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ORCIDGarrett E. Katz
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2020 – today
- 2024
[c18]Anna L. Packy, Jayesh Jayashankar, Arya Teymourlouei, Joshua Stone, Hyuk Oh, Garrett E. Katz, James A. Reggia, Rodolphe J. Gentili:
Neurocognitive assessment under various human-robot teaming environments. EMBC 2024: 1-4- [c17]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: 147-166 - [c16]Ruipeng Liu, Borui He, Naveed Tahir, Garrett E. Katz:
On the Feasibility of Single-Pass Full-Capacity Learning in Linear Threshold Neurons with Binary Input Vectors. ICML 2024 - [i5]Jiayu Ding, Xulin Chen, Garrett E. Katz, Zhenyu Gan:
Leveraging Symmetries in Gaits for Reinforcement Learning: A Case Study on Quadrupedal Gaits. CoRR abs/2403.10723 (2024) - [i4]Xulin Chen, Ruipeng Liu, Garrett E. Katz:
Explicit Lipschitz Value Estimation Enhances Policy Robustness Against Perturbation. CoRR abs/2404.13879 (2024) - [i3]Rui Zuo, Zifan Wang, Simon Khan, Garrett E. Katz, Qinru Qiu:
Why the Agent Made that Decision: Explaining Deep Reinforcement Learning with Vision Masks. CoRR abs/2411.16120 (2024) - 2023
- [j12]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): 1277-1295 (2023) - [c15]Borui He, Garrett E. Katz:
Will Poppy Fall? Predicting Robot Falls in Advance Based on Visual Input. ICMLA 2023: 226-232 - [c14]Naveed Tahir, Yang Liu, Tiexing Wang, Garrett E. Katz, Biao Chen:
An Unsupervised Approach to Motion Detection Using WiFi Signals. ICMLA 2023: 966-972 - 2022
- [j11]Gregory P. Davis, Garrett E. Katz, Rodolphe J. Gentili, James A. Reggia:
NeuroLISP: High-level symbolic programming with attractor neural networks. Neural Networks 146: 200-219 (2022) - [c13]Garrett E. Katz, Naveed Tahir:
Towards Automated Discovery of God-Like Folk Algorithms for Rubik's Cube. AAAI 2022: 10210-10218 - [c12]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: 225-241 - [c11]Alexandra A. Shaver, Neehar Peri, Remy Mezebish, George Matthew, Alyza Berson, Christopher Gaskins, Gregory P. Davis, Garrett E. Katz, Immanuel Babu Henry 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: 361-380 - [i2]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 abs/2211.06462 (2022) - 2021
- [j10]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: 744031 (2021) - [j9]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): 981-998 (2021) - [j8]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: 78-97 (2021) - [c10]Naveed Tahir, Garrett E. Katz:
Numerical Exploration of Training Loss Level-Sets in Deep Neural Networks. IJCNN 2021: 1-8 - [c9]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: 107-110 - 2020
- [j7]James A. Reggia, Garrett E. Katz, Gregory P. Davis:
Artificial Conscious Intelligence. J. Artif. Intell. Conscious. 7(1): 95-107 (2020) - [c8]Garrett E. Katz, Khushboo Gupta, James A. Reggia:
Reinforcement-based Program Induction in a Neural Virtual Machine. IJCNN 2020: 1-8 - [c7]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: 198-213 - [i1]Naveed Tahir, Garrett E. Katz:
Numerical Exploration of Training Loss Level-Sets in Deep Neural Networks. CoRR abs/2011.04189 (2020)
2010 – 2019
- 2019
- [j6]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: 10-30 (2019) - [c6]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: 1-8 - 2018
- [j5]James A. Reggia, Garrett E. Katz, Gregory P. Davis:
Humanoid Cognitive Robots That Learn by Imitating: Implications for Consciousness Studies. Frontiers Robotics AI 5: 1 (2018) - [j4]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): 177-193 (2018) - [j3]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): 3636-3646 (2018) - [c5]Baram Sosis, Garrett E. Katz, James A. Reggia:
Learning in a Continuous-Valued Attractor Network. ICMLA 2018: 278-284 - 2017
- [j2]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: 165-181 (2017) - 2016
- [c4]Garrett E. Katz, Di-Wei Huang, Rodolphe J. Gentili, James A. Reggia:
Imitation Learning as Cause-Effect Reasoning. AGI 2016: 64-73 - 2015
- [j1]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): 371-392 (2015) - [c3]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: 745-756 - [c2]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: 1-6 - 2014
- [c1]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: 2537-2540
Coauthor Index
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