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ORCIDNicholas Ketz
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2020 – today
- 2023
[j8]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:
A domain-agnostic approach for characterization of lifelong learning systems. Neural Networks 160: 274-296 (2023)- [i7]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 Dimitri 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:
A Domain-Agnostic Approach for Characterization of Lifelong Learning Systems. CoRR abs/2301.07799 (2023) - 2022
- [j7]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:
Biological underpinnings for lifelong learning machines. Nat. Mach. Intell. 4(3): 196-210 (2022) - [j6]Eseoghene Ben-Iwhiwhu, Jeffery Dick, Nicholas A. Ketz, Praveen K. Pilly, Andrea Soltoggio:
Context meta-reinforcement learning via neuromodulation. Neural Networks 152: 70-79 (2022) - [j5]Pawel Ladosz, Eseoghene Ben-Iwhiwhu, Jeffery Dick, Nicholas Ketz, Soheil Kolouri, Jeffrey L. Krichmar, Praveen K. Pilly, Andrea Soltoggio:
Deep Reinforcement Learning With Modulated Hebbian Plus Q-Network Architecture. IEEE Trans. Neural Networks Learn. Syst. 33(5): 2045-2056 (2022) - [c4]Jinwei Xing, Xinyun Zou, Praveen K. Pilly, Nicholas A. Ketz, Jeffrey L. Krichmar:
Adapting to Environment Changes Through Neuromodulation of Reinforcement Learning. SAB 2022: 115-126 - [c3]Jeffrey L. Krichmar, Nicholas A. Ketz, Praveen K. Pilly, Andrea Soltoggio:
Flexible Path Planning in a Spiking Model of Replay and Vicarious Trial and Error. SAB 2022: 177-189 - [c2]Glenn Maguire, Nicholas Ketz, Praveen K. Pilly, Jean-Baptiste Mouret:
A-EMS: An Adaptive Emergency Management System for Autonomous Agents in Unforeseen Situations. TAROS 2022: 266-281 - [i6]Nicholas A. Ketz, Praveen K. Pilly:
Concept-modulated model-based offline reinforcement learning for rapid generalization. CoRR abs/2209.03207 (2022) - 2021
- [i5]Eseoghene Ben-Iwhiwhu, Jeffery Dick, Nicholas A. Ketz, Praveen K. Pilly, Andrea Soltoggio:
Context Meta-Reinforcement Learning via Neuromodulation. CoRR abs/2111.00134 (2021) - [i4]Glenn Maguire, Nicholas Ketz, Praveen K. Pilly, Jean-Baptiste Mouret:
An Online Data-Driven Emergency-Response Method for Autonomous Agents in Unforeseen Situations. CoRR abs/2112.09670 (2021) - 2020
- [c1]Soheil Kolouri, Nicholas A. Ketz, Andrea Soltoggio, Praveen K. Pilly:
Sliced Cramer Synaptic Consolidation for Preserving Deeply Learned Representations. ICLR 2020
2010 – 2019
- 2019
- [i3]Nicholas Ketz, Soheil Kolouri, Praveen K. Pilly:
Using World Models for Pseudo-Rehearsal in Continual Learning. CoRR abs/1903.02647 (2019) - [i2]Soheil Kolouri, Nicholas Ketz, Xinyun Zou, Jeffrey L. Krichmar, Praveen K. Pilly:
Attention-Based Structural-Plasticity. CoRR abs/1903.06070 (2019) - [i1]Pawel Ladosz, Eseoghene Ben-Iwhiwhu, Yang Hu, Nicholas Ketz, Soheil Kolouri, Jeffrey L. Krichmar, Praveen K. Pilly, Andrea Soltoggio:
Deep Reinforcement Learning with Modulated Hebbian plus Q Network Architecture. CoRR abs/1909.09902 (2019) - 2014
- [j4]Randall C. O'Reilly, Rajan Bhattacharyya, Michael D. Howard, Nicholas Ketz:
Complementary Learning Systems. Cogn. Sci. 38(6): 1229-1248 (2014) - [j3]Nicholas Ketz, Randall C. O'Reilly, Tim Curran:
Classification aided analysis of oscillatory signatures in controlled retrieval. NeuroImage 85: 749-760 (2014) - 2013
- [j2]Nicholas Ketz, Srinimisha G. Morkonda, Randall C. O'Reilly:
Theta Coordinated Error-Driven Learning in the Hippocampus. PLoS Comput. Biol. 9(6) (2013) - 2010
- [j1]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:
Identifying objects impairs knowledge of other objects: A relearning explanation for the neural repetition effect. NeuroImage 49(2): 1919-1932 (2010)
Coauthor Index
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