Garrett E. Katz

39 papers A* 2B 3C 3Journal 19Unranked 11

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	A Voxel-Representation-Based Evolutionary Data Generator of Adversarial Objects for AI Agents. GECCO Companion Akshay, Garrett E. Katz, Chilukuri K. Mohan
2025	J	`jnl`	Linearithmic Clean-up for Vector-Symbolic Key-Value Memory with Kroneker Rotation Products. CoRR Ruipeng Liu, Qinru Qiu, Simon Khan, Garrett E. Katz
2025	J	`jnl`	Predictive Auxiliary Learning for Belief-based Multi-Agent Systems. CoRR Qinwei Huang, Stefan Wang, Simon Khan, Garrett E. Katz, Qinru Qiu
2024	—	`conf`	Assessment of a Novel Virtual Environment for Examining Cognitive-Motor Processes During Execution of Action Sequences in a Human-Robot Teaming Context. HCI (11) Jayesh Jayashankar, Anna L. Packy, Arya Teymourlouei, Alexandra A. Shaver, Garrett E. Katz, James A. Reggia, James Purtilo, Rodolphe J. Gentili
2024	J	`jnl`	Explicit Lipschitz Value Estimation Enhances Policy Robustness Against Perturbation. CoRR Xulin Chen, Ruipeng Liu, Garrett E. Katz
2024	J	`jnl`	Leveraging Symmetries in Gaits for Reinforcement Learning: A Case Study on Quadrupedal Gaits. CoRR Jiayu Ding, Xulin Chen, Garrett E. Katz, Zhenyu Gan
2024	—	`conf`	Neurocognitive assessment under various human-robot teaming environments. EMBC Anna L. Packy, Jayesh Jayashankar, Arya Teymourlouei, Joshua Stone, Hyuk Oh, Garrett E. Katz, James A. Reggia, Rodolphe J. Gentili
2024	A*	`conf`	On the Feasibility of Single-Pass Full-Capacity Learning in Linear Threshold Neurons with Binary Input Vectors. ICML Ruipeng Liu, Borui He, Naveed Tahir, Garrett E. Katz
2024	J	`jnl`	Why the Agent Made that Decision: Explaining Deep Reinforcement Learning with Vision Masks. CoRR Rui Zuo, Zifan Wang, Simon Khan, Garrett E. Katz, Qinru Qiu
2023	C	`conf`	An Unsupervised Approach to Motion Detection Using WiFi Signals. ICMLA Naveed Tahir, Yang Liu, Tiexing Wang, Garrett E. Katz, Biao Chen
2023	J	`jnl`	NeuroCERIL: Robotic Imitation Learning via Hierarchical Cause-Effect Reasoning in Programmable Attractor Neural Networks. Int. J. Soc. Robotics Gregory P. Davis, Garrett E. Katz, Rodolphe J. Gentili, James A. Reggia
2023	C	`conf`	Will Poppy Fall? Predicting Robot Falls in Advance Based on Visual Input. ICMLA Borui He, Garrett E. Katz
2022	—	`conf`	Assessment of a Novel Virtual Environment for Examining Human Cognitive-Motor Performance During Execution of Action Sequences. HCI (9) 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
2022	J	`jnl`	NeuroCERIL: Robotic Imitation Learning via Hierarchical Cause-Effect Reasoning in Programmable Attractor Neural Networks. CoRR Gregory P. Davis, Garrett E. Katz, Rodolphe J. Gentili, James A. Reggia
2022	J	`jnl`	NeuroLISP: High-level symbolic programming with attractor neural networks. Neural Networks Gregory P. Davis, Garrett E. Katz, Rodolphe J. Gentili, James A. Reggia
2022	A*	`conf`	Towards Automated Discovery of God-Like Folk Algorithms for Rubik's Cube. AAAI Garrett E. Katz, Naveed Tahir
2022	—	`conf`	Towards Human-Like Learning Dynamics in a Simulated Humanoid Robot for Improved Human-Machine Teaming. HCI (9) Akshay, Xulin Chen, Borui He, Garrett E. Katz
2021	—	`conf`	A Neurocomputational Model of Posttraumatic Stress Disorder. NER Gregory P. Davis, Garrett E. Katz, Daniel Soranzo, Nathaniel Allen, Matthew J. Reinhard, Rodolphe J. Gentili, Michelle E. Costanzo, James A. Reggia
2021	J	`jnl`	Compositional memory in attractor neural networks with one-step learning. Neural Networks Gregory P. Davis, Garrett E. Katz, Rodolphe J. Gentili, James A. Reggia
2021	J	`jnl`	High-Level Motor Planning Assessment During Performance of Complex Action Sequences in Humans and a Humanoid Robot. Int. J. Soc. Robotics Theresa Hauge, Garrett E. Katz, Gregory P. Davis, Di-Wei Huang, James A. Reggia, Rodolphe J. Gentili
2021	B	`conf`	Numerical Exploration of Training Loss Level-Sets in Deep Neural Networks. IJCNN Naveed Tahir, Garrett E. Katz
2021	J	`jnl`	Tunable Neural Encoding of a Symbolic Robotic Manipulation Algorithm. Frontiers Neurorobotics Garrett E. Katz, Akshay, Gregory P. Davis, Rodolphe J. Gentili, James A. Reggia
2020	J	`jnl`	Artificial Conscious Intelligence. J. Artif. Intell. Conscious. James A. Reggia, Garrett E. Katz, Gregory P. Davis
2020	—	`conf`	Extending CNN Classification Capabilities Using a Novel Feature to Image Transformation (FIT) Algorithm. SAI (2) Ammar S. Salman, Odai S. Salman, Garrett E. Katz
2020	J	`jnl`	Numerical Exploration of Training Loss Level-Sets in Deep Neural Networks. CoRR Naveed Tahir, Garrett E. Katz
2020	B	`conf`	Reinforcement-based Program Induction in a Neural Virtual Machine. IJCNN Garrett E. Katz, Khushboo Gupta, James A. Reggia
2019	J	`jnl`	A programmable neural virtual machine based on a fast store-erase learning rule. Neural Networks Garrett E. Katz, Gregory P. Davis, Rodolphe J. Gentili, James A. Reggia
2019	B	`conf`	Encoding of a Chaotic Attractor in a Reservoir Computer: A Directional Fiber Investigation. IJCNN Sanjukta Krishnagopal, Garrett E. Katz, Michelle Girvan, James A. Reggia
2018	J	`jnl`	A Novel Parsimonious Cause-Effect Reasoning Algorithm for Robot Imitation and Plan Recognition. IEEE Trans. Cogn. Dev. Syst. Garrett E. Katz, Di-Wei Huang, Theresa Hauge, Rodolphe J. Gentili, James A. Reggia
2018	J	`jnl`	Humanoid Cognitive Robots That Learn by Imitating: Implications for Consciousness Studies. Frontiers Robotics AI James A. Reggia, Garrett E. Katz, Gregory P. Davis
2018	C	`conf`	Learning in a Continuous-Valued Attractor Network. ICMLA Baram Sosis, Garrett E. Katz, James A. Reggia
2018	J	`jnl`	Using Directional Fibers to Locate Fixed Points of Recurrent Neural Networks. IEEE Trans. Neural Networks Learn. Syst. Garrett E. Katz, James A. Reggia
2017	—	`—`	A Cognitive Robotic Imitation Learning System Based On Cause-Effect Reasoning. Garrett E. Katz
2017	J	`jnl`	A limit-cycle self-organizing map architecture for stable arm control. Neural Networks Di-Wei Huang, Rodolphe J. Gentili, Garrett E. Katz, James A. Reggia
2016	—	`conf`	Imitation Learning as Cause-Effect Reasoning. AGI Garrett E. Katz, Di-Wei Huang, Rodolphe J. Gentili, James A. Reggia
2015	J	`jnl`	A Neural Architecture for Performing Actual and Mentally Simulated Movements During Self-Intended and Observed Bimanual Arm Reaching Movements. Int. J. Soc. Robotics Rodolphe J. Gentili, Hyuk Oh, Di-Wei Huang, Garrett E. Katz, Ross H. Miller, James A. Reggia
2015	—	`conf`	A virtual demonstrator environment for robot imitation learning. TePRA Di-Wei Huang, Garrett E. Katz, Joshua D. Langsfeld, Rodolphe J. Gentili, James A. Reggia
2015	—	`conf`	An Object-Centric Paradigm for Robot Programming by Demonstration. HCI (15) Di-Wei Huang, Garrett E. Katz, Joshua D. Langsfeld, Hyuk Oh, Rodolphe J. Gentili, James A. Reggia
2014	—	`conf`	Towards a multi-level neural architecture that unifies self-intended and imitated arm reaching performance. EMBC Rodolphe J. Gentili, Hyuk Oh, Di-Wei Huang, Garrett E. Katz, Ross H. Miller, James A. Reggia