Garrett E. Katz

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 28

Top Topics

Action Sequences

Imitation Learning

Top Venues

Neural Networks

Int. J. Soc. Robotics

Publications

Jayesh Jayashankar, Anna L. Packy, Arya Teymourlouei, Alexandra A. Shaver, Garrett E. Katz, James A. Reggia, James Purtilo, Rodolphe J. Gentili
Assessment of a Novel Virtual Environment for Examining Cognitive-Motor Processes During Execution of Action Sequences in a Human-Robot Teaming Context. HCI (11) (2024)
Jiayu Ding, Xulin Chen, Garrett E. Katz, Zhenyu Gan
Leveraging Symmetries in Gaits for Reinforcement Learning: A Case Study on Quadrupedal Gaits. CoRR (2024)
Xulin Chen, Ruipeng Liu, Garrett E. Katz
Explicit Lipschitz Value Estimation Enhances Policy Robustness Against Perturbation. CoRR (2024)
Gregory P. Davis, Garrett E. Katz, Rodolphe J. Gentili, James A. Reggia
NeuroCERIL: Robotic Imitation Learning via Hierarchical Cause-Effect Reasoning in Programmable Attractor Neural Networks. Int. J. Soc. Robotics 15 (8) (2023)
Borui He, Garrett E. Katz
Will Poppy Fall? Predicting Robot Falls in Advance Based on Visual Input. ICMLA (2023)
Naveed Tahir, Yang Liu, Tiexing Wang, Garrett E. Katz, Biao Chen
An Unsupervised Approach to Motion Detection Using WiFi Signals. ICMLA (2023)
Garrett E. Katz, Naveed Tahir
Towards Automated Discovery of God-Like Folk Algorithms for Rubik's Cube. AAAI (2022)
Gregory P. Davis, Garrett E. Katz, Rodolphe J. Gentili, James A. Reggia
NeuroCERIL: Robotic Imitation Learning via Hierarchical Cause-Effect Reasoning in Programmable Attractor Neural Networks. CoRR (2022)
Gregory P. Davis, Garrett E. Katz, Rodolphe J. Gentili, James A. Reggia
NeuroLISP: High-level symbolic programming with attractor neural networks. Neural Networks 146 (2022)
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
Assessment of a Novel Virtual Environment for Examining Human Cognitive-Motor Performance During Execution of Action Sequences. HCI (9) (2022)
Akshay, Xulin Chen, Borui He, Garrett E. Katz
Towards Human-Like Learning Dynamics in a Simulated Humanoid Robot for Improved Human-Machine Teaming. HCI (9) (2022)
Gregory P. Davis, Garrett E. Katz, Daniel Soranzo, Nathaniel Allen, Matthew J. Reinhard, Rodolphe J. Gentili, Michelle E. Costanzo, James A. Reggia
A Neurocomputational Model of Posttraumatic Stress Disorder. NER (2021)
Naveed Tahir, Garrett E. Katz
Numerical Exploration of Training Loss Level-Sets in Deep Neural Networks. IJCNN (2021)
Theresa Hauge, Garrett E. Katz, Gregory P. Davis, Di-Wei Huang, James A. Reggia, Rodolphe J. Gentili
High-Level Motor Planning Assessment During Performance of Complex Action Sequences in Humans and a Humanoid Robot. Int. J. Soc. Robotics 13 (5) (2021)
Gregory P. Davis, Garrett E. Katz, Rodolphe J. Gentili, James A. Reggia
Compositional memory in attractor neural networks with one-step learning. Neural Networks 138 (2021)
Garrett E. Katz, Akshay, Gregory P. Davis, Rodolphe J. Gentili, James A. Reggia
Tunable Neural Encoding of a Symbolic Robotic Manipulation Algorithm. Frontiers Neurorobotics 15 (2021)
Garrett E. Katz, Khushboo Gupta, James A. Reggia
Reinforcement-based Program Induction in a Neural Virtual Machine. IJCNN (2020)
James A. Reggia, Garrett E. Katz, Gregory P. Davis
Artificial Conscious Intelligence. J. Artif. Intell. Conscious. 7 (1) (2020)
Ammar S. Salman, Odai S. Salman, Garrett E. Katz
Extending CNN Classification Capabilities Using a Novel Feature to Image Transformation (FIT) Algorithm. SAI (2) (2020)
Naveed Tahir, Garrett E. Katz
Numerical Exploration of Training Loss Level-Sets in Deep Neural Networks. CoRR (2020)
Sanjukta Krishnagopal, Garrett E. Katz, Michelle Girvan, James A. Reggia
Encoding of a Chaotic Attractor in a Reservoir Computer: A Directional Fiber Investigation. IJCNN (2019)
Garrett E. Katz, Gregory P. Davis, Rodolphe J. Gentili, James A. Reggia
A programmable neural virtual machine based on a fast store-erase learning rule. Neural Networks 119 (2019)
James A. Reggia, Garrett E. Katz, Gregory P. Davis
Humanoid Cognitive Robots That Learn by Imitating: Implications for Consciousness Studies. Frontiers Robotics AI 5 (2018)
Garrett E. Katz, James A. Reggia
Using Directional Fibers to Locate Fixed Points of Recurrent Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 29 (8) (2018)
Baram Sosis, Garrett E. Katz, James A. Reggia
Learning in a Continuous-Valued Attractor Network. ICMLA (2018)
Garrett E. Katz, Di-Wei Huang, Theresa Hauge, Rodolphe J. Gentili, James A. Reggia
A Novel Parsimonious Cause-Effect Reasoning Algorithm for Robot Imitation and Plan Recognition. IEEE Trans. Cogn. Dev. Syst. 10 (2) (2018)
Di-Wei Huang, Rodolphe J. Gentili, Garrett E. Katz, James A. Reggia
A limit-cycle self-organizing map architecture for stable arm control. Neural Networks 85 (2017)
Garrett E. Katz, Di-Wei Huang, Rodolphe J. Gentili, James A. Reggia
Imitation Learning as Cause-Effect Reasoning. AGI (2016)
Di-Wei Huang, Garrett E. Katz, Joshua D. Langsfeld, Rodolphe J. Gentili, James A. Reggia
A virtual demonstrator environment for robot imitation learning. TePRA (2015)
Rodolphe J. Gentili, Hyuk Oh, Di-Wei Huang, Garrett E. Katz, Ross H. Miller, James A. Reggia
A Neural Architecture for Performing Actual and Mentally Simulated Movements During Self-Intended and Observed Bimanual Arm Reaching Movements. Int. J. Soc. Robotics 7 (3) (2015)
Di-Wei Huang, Garrett E. Katz, Joshua D. Langsfeld, Hyuk Oh, Rodolphe J. Gentili, James A. Reggia
An Object-Centric Paradigm for Robot Programming by Demonstration. HCI (15) (2015)
Rodolphe J. Gentili, Hyuk Oh, Di-Wei Huang, Garrett E. Katz, Ross H. Miller, James A. Reggia
Towards a multi-level neural architecture that unifies self-intended and imitated arm reaching performance. EMBC (2014)