Jeffrey Krichmar

Joined

July 2019

Names

Jeffrey Krichmar

Jeffrey L. Krichmar

Jeff Krichmar

Emails

****@uci.edu (Confirmed)

Personal Links

Career & Education History

Full Professor

Cognitive Sciences, University of California, Irvine (uci.edu)

2013 – 2025

PhD student

Computational Sciences and Informatics, George Mason University (gmu.edu)

1991 – 1997

Advisors, Relations & Conflicts

PhD Advisor

James Olds

1991 – 1997

Expertise

neurorobotics

1999 – 2023

Publications

Achieving efficient interpretability of reinforcement learning via policy distillation and selective input gradient regularization
Jinwei Xing, Takashi Nagata, Xinyun Zou, Emre Neftci, Jeffrey L. Krichmar
- Published: 01 Jan 2023, Last Modified: 16 May 2023
- Neural Networks 2023
- Readers: Everyone
Importance of Path Planning Variability: A Simulation Study
Jeffrey L. Krichmar, Chuanxiuyue He
- Published: 01 Jan 2023, Last Modified: 16 May 2023
- Top. Cogn. Sci. 2023
- Readers: Everyone
A Theoretical Framework for Inference Learning
Nicholas Alonso, Beren Millidge, Jeffrey Krichmar, Emre Neftci
- Published: 31 Oct 2022, Last Modified: 08 Feb 2026
- NeurIPS 2022 Accept
- Readers: Everyone
A Theoretical Framework for Inference Learning
Nick Alonso, Beren Millidge, Jeff Krichmar, Emre Neftci
- Published: 01 Jan 2022, Last Modified: 15 May 2023
- CoRR 2022
- Readers: Everyone
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 et al. (23 additional authors not shown)
- 2022 (modified: 18 Nov 2022)
- Nat. Mach. Intell. 2022
- Readers: Everyone
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
- 2022 (modified: 18 Nov 2022)
- IEEE Trans. Neural Networks Learn. Syst. 2022
- Readers: Everyone
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
- 2022 (modified: 11 Dec 2022)
- SAB 2022
- Readers: Everyone
CARLsim 6: An Open Source Library for Large-Scale, Biologically Detailed Spiking Neural Network Simulation
Lars Niedermeier, Kexin Chen, Jinwei Xing, Anup Das, Jeffrey Kopsick, Eric Scott, Nate Sutton, Killian Weber, Nikil D. Dutt, Jeffrey L. Krichmar
- 2022 (modified: 16 Apr 2023)
- IJCNN 2022
- Readers: Everyone
A Theoretical Framework for Inference Learning
Nick Alonso, Beren Millidge, Jeffrey L. Krichmar, Emre O. Neftci
- Published: 01 Jan 2022, Last Modified: 15 May 2023
- NeurIPS 2022
- Readers: Everyone
Endurance-Aware Mapping of Spiking Neural Networks to Neuromorphic Hardware
Twisha Titirsha, Shihao Song, Anup Das, Jeffrey L. Krichmar, Nikil D. Dutt, Nagarajan Kandasamy, Francky Catthoor
- Published: 01 Jan 2022, Last Modified: 16 May 2023
- IEEE Trans. Parallel Distributed Syst. 2022
- Readers: Everyone

View all 125 publications

Co-Authors

View all 196 co-authors