2008 | ||
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55 | EE | Chikoo Oosawa, Michael A. Savageau, Abdul Salam Jarrah, Reinhard C. Laubenbacher, Eduardo D. Sontag: Stabilizing and Destabilizing Effects of Embedding 3-Node Subgraphs on the State Space of Boolean Networks. ACRI 2008: 100-107 |
54 | EE | Réka Albert, Bhaskar DasGupta, Riccardo Dondi, Eduardo D. Sontag: Inferring (Biological) Signal Transduction Networks via Transitive Reductions of Directed Graphs. Algorithmica 51(2): 129-159 (2008) |
53 | EE | Sema Kachalo, Ranran Zhang, Eduardo D. Sontag, Réka Albert, Bhaskar DasGupta: NET-SYNTHESIS: a software for synthesis, inference and simplification of signal transduction networks. Bioinformatics 24(2): 293-295 (2008) |
2007 | ||
52 | EE | 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. WABI 2007: 407-419 |
51 | EE | Piotr Berman, Bhaskar DasGupta, Eduardo D. Sontag: Randomized approximation algorithms for set multicover problems with applications to reverse engineering of protein and gene networks. Discrete Applied Mathematics 155(6-7): 733-749 (2007) |
50 | EE | 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. Journal of Computational Biology 14(7): 927-949 (2007) |
2006 | ||
49 | EE | Bhaskar DasGupta, German A. Enciso, Eduardo D. Sontag, Yi Zhang: Algorithmic and Complexity Results for Decompositions of Biological Networks into Monotone Subsystems. WEA 2006: 253-264 |
48 | EE | Eduardo D. Sontag, Madalena Chaves: Exact computation of amplification for a class of nonlinear systems arising from cellular signaling pathways. Automatica 42(11): 1987-1992 (2006) |
47 | EE | Murat Arcak, Eduardo D. Sontag: Diagonal stability of a class of cyclic systems and its connection with the secant criterion. Automatica 42(9): 1531-1537 (2006) |
46 | EE | Réka Albert, Bhaskar DasGupta, Riccardo Dondi, Eduardo D. Sontag: Inferring (Biological) Signal Transduction Networks via Transitive Reductions of Directed Graphs Electronic Colloquium on Computational Complexity (ECCC)(010): (2006) |
45 | EE | Wolfgang Maass, Prashant Joshi, Eduardo D. Sontag: Computational aspects of feedback in neural circuits. Electronic Colloquium on Computational Complexity (ECCC) 13(137): (2006) |
2005 | ||
44 | EE | Wolfgang Maass, Prashant Joshi, Eduardo D. Sontag: Principles of real-time computing with feedback applied to cortical microcircuit models. NIPS 2005 |
2004 | ||
43 | EE | Piotr Berman, Bhaskar DasGupta, Eduardo D. Sontag: Randomized Approximation Algorithms for Set Multicover Problems with Applications to Reverse Engineering of Protein and Gene Networks. APPROX-RANDOM 2004: 39-50 |
42 | EE | Eduardo D. Sontag, Anatoly Kiyatkin, Boris N. Kholodenko: Inferring dynamic architecture of cellular networks using time series of gene expression, protein and metabolite data. Bioinformatics 20(12): 1877-1886 (2004) |
2003 | ||
41 | EE | Patrick De Leenheer, David Angeli, Eduardo D. Sontag: A Feedback Perspective for Chemostat Models with Crowding Effects. POSTA 2003: 167-174 |
40 | EE | Patrick De Leenheer, David Angeli, Eduardo D. Sontag: Small-gain Theorems for Predator-prey Systems. POSTA 2003: 191-198 |
2001 | ||
39 | EE | 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. Theor. Comput. Sci. 262(1): 161-189 (2001) |
2000 | ||
38 | Thomas Natschläger, Wolfgang Maass, Eduardo D. Sontag, Anthony M. Zador: Processing of Time Series by Neural Circuits with Biologically Realistic Synaptic Dynamics. NIPS 2000: 145-151 | |
37 | EE | Pirkko Kuusela, Daniel Ocone, Eduardo D. Sontag: Learning Complexity Dimensions for a Continuous-Time Control System CoRR math.OC/0012163: (2000) |
36 | EE | Wolfgang Maass, Eduardo D. Sontag: Neural Systems as Nonlinear Filters Electronic Colloquium on Computational Complexity (ECCC) 7(31): (2000) |
35 | Wolfgang Maass, Eduardo D. Sontag: Neural Systems as Nonlinear Filters. Neural Computation 12(8): 1743-1772 (2000) | |
1999 | ||
34 | Wolfgang Maass, Eduardo D. Sontag: Analog Neural Nets with Gaussian or Other Common Noise Distribution Cannot Recognize Arbitrary Regular Languages. Neural Computation 11(3): 771-782 (1999) | |
1998 | ||
33 | EE | Wolfgang Maass, Eduardo D. Sontag: A Precise Characterization of the Class of Languages Recognized by Neural Nets under Gaussian and Other Common Noise Distributions. NIPS 1998: 281-287 |
32 | EE | Pascal Koiran, Eduardo D. Sontag: Vapnik-Chervonenkis Dimension of Recurrent Neural Networks. Discrete Applied Mathematics 86(1): 63-79 (1998) |
1997 | ||
31 | Pascal Koiran, Eduardo D. Sontag: Vapnik-Chervonenkis Dimension of Recurrent Neural Networks. EuroCOLT 1997: 223-237 | |
30 | EE | Wolfgang Maass, Eduardo D. Sontag: Analog Neural Nets with Gaussian or other Common Noise Distributions cannot Recognize Arbitrary Regular Languages Electronic Colloquium on Computational Complexity (ECCC) 4(52): (1997) |
29 | Pascal Koiran, Eduardo D. Sontag: Neural Networks with Quadratic VC Dimension. J. Comput. Syst. Sci. 54(1): 190-198 (1997) | |
28 | EE | Eduardo D. Sontag: Shattering All Sets of k Points in 'General Position' Requires (k - 1)/2 Parameters. Neural Computation 9(2): 337-348 (1997) |
27 | EE | Renée Koplon, Eduardo D. Sontag: Using Fourier-neural recurrent networks to fit sequential input/output data. Neurocomputing 15(3-4): 225-248 (1997) |
1996 | ||
26 | Rajeev Alur, Thomas A. Henzinger, Eduardo D. Sontag: Hybrid Systems III: Verification and Control, Proceedings of the DIMACS/SYCON Workshop, October 22-25, 1995, Ruttgers University, New Brunswick, NJ, USA Springer 1996 | |
25 | Bhaskar DasGupta, Eduardo D. Sontag: Sample complexity for learning recurrent perceptron mappings. IEEE Transactions on Information Theory 42(5): 1479-1487 (1996) | |
1995 | ||
24 | Eduardo D. Sontag: Interconnected Automata and Linear Systems: A Theoretical Framework in Discrete-Time. Hybrid Systems 1995: 436-448 | |
23 | EE | Pascal Koiran, Eduardo D. Sontag: Neural Networks with Quadratic VC Dimension. NIPS 1995: 197-203 |
22 | EE | Bhaskar DasGupta, Eduardo D. Sontag: Sample Complexity for Learning Recurrent Perceptron Mappings. NIPS 1995: 204-210 |
21 | Hava T. Siegelmann, Eduardo D. Sontag: On the Computational Power of Neural Nets. J. Comput. Syst. Sci. 50(1): 132-150 (1995) | |
1994 | ||
20 | EE | Bhaskar DasGupta, Hava T. Siegelmann, Eduardo D. Sontag: On a Learnability Question Associated to Neural Networks with Continuous Activations (Extended Abstract). COLT 1994: 47-56 |
19 | Hava T. Siegelmann, Eduardo D. Sontag: Analog Computation via Neural Networks. Theor. Comput. Sci. 131(2): 331-360 (1994) | |
1993 | ||
18 | EE | Christian Darken, Michael Donahue, Leonid Gurvits, Eduardo D. Sontag: Rate of Approximation Results Motivated by Robust Neural Network Learning. COLT 1993: 303-309 |
17 | Hava T. Siegelmann, Eduardo D. Sontag: Analog Computation Via Neural Networks. ISTCS 1993: 98-107 | |
16 | EE | Angus Macintyre, Eduardo D. Sontag: Finiteness results for sigmoidal "neural" networks. STOC 1993: 325-334 |
15 | José L. Balcázar, Ricard Gavaldà, Hava T. Siegelmann, Eduardo D. Sontag: Some Structural Complexity Aspects of Neural Computation. Structure in Complexity Theory Conference 1993: 253-265 | |
1992 | ||
14 | EE | Hava T. Siegelmann, Eduardo D. Sontag: On the Computational Power of Neural Nets. COLT 1992: 440-449 |
13 | Hava T. Siegelmann, Eduardo D. Sontag, C. Lee Giles: The Complexity of Language Recognition by Neural Networks. IFIP Congress (1) 1992: 329-335 | |
12 | Eduardo D. Sontag: Feedforward Nets for Interpolation and Classification. J. Comput. Syst. Sci. 45(1): 20-48 (1992) | |
1991 | ||
11 | Wolfgang Maass, Georg Schnitger, Eduardo D. Sontag: On the Computational Power of Sigmoid versus Boolean Threshold Circuits FOCS 1991: 767-776 | |
10 | EE | Eduardo D. Sontag, Héctor J. Sussmann: Back propagation separates where perceptrons do. Neural Networks 4(2): 243-249 (1991) |
1990 | ||
9 | EE | Eduardo D. Sontag: Remarks on Interpolation and Recognition Using Neural Nets. NIPS 1990: 939-945 |
1985 | ||
8 | Bradley W. Dickinson, Eduardo D. Sontag: Dynamic realizations of sufficient sequences. IEEE Transactions on Information Theory 31(5): 670-676 (1985) | |
7 | Eduardo D. Sontag: Real Addition and the Polynomial Hierarchy. Inf. Process. Lett. 20(3): 115-120 (1985) | |
1981 | ||
6 | Eduardo D. Sontag: Conditions for Abstract Nonlinear Regulation Information and Control 51(2): 105-127 (1981) | |
1979 | ||
5 | Yves Rouchaleau, Eduardo D. Sontag: On the Existence of Minimal Realizations of Linear Dynamical Systems over Noetherian Integral Domains. J. Comput. Syst. Sci. 18(1): 65-75 (1979) | |
1978 | ||
4 | Eduardo D. Sontag: On Split Realizations of Response Maps over Rings Information and Control 37(1): 23-33 (1978) | |
1977 | ||
3 | Eduardo D. Sontag: The Lattice of Minimal Realizations of Response Maps Over Rings. Mathematical Systems Theory 11: 169-175 (1977) | |
1976 | ||
2 | Eduardo D. Sontag: On Linear Systems and Noncommutative Rings. Mathematical Systems Theory 9(4): 327-344 (1976) | |
1975 | ||
1 | Eduardo D. Sontag: On Some Questions of Rationality and Decidability. J. Comput. Syst. Sci. 11(3): 375-381 (1975) |