Nicholas Ketz

According to our database, Nicholas Ketz authored at least 17 papers between 2010 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

A domain-agnostic approach for characterization of lifelong learning systems.

Megan M. Baker, Alexander New, Mario Aguilar-Simon, Ziad Al-Halah, Sébastien M. R. Arnold, Eseoghene Ben-Iwhiwhu, Andrew P. Brna, Ethan Brooks, Ryan C. Brown, Zachary Daniels, Anurag Reddy Daram, Fabien Delattre, Ryan Dellana, Eric Eaton, Haotian Fu, Kristen Grauman, Jesse Hostetler, Shariq Iqbal, Cassandra Kent, Nicholas Ketz, Soheil Kolouri, George Konidaris, Dhireesha Kudithipudi, Erik G. Learned-Miller, Seungwon Lee, Michael Littman, Sandeep Madireddy, Jorge A. Mendez, Eric Q. Nguyen, Christine D. Piatko, Praveen K. Pilly, Aswin Raghavan, Abrar Rahman, Santhosh Kumar Ramakrishnan, Neale Ratzlaff, Andrea Soltoggio, Peter Stone, Indranil Sur, Zhipeng Tang, Saket Tiwari, Kyle Vedder, Felix Wang, Zifan Xu, Angel Yanguas-Gil, Harel Yedidsion, Shangqun Yu, Gautam K. Vallabha

Neural Networks, March, 2023

2022

Deep Reinforcement Learning With Modulated Hebbian Plus Q-Network Architecture.

Pawel Ladosz, Eseoghene Ben-Iwhiwhu, Jeffery Dick, Nicholas Ketz, Soheil Kolouri, Jeffrey L. Krichmar, Praveen K. Pilly, Andrea Soltoggio

IEEE Trans. Neural Networks Learn. Syst., 2022

Context meta-reinforcement learning via neuromodulation.

Eseoghene Ben-Iwhiwhu, Jeffery Dick, Nicholas A. Ketz, Praveen K. Pilly, Andrea Soltoggio

Neural Networks, 2022

Biological underpinnings for lifelong learning machines.

Dhireesha Kudithipudi, Mario Aguilar-Simon, Jonathan Babb, Maxim Bazhenov, Douglas Blackiston, Josh C. Bongard, Andrew P. Brna, Suraj Chakravarthi Raja, Nick Cheney, Jeff Clune, Anurag Reddy Daram, Stefano Fusi, Peter Helfer, Leslie Kay, Nicholas Ketz, Zsolt Kira, Soheil Kolouri, Jeffrey L. Krichmar, Sam Kriegman, Michael Levin, Sandeep Madireddy, Santosh Manicka, Ali Marjaninejad, Bruce McNaughton, Risto Miikkulainen, Zaneta Navratilova, Tej Pandit, Alice Parker, Praveen K. Pilly, Sebastian Risi, Terrence J. Sejnowski, Andrea Soltoggio, Nicholas Soures, Andreas S. Tolias, Darío Urbina-Meléndez, Francisco J. Valero Cuevas, Gido M. van de Ven, Joshua T. Vogelstein, Felix Wang, Ron Weiss, Angel Yanguas-Gil, Xinyun Zou, Hava T. Siegelmann

Nat. Mach. Intell., 2022

Concept-modulated model-based offline reinforcement learning for rapid generalization.

Nicholas A. Ketz, Praveen K. Pilly

CoRR, 2022

A-EMS: An Adaptive Emergency Management System for Autonomous Agents in Unforeseen Situations.

Glenn Maguire, Nicholas Ketz, Praveen K. Pilly, Jean-Baptiste Mouret

Proceedings of the Towards Autonomous Robotic Systems - 23rd Annual Conference, 2022

Adapting to Environment Changes Through Neuromodulation of Reinforcement Learning.

Jinwei Xing, Xinyun Zou, Praveen K. Pilly, Nicholas A. Ketz, Jeffrey L. Krichmar

Proceedings of the From Animals to Animats 16, 2022

Flexible Path Planning in a Spiking Model of Replay and Vicarious Trial and Error.

Jeffrey L. Krichmar, Nicholas A. Ketz, Praveen K. Pilly, Andrea Soltoggio

Proceedings of the From Animals to Animats 16, 2022

2021

An Online Data-Driven Emergency-Response Method for Autonomous Agents in Unforeseen Situations.

Glenn Maguire, Nicholas Ketz, Praveen K. Pilly, Jean-Baptiste Mouret

CoRR, 2021

2020

Sliced Cramer Synaptic Consolidation for Preserving Deeply Learned Representations.

Soheil Kolouri, Nicholas A. Ketz, Andrea Soltoggio, Praveen K. Pilly

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Deep Reinforcement Learning with Modulated Hebbian plus Q Network Architecture.

Pawel Ladosz, Eseoghene Ben-Iwhiwhu, Yang Hu, Nicholas Ketz, Soheil Kolouri, Jeffrey L. Krichmar, Praveen K. Pilly, Andrea Soltoggio

CoRR, 2019

Attention-Based Structural-Plasticity.

Soheil Kolouri, Nicholas Ketz, Xinyun Zou, Jeffrey L. Krichmar, Praveen K. Pilly

CoRR, 2019

Using World Models for Pseudo-Rehearsal in Continual Learning.

Nicholas Ketz, Soheil Kolouri, Praveen K. Pilly

CoRR, 2019

2014

Classification aided analysis of oscillatory signatures in controlled retrieval.

Nicholas Ketz, Randall C. O'Reilly, Tim Curran

NeuroImage, 2014

Complementary Learning Systems.

Randall C. O'Reilly, Rajan Bhattacharyya, Michael D. Howard, Nicholas Ketz

Cogn. Sci., 2014

2013

Theta Coordinated Error-Driven Learning in the Hippocampus.

Nicholas Ketz, Srinimisha G. Morkonda, Randall C. O'Reilly

PLoS Comput. Biol., 2013

2010

Identifying objects impairs knowledge of other objects: A relearning explanation for the neural repetition effect.

Chad J. Marsolek, Rebecca G. Deason, Nicholas A. Ketz, Pradeep Ramanathan, Edward M. Bernat, Vaughn R. Steele, Christopher J. Patrick, Mieke Verfaellie, David M. Schnyer

NeuroImage, 2010