Efficiently Implementing Episodic Memory. - Nate Derbinsky; John E. Laird (ICCBR, 2009)

Long-Term Declarative Memory for Generally Intelligent Agents. - Nate Derbinsky (AAAI, 2011)

A Functional Analysis of Historical Memory Retrieval Bias in the Word Sense Disambiguation Task. - Nate Derbinsky; John E. Laird (AAAI, 2011)

Effective and Efficient Management of Soar's Working Memory via Base-Level Activation. - Nate Derbinsky; John E. Laird (AAAI Fall Symposium: Advances in Cognitive Systems, 2011)

A Case Study in Integrating Probabilistic Decision Making and Learning in a Symbolic Cognitive Architecture: Soar Plays Dice. - John Edwin Laird; Nate Derbinsky; Miller Tinkerhess (AAAI Fall Symposium: Advances in Cognitive Systems, 2011)

Cognitive Architecture in Mobile Music Interactions. - Nate Derbinsky; Georg Essl (NIME, 2011)

A Multi-Domain Evaluation of Scaling in a General Episodic Memory. - Nate Derbinsky; Justin Li; John E. Laird (AAAI, 2012)

Functional Interactions Between Memory and Recognition Judgments. - Justin Li; Nate Derbinsky; John E. Laird (AAAI, 2012)

Algorithms for scaling in a general episodic memory. - Nate Derbinsky; Justin Li; John E. Laird (AAMAS, 2012)

Exploring Reinforcement Learning for Mobile Percussive Collaboration. - Nate Derbinsky; Georg Essl (NIME, 2012)

Effective and Efficient Memory for Generally Intelligent Agents. - Nate Derbinsky (2012)

Methods for Integrating Knowledge with the Three-Weight Optimization Algorithm for Hybrid Cognitive Processing. - Nate Derbinsky; José Bento 001; Jonathan S. Yedidia (AAAI Fall Symposia, 2013)

A message-passing algorithm for multi-agent trajectory planning. - José Bento 001; Nate Derbinsky; Javier Alonso-Mora; Jonathan S. Yedidia (NIPS, 2013)

Effective and efficient forgetting of learned knowledge in Soar's working and procedural memories. - Nate Derbinsky; John E. Laird (Cogn. Syst. Res., 2013)

An Improved Three-Weight Message-Passing Algorithm - Nate Derbinsky; José Bento 001; Veit Elser; Jonathan S. Yedidia (CoRR, 2013)

Proximal Operators for Multi-Agent Path Planning. - José Bento 001; Nate Derbinsky; Charles Mathy; Jonathan S. Yedidia (AAAI, 2015)

The Boundary Forest Algorithm for Online Supervised and Unsupervised Learning. - Charles Mathy; Nate Derbinsky; José Bento 001; Jonathan Rosenthal; Jonathan S. Yedidia (AAAI, 2015)

A Comparison of Supervised Learning Algorithms for Telerobotic Control Using Electromyography Signals. - Tyler M. Frasca; Antonio G. Sestito; Craig Versek; Douglas E. Dow; Barry C. Husowitz; Nate Derbinsky (AAAI, 2016)

Model AI Assignments 2016. - Todd W. Neller; Laura E. Brown; James B. Marshall; Lisa Torrey; Nate Derbinsky; Andrew A. Ward; Thomas E. Allen; Judy Goldsmith; Nahom Muluneh (AAAI, 2016)

Testing Fine-Grained Parallelism for the ADMM on a Factor-Graph. - Ning Hao; AmirReza Oghbaee; Mohammad Rostami; Nate Derbinsky; José Bento 001 (IPDPS Workshops, 2016)

Cornhole: A Widely-Accessible AI Robotics Task. - Nate Derbinsky; Tyler M. Frasca (AAAI, 2017)

Reinforcement Learning for Modeling Large-Scale Cognitive Reasoning. - Ying Zhao 006; Emily Mooren; Nate Derbinsky (KEOD, 2017)

Sustainable Methods for Impactful Service Learning in Computer Science (Abstract Only). - Nate Derbinsky; Durga Suresh (SIGCSE, 2017)

Model AI Assignments 2018. - Todd W. Neller; Zack Butler 001; Nate Derbinsky; Heidi Furey; Fred Martin; Michael Guerzhoy; Ariel Anders; Joshua Eckroth (AAAI, 2018)

Model AI Assignments 2019. - Todd W. Neller; Raja Sooriamurthi; Michael Guerzhoy; Lisa Zhang; Paul G. Talaga; Christopher Archibald; Adam Summerville; Joseph C. Osborn; Cinjon Resnick; Avital Oliver; Surya Bhupatiraju; Kumar Krishna Agrawal; et al. (AAAI, 2019)

Simulating a logistics enterprise using an asymmetrical wargame simulation with soar reinforcement learning and coevolutionary algorithms. - Ying Zhao 006; Erik Hemberg; Nate Derbinsky; Gabino Mata; Una-May O'Reilly (GECCO Companion, 2021)

Using domain knowledge in coevolution and reinforcement learning to simulate a logistics enterprise. - Ying Zhao 006; Erik Hemberg; Nate Derbinsky; Gabino Mata; Una-May O'Reilly (GECCO Companion, 2022)

Interviewing the Teaching Faculty Hiring Process. - Geoffrey Challen; Victoria Dean; Nate Derbinsky; Matt X. Wang; Jacqueline Smith (SIGCSE (2), 2024)

Addressing Challenges in Teaching-Track Faculty Promotion. - Christine Alvarado; Nate Derbinsky; Sarah Heckman; Manuel A. Pérez-Quiñones; Harini Ramaprasad; Mark Sherriff (SIGCSE (2), 2025)