable and Unrealizable Scenarios. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1996, v:9, n:9, pp:1521-1529 [Journal]
  27. David Saad
    General Gaussian Priors for Improved Generalization. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1996, v:9, n:6, pp:937-945 [Journal]
  28. Jack Raymond, David Saad
    Sparsely-spread CDMA - a statistical mechanics based analysis [Citation Graph (0, 0)][DBLP]
    CoRR, 2007, v:0, n:, pp:- [Journal]
  29. K. Y. Michael Wong, David Saad
    Minimizing Unsatisfaction in Colorful Neighborhoods [Citation Graph (0, 0)][DBLP]
    CoRR, 2007, v:0, n:, pp:- [Journal]
  30. Juan P. Neirotti, David Saad
    Improved message passing for inference in densely connected systems [Citation Graph (0, 0)][DBLP]
    CoRR, 2005, v:0, n:, pp:- [Journal]

  31. Composite CDMA - A statistical mechanics analysis [Citation Graph (, )][DBLP]


  32. Computing with Noise - Phase Transitions in Boolean Formulas [Citation Graph (, )][DBLP]


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