Follow
Hava Siegelmann
Hava Siegelmann
Professor of Computer Science, and Brain Sciences, UMass Amherst
Verified email at cs.umass.edu
Title
Cited by
Cited by
Year
Support vector clustering
A Ben-Hur, D Horn, HT Siegelmann, V Vapnik
Journal of machine learning research 2 (Dec), 125-137, 2001
19292001
On the computational power of neural nets
HT Siegelmann, ED Sontag
Proceedings of the fifth annual workshop on Computational learning theory …, 1992
12201992
Neural networks and analog computation: beyond the Turing limit
HT Siegelmann
Springer Science & Business Media, 2012
7052012
Computational capabilities of recurrent NARX neural networks
HT Siegelmann, BG Horne, CL Giles
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 27 …, 1997
5291997
Analog computation via neural networks
HT Siegelmann, ED Sontag
Theoretical Computer Science 131 (2), 331-360, 1994
5291994
Turing computability with neural nets
HT Siegelmann, ED Sontag
Applied Mathematics Letters 4 (6), 77-80, 1991
5271991
Computation beyond the Turing limit
HT Siegelmann
Science 268 (5210), 545-548, 1995
4191995
Posttranscriptional regulation of BK channel splice variant stability by miR-9 underlies neuroadaptation to alcohol
AZ Pietrzykowski, RM Friesen, GE Martin, SI Puig, CL Nowak, PM Wynne, ...
Neuron 59 (2), 274-287, 2008
3632008
Bindsnet: A machine learning-oriented spiking neural networks library in python
H Hazan, DJ Saunders, H Khan, D Patel, DT Sanghavi, HT Siegelmann, ...
Frontiers in neuroinformatics 12, 89, 2018
1642018
A support vector clustering method
A Ben-Hur, D Horn, HT Siegelmann, V Vapnik
Proceedings 15th International Conference on Pattern Recognition. ICPR-2000 …, 2000
1602000
Brain-inspired replay for continual learning with artificial neural networks
GM van de Ven, HT Siegelmann, AS Tolias
Nature communications 11 (1), 1-14, 2020
1582020
The dynamic universality of sigmoidal neural networks
J Kilian, HT Siegelmann
Information and computation 128 (1), 48-56, 1996
1381996
Symbolic dynamics and computation in model gene networks
R Edwards, HT Siegelmann, K Aziza, L Glass
Chaos: An Interdisciplinary Journal of Nonlinear Science 11 (1), 160-169, 2001
1172001
A support vector method for clustering
A Ben-Hur, D Horn, H Siegelmann, V Vapnik
Advances in Neural Information Processing Systems 13, 2000
1162000
Analog computation with dynamical systems
HT Siegelmann, S Fishman
Physica D: Nonlinear Phenomena 120 (1-2), 214-235, 1998
1061998
The global landscape of cognition: hierarchical aggregation as an organizational principle of human cortical networks and functions
P Taylor, JN Hobbs, J Burroni, HT Siegelmann
Scientific reports 5 (1), 1-18, 2015
1002015
Neural and super-Turing computing
HT Siegelmann
Minds and Machines 13 (1), 103-114, 2003
962003
Input variable selection for neural networks: Application to predicting the US business cycle
J Utans, J Moody, S Rehfuss, H Siegelmann
Proceedings of 1995 Conference on Computational Intelligence for Financial …, 1995
741995
On the complexity of training neural networks with continuous activation functions
B DasGupta, HT Siegelmann, E Sontag
IEEE Transactions on Neural Networks 6 (6), 1490-1504, 1995
721995
A theory of complexity for continuous time systems
A Ben-Hur, HT Siegelmann, S Fishman
journal of complexity 18 (1), 51-86, 2002
702002
The system can't perform the operation now. Try again later.
Articles 1–20