Hava Siegelmann

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	すべて	2020 年以来
引用	12282	4323
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36 件の論文

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Asa Ben-HurComputer Science, Colorado State University確認したメールアドレス: cs.colostate.edu
Eduardo SontagNortheastern University ECE and BioE確認したメールアドレス: northeastern.edu
vapnikProfessor of Columbia, Fellow of NEC Labs America, 確認したメールアドレス: nec-labs.com
Megan M. OlsenLoyola University Maryland確認したメールアドレス: loyola.edu
C Lee GilesPennsylvania State University確認したメールアドレス: psu.edu
Bill HorneSenior Manager, AWS Cryptography確認したメールアドレス: amazon.com
Jose L. BalcazarProfessor, Computer Science, Universitat Politècnica de Catalunya確認したメールアドレス: upc.edu
Bhaskar DasGuptaProfessor of Computer Science, University of Illinois at Chicago確認したメールアドレス: uic.edu
Leon GlassProfessor of Physiology, McGill University確認したメールアドレス: mcgill.ca
Ricard GavaldàUniversitat Politècnica de Catalunya + Amalfi Analytics確認したメールアドレス: cs.upc.edu
Kyle HarringtonChan Zuckerberg Institute for Advanced Biological Imaging確認したメールアドレス: czii.org
Dino LevyAssociate Professor of Neuroeconomics and Neuromarketing確認したメールアドレス: post.tau.ac.il
João Pedro NetoLASIGE, Dep. de Informática, Faculdade de Ciências, Universidade de Lisboa, Portugal確認したメールアドレス: fc.ul.pt
Joshua FeinbergUniversity of Haifa and Technion確認したメールアドレス: physics.technion.ac.il
Dmitry NowickiUMASS Amherst, Computer Science Dept確認したメールアドレス: cs.umass.edu
Hod LipsonProfessor of Mechanical Engineering, Columbia University確認したメールアドレス: columbia.edu
Theodore J. PerkinsOttawa Hospital Research Institute確認したメールアドレス: ohri.ca
Ronald R YagerProfessor Iona College確認したメールアドレス: panix.com
Pat VergaCohere確認したメールアドレス: cohere.com
Frederick C Harris, Jr.Professor of Computer Science and Engineering, University of Nevada確認したメールアドレス: cse.unr.edu

フォロー

Hava Siegelmann

Professor of Computer Science, and Brain Sciences, UMass Amherst

確認したメールアドレス: cs.umass.edu

AI Computational Neuroscience Computational Biology


タイトル引用回数順公開年順タイトル順	引用先引用先	年
Support vector clustering A Ben-Hur, D Horn, HT Siegelmann, V Vapnik Journal of machine learning research 2 (Dec), 125-137, 2001	2201	2001
On the computational power of neural nets HT Siegelmann, ED Sontag Proceedings of the fifth annual workshop on Computational learning theory …, 1992	1476	1992
Neural networks and analog computation: beyond the Turing limit HT Siegelmann Springer Science & Business Media, 2012	755	2012
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	631	1997
Turing computability with neural nets HT Siegelmann, ED Sontag Applied Mathematics Letters 4 (6), 77-80, 1991	604	1991
Analog computation via neural networks HT Siegelmann, ED Sontag Theoretical Computer Science 131 (2), 331-360, 1994	578	1994
Brain-inspired replay for continual learning with artificial neural networks GM Van de Ven, HT Siegelmann, AS Tolias Nature communications 11 (1), 4069, 2020	573	2020
Computation beyond the Turing limit HT Siegelmann Science 268 (5210), 545-548, 1995	464	1995
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	394	2008
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	334	2018
Biological underpinnings for lifelong learning machines D Kudithipudi, M Aguilar-Simon, J Babb, M Bazhenov, D Blackiston, ... Nature Machine Intelligence 4 (3), 196-210, 2022	237	2022
A support vector clustering method A Ben-Hur, D Horn, HT Siegelmann, V Vapnik Proceedings 15th International Conference on Pattern Recognition. ICPR-2000 …, 2000	179	2000
The dynamic universality of sigmoidal neural networks J Kilian, HT Siegelmann Information and computation 128 (1), 48-56, 1996	157	1996
Replay in deep learning: Current approaches and missing biological elements TL Hayes, GP Krishnan, M Bazhenov, HT Siegelmann, TJ Sejnowski, ... Neural computation 33 (11), 2908-2950, 2021	148	2021
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), 18112, 2015	146	2015
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	126	2001
Analog computation with dynamical systems HT Siegelmann, S Fishman Physica D: Nonlinear Phenomena 120 (1-2), 214-235, 1998	120	1998
Neural and super-Turing computing HT Siegelmann Minds and Machines 13, 103-114, 2003	111	2003
A support vector method for hierarchical clustering A Ben-Hur, D Horn, HT Siegelmann, V Vapnik Advances in neural information processing systems 13, 367-373, 2001	110	2001
Improved robustness of reinforcement learning policies upon conversion to spiking neuronal network platforms applied to Atari Breakout game D Patel, H Hazan, DJ Saunders, HT Siegelmann, R Kozma Neural Networks 120, 108-115, 2019	102	2019

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