Garrett Katz

Syracuse University, Department of Electrical Engineering & Computer Science

Source: Scopus
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1 Finished
1 Active

A Neurocognitive Approach to Robotic Cause-Effect Reasoning During Learning
Katz, G.
Office of Naval Research, University of Maryland, College Park
1/1/19 → 12/31/21
Project: Research project
Machine Learning with Baked-In Knowledge for Forecasting Large Complex Spatiotemporal Neurocomputational Systems with Application to Weather Forecasting
Katz, G.
Defense Advanced Research Projects Agency, University of Maryland, College Park
9/24/18 → 6/24/19
Project: Research project

108 Citations
7 h-Index
16 Article
12 Conference contribution

Compositional memory in attractor neural networks with one-step learning
Davis, G. P., Katz, G. E., Gentili, R. J. & Reggia, J. A., Jun 2021, In: Neural Networks. 138, p. 78-97 20 p.
Research output: Contribution to journal › Article › peer-review
A novel application of levenshtein distance for assessment of high-level motor planning underlying performance during learning of complex motor sequences
Hauge, T. C., Katz, G. E., Davis, G. P., Jaquess, K. J., Reinhard, M. J., Costanzo, M. E., Reggia, J. A. & Gentili, R. J., Apr 2020, In: Journal of Motor Learning and Development. 8, 1, p. 67-86 20 p.
Research output: Contribution to journal › Article › peer-review
1 Scopus citations
Extending CNN Classification Capabilities Using a Novel Feature to Image Transformation (FIT) Algorithm
Salman, A. S., Salman, O. S. & Katz, G. E., 2020, Intelligent Computing - Proceedings of the 2020 Computing Conference. Arai, K., Kapoor, S. & Bhatia, R. (eds.). Springer, p. 198-213 16 p. (Advances in Intelligent Systems and Computing; vol. 1229 AISC).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
1 Scopus citations
High-Level Motor Planning Assessment During Performance of Complex Action Sequences in Humans and a Humanoid Robot
Hauge, T. C., Katz, G. E., Davis, G. P., Huang, D. W., Reggia, J. A. & Gentili, R. J., 2020, (Accepted/In press) In: International Journal of Social Robotics.
Research output: Contribution to journal › Article › peer-review
1 Scopus citations
Reinforcement-based Program Induction in a Neural Virtual Machine
Katz, G. E., Gupta, K. & Reggia, J. A., Jul 2020, 2020 International Joint Conference on Neural Networks, IJCNN 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 9207671. (Proceedings of the International Joint Conference on Neural Networks).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

A Neurocognitive Approach to Robotic Cause-Effect Reasoning During Learning

Machine Learning with Baked-In Knowledge for Forecasting Large Complex Spatiotemporal Neurocomputational Systems with Application to Weather Forecasting

Compositional memory in attractor neural networks with one-step learning

A novel application of levenshtein distance for assessment of high-level motor planning underlying performance during learning of complex motor sequences

Extending CNN Classification Capabilities Using a Novel Feature to Image Transformation (FIT) Algorithm

High-Level Motor Planning Assessment During Performance of Complex Action Sequences in Humans and a Humanoid Robot

Reinforcement-based Program Induction in a Neural Virtual Machine