Todd M. Gureckis

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 46

Top Topics

Amazon Mechanical Turk

Bucket Elimination

Episodic Memory

Top Venues

Nat. Mach. Intell.

Publications

Guy Davidson, Graham Todd, Julian Togelius, Todd M. Gureckis, Brenden M. Lake
Goals as Reward-Producing Programs. CoRR (2024)
Benjamin Peters, James J. DiCarlo, Todd M. Gureckis, Ralf Haefner, Leyla Isik, Joshua B. Tenenbaum, Talia Konkle, Thomas Naselaris, Kimberly Stachenfeld, Zenna Tavares, Doris Tsao, Ilker Yildirim, Nikolaus Kriegeskorte
How does the primate brain combine generative and discriminative computations in vision? CoRR (2024)
Emily Liquin, Nicole Luzuriaga, Todd M. Gureckis
Teaching and Learning Through Pedagogical Environment Design. CogSci (2023)
Emily Liquin, Todd M. Gureckis
Where Questions Come From: Reusing Old Questions in New Situations. CogSci (2022)
Angela Radulescu, Wai Keen Vong, Todd M. Gureckis
Name that state: How language affects human reinforcement learning. CogSci (2022)
Guy Davidson, Todd M. Gureckis, Brenden M. Lake
Creativity, Compositionality, and Common Sense in Human Goal Generation. CogSci (2022)
Pamela Osborn Popp, Ben R. Newell, Daniel M. Bartels, Todd M. Gureckis
Rule discovery performance unchanged by incentives. CogSci (2022)
Aysja Johnson, Wai Keen Vong, Brenden M. Lake, Todd M. Gureckis
Fast and flexible: Human program induction in abstract reasoning tasks. CoRR (2021)
Ili Ma, Wei Ji Ma, Todd M. Gureckis
Information sampling for contingency planning. CogSci (2021)
Aysja Johnson, Wai Keen Vong, Brenden M. Lake, Todd M. Gureckis
Fast and Flexible: Human program induction in abstract reasoning tasks. CogSci (2021)
Amy X. Li, Todd M. Gureckis, Brett K. Hayes
Can losses help attenuate learning traps? CogSci (2021)
Ethan Ludwin-Peery, Neil Bramley, Ernest Davis, Todd M. Gureckis
A Generalization Test of Conjunction Errors in Physical Reasoning. CogSci (2020)
Kate Nussenbaum, Alexandra Cohen, Zachary Davis, David Halpern, Todd M. Gureckis, Catherine Hartley
Causal Information-Seeking Strategies Change Across Childhood and Adolescence. Cogn. Sci. 44 (9) (2020)
Arihant Jain, Brenden M. Lake, Todd M. Gureckis
Extending the Rogers and McClelland Model of Semantic Cognition (2003) to work with Raw Pixel Information. CogSci (2020)
Zachary Davis, Neil Bramley, Bob Rehder, Todd M. Gureckis
Dynamic Control Under Changing Goals. CogSci (2020)
Pamela Osborn Popp, Todd M. Gureckis
Ask or Tell: Balancing questions and instructions in intuitive teaching. CogSci (2020)
Théo Morfoisse, Todd M. Gureckis, Moira Dillon
Pictorial Depth Cues in Young Children's Drawings of Layouts and Objects. CogSci (2020)
Kate Nussenbaum, Alexandra Cohen, Zachary Davis, David Halpern, Todd M. Gureckis, Catherine Hartley
Causal intervention strategies change across adolescence. CogSci (2019)
Anselm Rothe, Brenden M. Lake, Todd M. Gureckis
Asking goal-oriented questions and learning from answers. CogSci (2019)
Chris Grimmick, Todd M. Gureckis, George Kachergis
Evidence of error-driven cross-situational word learning. CogSci (2019)
Ethan Ludwin-Peery, Neil Bramley, Ernest Davis, Todd M. Gureckis
Limits on the Use of Simulation in Physical Reasoning. CogSci (2019)
Shuaiji Li, Yu Sun, Sijia Liu, Tianyu Wang, Todd M. Gureckis, Neil Bramley
Active physical inference via reinforcement learning. CogSci (2019)
George Kachergis, Todd M. Gureckis, Marjorie Rhodes
Exploring informal science interventions to promote children's understanding of natural categories. CogSci (2019)
Zhiwei Li, Neil Bramley, Todd M. Gureckis
The critical moment is coming: Modeling the dynamics of suspense. CogSci (2019)
Alexander S. Rich, Todd M. Gureckis
Lessons for artificial intelligence from the study of natural stupidity. Nat. Mach. Intell. 1 (4) (2019)
Pamela Osborn Popp, Todd M. Gureckis
Modeling Intuitive Teaching as Sequential Decision Making Under Uncertainty. CogSci (2019)
Daniel M. Bartels, Oleg Urminsky, Todd M. Gureckis, Jennifer Trueblood
Contemporary Cognitive Approaches to Decision-Making. CogSci (2018)
David Halpern, Shannon Tubridy, Hong Yu Wang, Camille Gasser, Pamela Osborn Popp, Lila Davachi, Todd M. Gureckis
Knowledge Tracing Using the Brain. EDM (2018)
Zachary Davis, Neil Bramley, Bob Rehder, Todd M. Gureckis
A Causal Model Approach to Dynamic Control. CogSci (2018)
Zhiwei Li, Neil Bramley, Todd M. Gureckis
Modeling dynamics of suspense and surprise. CogSci (2018)
Shannon Tubridy, David Halpern, Lila Davachi, Todd M. Gureckis
A neurocognitive model for predicting the fate of individual memories. CogSci (2018)
Alexander Rich, Pamela Osborn Popp, David Halpern, Anselm Rothe, Todd M. Gureckis
Modeling Second-Language Learning from a Psychological Perspective. BEA@NAACL-HLT (2018)
Neil Bramley, Anselm Rothe, Josh Tenenbaum, Fei Xu, Todd M. Gureckis
Grounding Compositional Hypothesis Generation in Specific Instances. CogSci (2018)
Alexander S. Rich, Todd M. Gureckis
Does a present bias influence exploratory choice? CogSci (2017)
Anselm Rothe, Brenden M. Lake, Todd M. Gureckis
Progress in building a machine that can ask interesting and informative questions. CogSci (2017)
David Halpern, Todd M. Gureckis
Categorization, Information Selection and Stimulus Uncertainty. CogSci (2017)
Anna Coenen, Neil Bramley, Azzurra Ruggeri, Todd M. Gureckis
Beliefs about sparsity affect causal experimentation. CogSci (2017)
Anselm Rothe, Brenden M. Lake, Todd M. Gureckis
Question Asking as Program Generation. CoRR (2017)
Anselm Rothe, Brenden M. Lake, Todd M. Gureckis
Question Asking as Program Generation. NIPS (2017)
Chris Grimmick, George Kachergis, Todd M. Gureckis
How does of initial inaccuracy benefit cross-situational word learning? CogSci (2017)
George Kachergis, Shannon Tubridy, Todd M. Gureckis
Predictable stimulus onsets improve memory. CogSci (2016)
Anna Coenen, Todd M. Gureckis
The distorting effect of deciding to stop sampling. CogSci (2016)
George Kachergis, Marjorie Rhodes, Todd M. Gureckis
Desirable difficulties in the development of active inquiry skills. CogSci (2016)
Anselm Rothe, Brenden M. Lake, Todd M. Gureckis
Asking and evaluating natural language questions. CogSci (2016)
Douglas Markant, Burr Settles, Todd M. Gureckis
Self-Directed Learning Favors Local, Rather Than Global, Uncertainty. Cogn. Sci. 40 (1) (2016)
Azzurra Ruggeri, Douglas B. Markant, Todd M. Gureckis, Fei Xu
Active control of study leads to improved episodic memory in children. CogSci (2016)
Anna Coenen, Todd M. Gureckis
Are Biases When Making Causal Interventions Related to Biases in Belief Updating? CogSci (2015)
Alexander Rich, Todd M. Gureckis
The Attentional Learning Trap and How to Avoid It. CogSci (2015)
George Kachergis, Marjorie Rhodes, Todd M. Gureckis
Understanding developmental bottlenecks in active inquiry. CogSci (2015)
Anselm Rothe, Brenden M. Lake, Todd M. Gureckis
Asking useful questions: Active learning with rich queries. CogSci (2015)
Brenden M. Lake, Wojciech Zaremba, Rob Fergus, Todd M. Gureckis
Deep Neural Networks Predict Category Typicality Ratings for Images. CogSci (2015)
Anna Coenen, Todd M. Gureckis
Optimal stopping in a natural sampling task. CogSci (2015)
Alexander Rich, Todd M. Gureckis
The value of approaching bad things. CogSci (2014)
Josh de Leeuw, Anna Coenen, Douglas Markant, Jay B. Martin, John V. McDonnell, Alexander Rich, Todd M. Gureckis
Online Experiments using jsPsych, psiTurk, and Amazon Mechanical Turk. CogSci (2014)
Patricia Angie Chan, Douglas Markant, Brenden M. Lake, Todd M. Gureckis
Adaptive teaching: Improving the efficiency of learning through hypothesis-dependent selection of training data. CogSci (2014)
Douglas Markant, Todd M. Gureckis
A preference for the unpredictable over the informative during self-directed learning. CogSci (2014)
Anna Coenen, Bob Rehder, Todd M. Gureckis
Decisions to intervene on causal systems are adaptively selected. CogSci (2014)
Douglas Markant, Todd M. Gureckis, Björn Meder, Jonathan D. Nelson, Peter Pirolli, Chen Yu
Informavores: Active information foraging and human cognition. CogSci (2013)
Anna Coenen, Bob Rehder, Todd M. Gureckis
How does this thing work? Evaluating computational models of intervention-based causal learning. CogSci (2013)
Douglas Markant, Todd M. Gureckis
Changes in information search strategy under "dense" hypothesis spaces. CogSci (2013)
Nathaniel Blanco, Todd M. Gureckis
Does category labeling lead to forgetting? Cogn. Process. 14 (1) (2013)
Douglas Markant, Todd M. Gureckis
Does the utility of information influence sampling behavior? CogSci (2012)
Mordechai Juni, Todd M. Gureckis, Laurence T. Maloney
One-shot lotteries in the park. CogSci (2012)
Douglas Markant, Todd M. Gureckis
One piece at a time: Learning complex rules through self-directed sampling. CogSci (2012)
John V. McDonnell, Devin Domingo, Todd M. Gureckis
Self-directed information selection aids learning of logical rules. CogSci (2012)
John V. McDonnell, Carol A. Jew, Todd M. Gureckis
Sparse category labels obstruct generalization of category membership. CogSci (2012)
Douglas Markant, Sarah Dubrow, Lila Davachi, Todd M. Gureckis
The role of exploratory decision-making in enhancing episodic memory. CogSci (2012)
Mordechai Juni, Todd M. Gureckis, Laurence T. Maloney
Don't Stop 'Til You Get Enough: Adaptive Information Sampling in a Visuomotor Estimation Task. CogSci (2011)
Nathaniel Blanco, Todd M. Gureckis
Does Category Labeling Lead to Forgetting? CogSci (2011)
Todd M. Gureckis, Thomas W. James, Robert M. Nosofsky
Re-evaluating Dissociations between Implicit and Explicit Category Learning: An Event-related fMRI Study. J. Cogn. Neurosci. 23 (7) (2011)
Douglas Markant, Todd M. Gureckis
Modeling information sampling over the course of learning. CogSci (2011)
John V. McDonnell, Todd M. Gureckis
Learning categories from an intermittent teacher. CogSci (2011)
Joseph L. Austerweil, Thomas L. Griffiths, Todd M. Gureckis, Robert L. Goldstone, Kevin Robert Canini, Matt Jones
Grow your own representations: Computational constructivism. CogSci (2011)
Todd M. Gureckis, Bradley C. Love
Direct Associations or Internal Transformations? Exploring the Mechanisms Underlying Sequential Learning Behavior. Cogn. Sci. 34 (1) (2010)
Todd M. Gureckis, Robert L. Goldstone
How You Named Your Child: Understanding the Relationship Between Individual Decision Making and Collective Outcomes. Top. Cogn. Sci. 1 (4) (2009)
Robert L. Goldstone, Todd M. Gureckis
Collective Behavior. Top. Cogn. Sci. 1 (3) (2009)
Todd M. Gureckis, Bradley C. Love
Human Unsupervised and Supervised Learning as a Quantitative Distinction. Int. J. Pattern Recognit. Artif. Intell. 17 (5) (2003)
Todd M. Gureckis, Bradley C. Love
Towards a unified account of supervised and unsupervised category learning. J. Exp. Theor. Artif. Intell. 15 (1) (2003)
Todd M. Gureckis, Bradley C. Love
Modeling Unsupervised Learning with SUSTAIN. FLAIRS Conference (2002)