Hava T. Siegelmann
Orcid: 0000-0003-4938-8723Affiliations:
- University of Massachusetts Amherst, USA
According to our database1,
Hava T. Siegelmann
authored at least 128 papers
between 1991 and 2024.
Collaborative distances:
Collaborative distances:
Awards
IEEE Fellow
IEEE Fellow 2018, "For contributions to neural computation".
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
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on orcid.org
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on id.loc.gov
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on cs.umass.edu
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on isni.org
On csauthors.net:
Bibliography
2024
IEEE Trans. Neural Networks Learn. Syst., June, 2024
Optimizing Attention and Cognitive Control Costs Using Temporally Layered Architectures.
Neural Comput., 2024
Nat. Mac. Intell., 2024
Overcoming Slow Decision Frequencies in Continuous Control: Model-Based Sequence Reinforcement Learning for Model-Free Control.
CoRR, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
2023
Neurocomputing, August, 2023
Episodic Memory Theory for the Mechanistic Interpretation of Recurrent Neural Networks.
CoRR, 2023
CoRR, 2023
Episodic Memory Theory of Recurrent Neural Networks: Insights into Long-Term Information Storage and Manipulation.
Proceedings of the Topological, 2023
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023
2022
QuickNets: Saving Training and Preventing Overconfidence in Early-Exit Neural Architectures.
CoRR, 2022
CoRR, 2022
Automatic Transpiler that Efficiently Converts Digital Circuits to a Neural Network Representation.
Proceedings of the International Joint Conference on Neural Networks, 2022
2021
Neural Comput., 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
2020
Artif. Intell. Medicine, 2020
Lattice map spiking neural networks (LM-SNNs) for clustering and classifying image data.
Ann. Math. Artif. Intell., 2020
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020
Minibatch Processing for Speed-up and Scalability of Spiking Neural Network Simulation.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
2019
Neural Networks, 2019
Improved robustness of reinforcement learning policies upon conversion to spiking neuronal network platforms applied to Atari Breakout game.
Neural Networks, 2019
Improved robustness of reinforcement learning policies upon conversion to spiking neuronal network platforms applied to ATARI games.
CoRR, 2019
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019
Proceedings of the From Parallel to Emergent Computing, 1st Edition, 2019
2018
Frontiers Neuroinformatics, 2018
Error Forward-Propagation: Reusing Feedforward Connections to Propagate Errors in Deep Learning.
CoRR, 2018
CoRR, 2018
Proceedings of the INNS Conference on Big Data and Deep Learning 2018, 2018
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Proceedings of the Handbook of Approximation Algorithms and Metaheuristics, 2018
2017
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
2016
2015
Human Strategies for Multitasking, Search, and Control Improved via Real-Time Memory Aid for Gaze Location.
Frontiers ICT, 2015
EyeFrame: Real-Time Memory Aid Improves Human Multitasking via Domain-General Eye Tracking Procedures.
Frontiers ICT, 2015
Implementation of universal computation via small recurrent finite precision neural networks.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
2014
Int. J. Neural Syst., 2014
Proceedings of the Unconventional Computation and Natural Computation, 2014
2013
Proceedings of the International Conference on Computational Science, 2013
2012
Guest Editorial: Biologically Inspired Human-Robot Interactions - Developing More Natural Ways to Communicate with our Machines.
IEEE Trans. Auton. Ment. Dev., 2012
A year of neural network research: Special Issue on the 2011 International Joint Conference on Neural Networks.
Neural Networks, 2012
Neural Comput., 2012
2011
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011
Proceedings of the Logical Formalizations of Commonsense Reasoning, 2011
2010
Conspecific Emotional Cooperation Biases Population Dynamics: A Cellular Automata Approach.
Int. J. Nat. Comput. Res., 2010
Identification and control of intrinsic bias in a multiscale computational model of drug addiction.
Proceedings of the 2010 ACM Symposium on Applied Computing (SAC), 2010
2009
Proceedings of the Fifth International Workshop on Neural-Symbolic Learning and Reasoning, 2009
Drug Addiction: A Computational Multiscale Model Combining Neuropsychology, Cognition and Behavior.
Proceedings of the BIOSIGNALS 2009, 2009
2008
2007
Proceedings of the Handbook of Approximation Algorithms and Metaheuristics., 2007
The Self-Construction and -Repair of a Foraging Organism by Explicitly Specified Development from a Single Cell.
Artif. Life, 2007
Proceedings of the IJCAI 2007, 2007
2006
Proceedings of the 50 Years of Artificial Intelligence, 2006
2005
J. Assoc. Inf. Sci. Technol., 2005
2004
Proceedings of the ISMIR 2004, 2004
2003
J. Complex., 2003
Symbolic Processing in Neural Networks.
J. Braz. Comput. Soc., 2003
2002
2001
Neural Computing.
Bull. EATCS, 2001
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001
Proceedings of the Connectionist Models of Neurons, 2001
2000
Overcoming selective ensemble averaging: unsupervised identification of event-related brain potentials.
IEEE Trans. Biomed. Eng., 2000
Macroscopical Molecular Computation with Gene Networks.
Proceedings of the Unconventional Models of Computation, 2000
Proceedings of the Advances in Neural Information Processing Systems 13, 2000
Proceedings of the 15th International Conference on Pattern Recognition, 2000
Proceedings of the Finite Versus Infinite, 2000
1999
Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999
Neural networks and analog computation - beyond the Turing limit.
Progress in theoretical computer science, Birkhäuser, ISBN: 978-0-8176-3949-5, 1999
1998
A Theory of Complexity for Continuous Time Dynamics.
Proceedings of the International Colloquium Universal Machines and Computations, 1998
Proceedings of the Knowledge-Based Intelligent Electronic Systems, 1998
Proceedings of the Hybrid Neural Systems, 1998
1997
IEEE Trans. Syst. Man Cybern. Part B, 1997
IEEE Trans. Knowl. Data Eng., 1997
Computational power of neural networks: a characterization in terms of Kolmogorov complexity.
IEEE Trans. Inf. Theory, 1997
Proceedings of the Adaptive Processing of Sequences and Data Structures, 1997
A Generic Approach for Identification of Event Related Brain Potentials via a Competitive Neural Network Structure.
Proceedings of the Advances in Neural Information Processing Systems 10, 1997
Proceedings of the Computer Aided Systems Theory, 1997
1996
1995
IEEE Trans. Neural Networks, 1995
Proceedings of the SOFSEM '95, 22nd Seminar on Current Trends in Theory and Practice of Informatics, Milovy, Czech Republic, November 23, 1995
Proceedings of the SOFSEM '95, 22nd Seminar on Current Trends in Theory and Practice of Informatics, Milovy, Czech Republic, November 23, 1995
Input variable selection for neural networks: application to predicting the U.S. business cycle.
Proceedings of the IEEE/IAFE 1995 Computational Intelligence for Financial Engineering, 1995
Proceedings of the Computer Science Today: Recent Trends and Developments, 1995
1994
Towards Full Automation of the Discovery of Heuristics in a Nuclear Engineering Project: Integration With a Neural Information Language.
Proceedings of the Methodologies for Intelligent Systems, 8th International Symposium, 1994
An integrated symbolic and neural network architecture for machine learning in the domain of nuclear engineering.
Proceedings of the 12th IAPR International Conference on Pattern Recognition, 1994
Proceedings of the Automata, Languages and Programming, 21st International Colloquium, 1994
On a Learnability Question Associated to Neural Networks with Continuous Activations (Extended Abstract).
Proceedings of the Seventh Annual ACM Conference on Computational Learning Theory, 1994
Proceedings of the 12th National Conference on Artificial Intelligence, Seattle, WA, USA, July 31, 1994
1993
Proceedings of the Advanced Database Systems, 1993
Proceedings of the Sixth Annual ACM Conference on Computational Learning Theory, 1993
Proceedings of the Eigth Annual Structure in Complexity Theory Conference, 1993
1992
The Complexity of Language Recognition by Neural Networks.
Proceedings of the Algorithms, Software, Architecture, 1992
1991
Proceedings of the 17th International Conference on Very Large Data Bases, 1991
Proceedings of the 14th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. Chicago, 1991