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Eduardo D. Sontag: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Piotr Berman, Bhaskar DasGupta, Eduardo D. Sontag
    Randomized Approximation Algorithms for Set Multicover Problems with Applications to Reverse Engineering of Protein and Gene Networks. [Citation Graph (0, 0)][DBLP]
    APPROX-RANDOM, 2004, pp:39-50 [Conf]
  2. José L. Balcázar, Ricard Gavaldà, Hava T. Siegelmann, Eduardo D. Sontag
    Some Structural Complexity Aspects of Neural Computation. [Citation Graph (0, 0)][DBLP]
    Structure in Complexity Theory Conference, 1993, pp:253-265 [Conf]
  3. Christian Darken, Michael Donahue, Leonid Gurvits, Eduardo D. Sontag
    Rate of Approximation Results Motivated by Robust Neural Network Learning. [Citation Graph (0, 0)][DBLP]
    COLT, 1993, pp:303-309 [Conf]
  4. Bhaskar DasGupta, Hava T. Siegelmann, Eduardo D. Sontag
    On a Learnability Question Associated to Neural Networks with Continuous Activations (Extended Abstract). [Citation Graph (0, 0)][DBLP]
    COLT, 1994, pp:47-56 [Conf]
  5. Hava T. Siegelmann, Eduardo D. Sontag
    On the Computational Power of Neural Nets. [Citation Graph (0, 0)][DBLP]
    COLT, 1992, pp:440-449 [Conf]
  6. Pascal Koiran, Eduardo D. Sontag
    Vapnik-Chervonenkis Dimension of Recurrent Neural Networks. [Citation Graph (0, 0)][DBLP]
    EuroCOLT, 1997, pp:223-237 [Conf]
  7. Wolfgang Maass, Georg Schnitger, Eduardo D. Sontag
    On the Computational Power of Sigmoid versus Boolean Threshold Circuits [Citation Graph (0, 0)][DBLP]
    FOCS, 1991, pp:767-776 [Conf]
  8. Eduardo D. Sontag
    Interconnected Automata and Linear Systems: A Theoretical Framework in Discrete-Time. [Citation Graph (0, 0)][DBLP]
    Hybrid Systems, 1995, pp:436-448 [Conf]
  9. Hava T. Siegelmann, Eduardo D. Sontag, C. Lee Giles
    The Complexity of Language Recognition by Neural Networks. [Citation Graph (0, 0)][DBLP]
    IFIP Congress (1), 1992, pp:329-335 [Conf]
  10. Hava T. Siegelmann, Eduardo D. Sontag
    Analog Computation Via Neural Networks. [Citation Graph (0, 0)][DBLP]
    ISTCS, 1993, pp:98-107 [Conf]
  11. Bhaskar DasGupta, Eduardo D. Sontag
    Sample Complexity for Learning Recurrent Perceptron Mappings. [Citation Graph (0, 0)][DBLP]
    NIPS, 1995, pp:204-210 [Conf]
  12. Pascal Koiran, Eduardo D. Sontag
    Neural Networks with Quadratic VC Dimension. [Citation Graph (0, 0)][DBLP]
    NIPS, 1995, pp:197-203 [Conf]
  13. Wolfgang Maass, Eduardo D. Sontag
    A Precise Characterization of the Class of Languages Recognized by Neural Nets under Gaussian and Other Common Noise Distributions. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:281-287 [Conf]
  14. Wolfgang Maass, Prashant Joshi, Eduardo D. Sontag
    Principles of real-time computing with feedback applied to cortical microcircuit models. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  15. Thomas Natschläger, Wolfgang Maass, Eduardo D. Sontag, Anthony M. Zador
    Processing of Time Series by Neural Circuits with Biologically Realistic Synaptic Dynamics. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:145-151 [Conf]
  16. Eduardo D. Sontag
    Remarks on Interpolation and Recognition Using Neural Nets. [Citation Graph (0, 0)][DBLP]
    NIPS, 1990, pp:939-945 [Conf]
  17. Patrick De Leenheer, David Angeli, Eduardo D. Sontag
    A Feedback Perspective for Chemostat Models with Crowding Effects. [Citation Graph (0, 0)][DBLP]
    POSTA, 2003, pp:167-174 [Conf]
  18. Patrick De Leenheer, David Angeli, Eduardo D. Sontag
    Small-gain Theorems for Predator-prey Systems. [Citation Graph (0, 0)][DBLP]
    POSTA, 2003, pp:191-198 [Conf]
  19. Angus Macintyre, Eduardo D. Sontag
    Finiteness results for sigmoidal "neural" networks. [Citation Graph (0, 0)][DBLP]
    STOC, 1993, pp:325-334 [Conf]
  20. Bhaskar DasGupta, German A. Enciso, Eduardo D. Sontag, Yi Zhang
    Algorithmic and Complexity Results for Decompositions of Biological Networks into Monotone Subsystems. [Citation Graph (0, 0)][DBLP]
    WEA, 2006, pp:253-264 [Conf]
  21. Eduardo D. Sontag, Anatoly Kiyatkin, Boris N. Kholodenko
    Inferring dynamic architecture of cellular networks using time series of gene expression, protein and metabolite data. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2004, v:20, n:12, pp:1877-1886 [Journal]
  22. Pirkko Kuusela, Daniel Ocone, Eduardo D. Sontag
    Learning Complexity Dimensions for a Continuous-Time Control System [Citation Graph (0, 0)][DBLP]
    CoRR, 2000, v:0, n:, pp:- [Journal]
  23. Pascal Koiran, Eduardo D. Sontag
    Vapnik-Chervonenkis Dimension of Recurrent Neural Networks. [Citation Graph (0, 0)][DBLP]
    Discrete Applied Mathematics, 1998, v:86, n:1, pp:63-79 [Journal]
  24. Piotr Berman, Bhaskar DasGupta, Eduardo D. Sontag
    Randomized approximation algorithms for set multicover problems with applications to reverse engineering of protein and gene networks. [Citation Graph (0, 0)][DBLP]
    Discrete Applied Mathematics, 2007, v:155, n:6-7, pp:733-749 [Journal]
  25. Wolfgang Maass, Eduardo D. Sontag
    Neural Systems as Nonlinear Filters [Citation Graph (0, 0)][DBLP]
    Electronic Colloquium on Computational Complexity (ECCC), 2000, v:7, n:31, pp:- [Journal]
  26. Réka Albert, Bhaskar DasGupta, Riccardo Dondi, Eduardo D. Sontag
    Inferring (Biological) Signal Transduction Networks via Transitive Reductions of Directed Graphs [Citation Graph (0, 0)][DBLP]
    Electronic Colloquium on Computational Complexity (ECCC), 2006, v:, n:010, pp:- [Journal]
  27. Eduardo D. Sontag
    On Split Realizations of Response Maps over Rings [Citation Graph (0, 0)][DBLP]
    Information and Control, 1978, v:37, n:1, pp:23-33 [Journal]
  28. Eduardo D. Sontag
    Conditions for Abstract Nonlinear Regulation [Citation Graph (0, 0)][DBLP]
    Information and Control, 1981, v:51, n:2, pp:105-127 [Journal]
  29. Renée Koplon, Eduardo D. Sontag
    Using Fourier-neural recurrent networks to fit sequential input/output data. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 1997, v:15, n:3-4, pp:225-248 [Journal]
  30. Eduardo D. Sontag
    Real Addition and the Polynomial Hierarchy. [Citation Graph (0, 0)][DBLP]
    Inf. Process. Lett., 1985, v:20, n:3, pp:115-120 [Journal]
  31. Pascal Koiran, Eduardo D. Sontag
    Neural Networks with Quadratic VC Dimension. [Citation Graph (0, 0)][DBLP]
    J. Comput. Syst. Sci., 1997, v:54, n:1, pp:190-198 [Journal]
  32. Yves Rouchaleau, Eduardo D. Sontag
    On the Existence of Minimal Realizations of Linear Dynamical Systems over Noetherian Integral Domains. [Citation Graph (0, 0)][DBLP]
    J. Comput. Syst. Sci., 1979, v:18, n:1, pp:65-75 [Journal]
  33. Hava T. Siegelmann, Eduardo D. Sontag
    On the Computational Power of Neural Nets. [Citation Graph (0, 0)][DBLP]
    J. Comput. Syst. Sci., 1995, v:50, n:1, pp:132-150 [Journal]
  34. Eduardo D. Sontag
    On Some Questions of Rationality and Decidability. [Citation Graph (0, 0)][DBLP]
    J. Comput. Syst. Sci., 1975, v:11, n:3, pp:375-381 [Journal]
  35. Eduardo D. Sontag
    Feedforward Nets for Interpolation and Classification. [Citation Graph (0, 0)][DBLP]
    J. Comput. Syst. Sci., 1992, v:45, n:1, pp:20-48 [Journal]
  36. Eduardo D. Sontag
    On Linear Systems and Noncommutative Rings. [Citation Graph (0, 0)][DBLP]
    Mathematical Systems Theory, 1976, v:9, n:4, pp:327-344 [Journal]
  37. Eduardo D. Sontag
    The Lattice of Minimal Realizations of Response Maps Over Rings. [Citation Graph (0, 0)][DBLP]
    Mathematical Systems Theory, 1977, v:11, n:, pp:169-175 [Journal]
  38. Wolfgang Maass, Eduardo D. Sontag
    Neural Systems as Nonlinear Filters. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2000, v:12, n:8, pp:1743-1772 [Journal]
  39. Wolfgang Maass, Eduardo D. Sontag
    Analog Neural Nets with Gaussian or Other Common Noise Distribution Cannot Recognize Arbitrary Regular Languages. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 1999, v:11, n:3, pp:771-782 [Journal]
  40. Eduardo D. Sontag
    Shattering All Sets of k Points in 'General Position' Requires (k - 1)/2 Parameters. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 1997, v:9, n:2, pp:337-348 [Journal]
  41. Eduardo D. Sontag, Héctor J. Sussmann
    Back propagation separates where perceptrons do. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1991, v:4, n:2, pp:243-249 [Journal]
  42. Bhaskar DasGupta, Eduardo D. Sontag
    A polynomial-time algorithm for checking equivalence under certain semiring congruences motivated by the state-space isomorphism problem for hybrid systems. [Citation Graph (0, 0)][DBLP]
    Theor. Comput. Sci., 2001, v:262, n:1, pp:161-189 [Journal]
  43. Hava T. Siegelmann, Eduardo D. Sontag
    Analog Computation via Neural Networks. [Citation Graph (0, 0)][DBLP]
    Theor. Comput. Sci., 1994, v:131, n:2, pp:331-360 [Journal]
  44. Bhaskar DasGupta, Eduardo D. Sontag
    Sample complexity for learning recurrent perceptron mappings. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Theory, 1996, v:42, n:5, pp:1479-1487 [Journal]
  45. Bradley W. Dickinson, Eduardo D. Sontag
    Dynamic realizations of sufficient sequences. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Theory, 1985, v:31, n:5, pp:670-676 [Journal]
  46. Réka Albert, Bhaskar DasGupta, Riccardo Dondi, Sema Kachalo, Eduardo D. Sontag, Alexander Zelikovsky, Kelly Westbrooks
    A Novel Method for Signal Transduction Network Inference from Indirect Experimental Evidence. [Citation Graph (0, 0)][DBLP]
    WABI, 2007, pp:407-419 [Conf]

  47. Stabilizing and Destabilizing Effects of Embedding 3-Node Subgraphs on the State Space of Boolean Networks. [Citation Graph (, )][DBLP]


  48. Global stability for monotone tridiagonal systems with negative feedback. [Citation Graph (, )][DBLP]


  49. Synchronization of interconnected systems with an input-output approach. Part I: Main results. [Citation Graph (, )][DBLP]


  50. Synchronization of interconnected systems with an input-output approach. Part II: State-space result and application to biochemical networks. [Citation Graph (, )][DBLP]


  51. On persistence of chemical reaction networks with time-dependent kinetics and no global conservation laws. [Citation Graph (, )][DBLP]


  52. Inferring (Biological) Signal Transduction Networks via Transitive Reductions of Directed Graphs. [Citation Graph (, )][DBLP]


  53. NET-SYNTHESIS: a software for synthesis, inference and simplification of signal transduction networks. [Citation Graph (, )][DBLP]


  54. Computational aspects of feedback in neural circuits. [Citation Graph (, )][DBLP]


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