Nate Derbinsky

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John LairdEmeritus Professor of Computer Science and Engineering, University of MichiganVerified email at umich.edu
Jonathan YedidiaSenior Director of AI Research, Analog DevicesVerified email at analog.com
José BentoBoston CollegeVerified email at bc.edu
Veit ElserProfessor of Physics, Cornell UniversityVerified email at cornell.edu
Justin LiOccidental CollegeVerified email at oxy.edu
Georg EsslUniversity of Wisconsin - MilwaukeeVerified email at uwm.edu
Javier Alonso-MoraAssociate Professor, Delft University of TechnologyVerified email at tudelft.nl
Jonathan RosenthalPurdue UniversityVerified email at purdue.edu
Erik HembergResearch Scientist, MIT CSAILVerified email at csail.mit.edu
Amirreza OghbaeePhD, Northeastern UniversityVerified email at ece.neu.edu
Mohammad RostamiUniversity of Southern CaliforniaVerified email at seas.upenn.edu
Una-May O'ReillyMIT, CSAIL, Any Scale Learning for All (ALFA) GroupVerified email at csail.mit.edu
Tyler FrascaTufts UniversityVerified email at tufts.edu
Marion NeumannWashington University in St. LouisVerified email at wustl.edu
Michael GuerzhoyUniversity of TorontoVerified email at princeton.edu
Surya BhupatirajuDeepMindVerified email at google.com
Adam James SummervilleCalifornia State Polytechnic University, PomonaVerified email at cpp.edu
Joseph C. OsbornPomona CollegeVerified email at pomona.edu
Cinjon ResnickPhD Student, NYUVerified email at nyu.edu
Christopher ArchibaldAssistant Professor of Computer Science, Brigham Young UniversityVerified email at cs.byu.edu

Nate Derbinsky

Northeastern University

Verified email at northeastern.edu - Homepage

Artificial Intelligence Cognitive Systems Machine Learning Optimization Computer Science Education


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
The Soar Cognitive Architecture JE Laird MIT Press, 2012	1381	2012
A message-passing algorithm for multi-agent trajectory planning J Bento, N Derbinsky, J Alonso-Mora, JS Yedidia Advances in neural information processing systems 26, 521-529, 2013	72*	2013
An Improved Three-Weight Message-Passing Algorithm N Derbinsky, J Bento, V Elser, JS Yedidia arXiv preprint arXiv:1305.1961, 2013	57*	2013
The Soar User’s Manual JE Laird, CB Congdon, KJ Coulter, N Derbinsky, J Xu Computer Science and Engineering Department. University of Michigan., 2011	49*	2011
Efficiently Implementing Episodic Memory N Derbinsky, JE Laird ICCBR, 2009	41	2009
Towards efficiently supporting large symbolic declarative memories N Derbinsky, JE Laird, B Smith Proc. of the 10th Intl. Conf. on Cognitive Modeling 1001, 49-54, 2010	40	2010
The Boundary Forest Algorithm for Online Supervised and Unsupervised Learning C Mathy, N Derbinsky, J Bento, J Rosenthal, J Yedidia Proc. of the 29th AAAI Conference on Artificial Intelligence, 2015	39	2015
Effective and efficient forgetting of learned knowledge in Soar’s working and procedural memories N Derbinsky, JE Laird Cognitive Systems Research 24, 104-113, 2013	35*	2013
Performance Evaluation of Declarative Memory Systems in Soar JE Laird, N Derbinsky, J Voigt Proc. of the 20th Behavior Representation in Modeling and Simulation …, 2011	35	2011
Extending Soar with dissociated symbolic memories N Derbinsky, JE Laird Symposium on Human Memory for Artificial Agents, AISB, 31-37, 2010	25	2010
Cognitive Architecture in Mobile Music Interactions N Derbinsky, G Essl Proc. of the 11th International Conference on New Interfaces for Musical …, 2011	22*	2011
Online Determination of Value-Function Structure and Action-value Estimates for Reinforcement Learning in a Cognitive Architecture JE Laird, N Derbinsky, M Tinkerhess Advances in Cognitive Systems 2, 221-238, 2012	18*	2012
A year of episodic memory JE Laird, N Derbinsky Proc. of the Workshop on Grand Challenges for Reasoning from Experiences …, 2009	18	2009
A Functional Analysis of Historical Memory Retrieval Bias in the Word Sense Disambiguation Task N Derbinsky, JE Laird Proc. of the 25th AAAI Conference on Artificial Intelligence 1001, 663-668, 2011	17*	2011
A multi-domain evaluation of scaling in a general episodic memory N Derbinsky, J Li, J Laird Proceedings of the AAAI Conference on Artificial Intelligence 26 (1), 193-199, 2012	16	2012
Testing fine-grained parallelism for the ADMM on a factor-graph N Hao, AR Oghbaee, M Rostami, N Derbinsky, J Bento Proc. of the 2016 IEEE International Parallel and Distributed Processing …, 2016	15	2016
Continual and Real-time Learning for Modeling Combat Identification in a Tactical Environment Y Zhao, N Derbinsky, LY Wong, J Sonnenshein, T Kendall NIPS 2018 Workshop on Continual Learning, 2018	14*	2018
Functional Interactions between Memory and Recognition Judgments J Li, N Derbinsky, J Laird Proc. of the 26th AAAI Conference on Artificial Intelligence, 2012	10	2012
Using domain knowledge in coevolution and reinforcement learning to simulate a logistics enterprise Y Zhao, E Hemberg, N Derbinsky, G Mata, UM O'Reilly Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2022	7*	2022
Effective and efficient memory for generally intelligent agents NL Derbinsky University of Michigan, 2012	6	2012

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