Garrett E. Katz

According to our database, Garrett E. Katz authored at least 28 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Leveraging Symmetries in Gaits for Reinforcement Learning: A Case Study on Quadrupedal Gaits.

Jiayu Ding, Xulin Chen, Garrett E. Katz, Zhenyu Gan

CoRR, 2024

2023

NeuroCERIL: Robotic Imitation Learning via Hierarchical Cause-Effect Reasoning in Programmable Attractor Neural Networks.

Gregory P. Davis, Garrett E. Katz, Rodolphe J. Gentili, James A. Reggia

Int. J. Soc. Robotics, August, 2023

An Unsupervised Approach to Motion Detection Using WiFi Signals.

Naveed Tahir, Yang Liu, Tiexing Wang, Garrett E. Katz, Biao Chen

Proceedings of the International Conference on Machine Learning and Applications, 2023

Will Poppy Fall? Predicting Robot Falls in Advance Based on Visual Input.

Borui He, Garrett E. Katz

Proceedings of the International Conference on Machine Learning and Applications, 2023

2022

NeuroLISP: High-level symbolic programming with attractor neural networks.

Gregory P. Davis, Garrett E. Katz, Rodolphe J. Gentili, James A. Reggia

Neural Networks, 2022

Assessment of a Novel Virtual Environment for Examining Human Cognitive-Motor Performance During Execution of Action Sequences.

Alexandra A. Shaver, Neehar Peri, Remy Mezebish, George Matthew, Alyza Berson, Christopher Gaskins, Gregory P. Davis, Garrett E. Katz, Immanuel Samuel, Matthew J. Reinhard, Michelle E. Costanzo, James A. Reggia, James Purtilo, Rodolphe J. Gentili

Proceedings of the Augmented Cognition, 2022

Towards Human-Like Learning Dynamics in a Simulated Humanoid Robot for Improved Human-Machine Teaming.

Akshay, Xulin Chen, Borui He, Garrett E. Katz

Proceedings of the Augmented Cognition, 2022

Towards Automated Discovery of God-Like Folk Algorithms for Rubik's Cube.

Garrett E. Katz, Naveed Tahir

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Compositional memory in attractor neural networks with one-step learning.

Gregory P. Davis, Garrett E. Katz, Rodolphe J. Gentili, James A. Reggia

Neural Networks, 2021

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

Theresa Hauge, Garrett E. Katz, Gregory P. Davis, Di-Wei Huang, James A. Reggia, Rodolphe J. Gentili

Int. J. Soc. Robotics, 2021

Tunable Neural Encoding of a Symbolic Robotic Manipulation Algorithm.

Garrett E. Katz, Akshay, Gregory P. Davis, Rodolphe J. Gentili, James A. Reggia

Frontiers Neurorobotics, 2021

A Neurocomputational Model of Posttraumatic Stress Disorder.

Gregory P. Davis, Garrett E. Katz, Daniel Soranzo, Nathaniel Allen, Matthew J. Reinhard, Rodolphe J. Gentili, Michelle E. Costanzo, James A. Reggia

Proceedings of the 10th International IEEE/EMBS Conference on Neural Engineering, 2021

Numerical Exploration of Training Loss Level-Sets in Deep Neural Networks.

Naveed Tahir, Garrett E. Katz

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

Artificial Conscious Intelligence.

James A. Reggia, Garrett E. Katz, Gregory P. Davis

J. Artif. Intell. Conscious., 2020

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

Ammar S. Salman, Odai S. Salman, Garrett E. Katz

Proceedings of the Intelligent Computing, 2020

Reinforcement-based Program Induction in a Neural Virtual Machine.

Garrett E. Katz, Khushboo Gupta, James A. Reggia

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019

A programmable neural virtual machine based on a fast store-erase learning rule.

Garrett E. Katz, Gregory P. Davis, Rodolphe J. Gentili, James A. Reggia

Neural Networks, 2019

Encoding of a Chaotic Attractor in a Reservoir Computer: A Directional Fiber Investigation.

Sanjukta Krishnagopal, Garrett E. Katz, Michelle Girvan, James A. Reggia

Proceedings of the International Joint Conference on Neural Networks, 2019

2018

Using Directional Fibers to Locate Fixed Points of Recurrent Neural Networks.

Garrett E. Katz, James A. Reggia

IEEE Trans. Neural Networks Learn. Syst., 2018

A Novel Parsimonious Cause-Effect Reasoning Algorithm for Robot Imitation and Plan Recognition.

Garrett E. Katz, Di-Wei Huang, Theresa Hauge, Rodolphe J. Gentili, James A. Reggia

IEEE Trans. Cogn. Dev. Syst., 2018

Humanoid Cognitive Robots That Learn by Imitating: Implications for Consciousness Studies.

James A. Reggia, Garrett E. Katz, Gregory P. Davis

Frontiers Robotics AI, 2018

Learning in a Continuous-Valued Attractor Network.

Baram Sosis, Garrett E. Katz, James A. Reggia

Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

2017

A limit-cycle self-organizing map architecture for stable arm control.

Di-Wei Huang, Rodolphe J. Gentili, Garrett E. Katz, James A. Reggia

Neural Networks, 2017

2016

Imitation Learning as Cause-Effect Reasoning.

Garrett E. Katz, Di-Wei Huang, Rodolphe J. Gentili, James A. Reggia

Proceedings of the Artificial General Intelligence - 9th International Conference, 2016

2015

A Neural Architecture for Performing Actual and Mentally Simulated Movements During Self-Intended and Observed Bimanual Arm Reaching Movements.

Rodolphe J. Gentili, Hyuk Oh, Di-Wei Huang, Garrett E. Katz, Ross H. Miller, James A. Reggia

Int. J. Soc. Robotics, 2015

A virtual demonstrator environment for robot imitation learning.

Di-Wei Huang, Garrett E. Katz, Joshua D. Langsfeld, Rodolphe J. Gentili, James A. Reggia

Proceedings of the 2015 IEEE International Conference on Technologies for Practical Robot Applications, 2015

An Object-Centric Paradigm for Robot Programming by Demonstration.

Di-Wei Huang, Garrett E. Katz, Joshua D. Langsfeld, Hyuk Oh, Rodolphe J. Gentili, James A. Reggia

Proceedings of the Foundations of Augmented Cognition, 2015

2014

Towards a multi-level neural architecture that unifies self-intended and imitated arm reaching performance.

Rodolphe J. Gentili, Hyuk Oh, Di-Wei Huang, Garrett E. Katz, Ross H. Miller, James A. Reggia

Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014