Todd M. Gureckis

94 papers B 73Misc 1Journal 18Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	B	`conf`	A Neurosymbolic Model of Human Reasoning on the Abstraction and Reasoning Corpus. CogSci Solim LeGris, Brenden M. Lake, Todd M. Gureckis
2025	J	`jnl`	Do different prompting methods yield a common task representation in language models? CoRR Guy Davidson, Todd M. Gureckis, Brenden M. Lake, Adina Williams
2025	B	`conf`	Estimating Intuitive Physical Parameters using Markov Chain Monte Carlo with People. CogSci Pat Intara, Todd M. Gureckis
2025	B	`conf`	Goal Inference using Reward-Producing Programs in a Novel Physics Environment. CogSci Guy Davidson, Graham Todd, Cédric Colas, Junyi Chu, Julian Togelius, Joshua B. Tenenbaum, Todd M. Gureckis, Brenden M. Lake
2025	J	`jnl`	Goals as reward-producing programs. Nat. Mac. Intell. Guy Davidson, Graham Todd, Julian Togelius, Todd M. Gureckis, Brenden M. Lake
2025	B	`conf`	How does social learning affect trapped learners? CogSci Rheza Budiono, Catherine Hartley, Todd M. Gureckis
2025	B	`conf`	Integration of Language and Experience via the Instructed Bandit Task. CogSci Ellen Su, Mark K. Ho, Todd M. Gureckis
2025	J	`jnl`	Opinion: Learning Intuitive Physics May Require More than Visual Data. CoRR Ellen Su, Solim LeGris, Todd M. Gureckis, Mengye Ren
2024	B	`conf`	A nonparametric model of object discovery. CogSci Pat Little, Todd M. Gureckis
2024	J	`jnl`	Goals as Reward-Producing Programs. CoRR Guy Davidson, Graham Todd, Julian Togelius, Todd M. Gureckis, Brenden M. Lake
2024	J	`jnl`	H-ARC: A Robust Estimate of Human Performance on the Abstraction and Reasoning Corpus Benchmark. CoRR Solim LeGris, Wai Keen Vong, Brenden M. Lake, Todd M. Gureckis
2024	B	`conf`	How does social learning affect stable false beliefs? CogSci Rheza Budiono, Catherine Hartley, Todd M. Gureckis
2024	J	`jnl`	How does the primate brain combine generative and discriminative computations in vision? CoRR Benjamin Peters, James J. DiCarlo, Todd M. Gureckis, Ralf Haefner, Leyla Isik, Joshua B. Tenenbaum, Talia Konkle, Thomas Naselaris, Kimberly L. Stachenfeld, Zenna Tavares, Doris Tsao, Ilker Yildirim, Nikolaus Kriegeskorte
2024	B	`conf`	Investigating Flexible Role Binding in AI Agents. CogSci Brian Pennisi, Todd M. Gureckis, Rheza Budiono, Mark K. Ho
2024	B	`conf`	Moment-to-moment decisions of when and how to help another person. CogSci Pamela Osborn Popp, Todd M. Gureckis
2024	B	`conf`	Predicting Insight during Physical Reasoning. CogSci Solim LeGris, Brenden M. Lake, Todd M. Gureckis
2024	B	`conf`	Reuse and Remixing in Question Asking Across Development. CogSci Emily Liquin, Marjorie Rhodes, Todd M. Gureckis
2023	B	`conf`	Teaching and Learning Through Pedagogical Environment Design. CogSci Emily Liquin, Nicole Luzuriaga, Todd M. Gureckis
2022	B	`conf`	Creativity, Compositionality, and Common Sense in Human Goal Generation. CogSci Guy Davidson, Todd M. Gureckis, Brenden M. Lake
2022	B	`conf`	Name that state: How language affects human reinforcement learning. CogSci Angela Radulescu, Wai Keen Vong, Todd M. Gureckis
2022	B	`conf`	Rule discovery performance unchanged by incentives. CogSci Pamela Osborn Popp, Ben R. Newell, Daniel M. Bartels, Todd M. Gureckis
2022	B	`conf`	Where Questions Come From: Reusing Old Questions in New Situations. CogSci Emily Liquin, Todd M. Gureckis
2021	B	`conf`	Can losses help attenuate learning traps? CogSci Amy X. Li, Todd M. Gureckis, Brett K. Hayes
2021	B	`conf`	Fast and Flexible: Human program induction in abstract reasoning tasks. CogSci Aysja Johnson, Wai Keen Vong, Brenden M. Lake, Todd M. Gureckis
2021	J	`jnl`	Fast and flexible: Human program induction in abstract reasoning tasks. CoRR Aysja Johnson, Wai Keen Vong, Brenden M. Lake, Todd M. Gureckis
2021	B	`conf`	Information sampling for contingency planning. CogSci Ili Ma, Wei Ji Ma, Todd M. Gureckis
2020	B	`conf`	A Generalization Test of Conjunction Errors in Physical Reasoning. CogSci Ethan Ludwin-Peery, Neil Bramley, Ernest Davis, Todd M. Gureckis
2020	B	`conf`	Ask or Tell: Balancing questions and instructions in intuitive teaching. CogSci Pamela Osborn Popp, Todd M. Gureckis
2020	J	`jnl`	Causal Information-Seeking Strategies Change Across Childhood and Adolescence. Cogn. Sci. Kate Nussenbaum, Alexandra Cohen, Zachary Davis, David Halpern, Todd M. Gureckis, Catherine Hartley
2020	B	`conf`	Dynamic Control Under Changing Goals. CogSci Zachary Davis, Neil Bramley, Bob Rehder, Todd M. Gureckis
2020	B	`conf`	Extending the Rogers and McClelland Model of Semantic Cognition (2003) to work with Raw Pixel Information. CogSci Arihant Jain, Brenden M. Lake, Todd M. Gureckis
2020	B	`conf`	Pictorial Depth Cues in Young Children's Drawings of Layouts and Objects. CogSci Théo Morfoisse, Todd M. Gureckis, Moira R. Dillon
2019	B	`conf`	Active physical inference via reinforcement learning. CogSci Shuaiji Li, Yu Sun, Sijia Liu, Tianyu Wang, Todd M. Gureckis, Neil Bramley
2019	B	`conf`	Asking goal-oriented questions and learning from answers. CogSci Anselm Rothe, Brenden M. Lake, Todd M. Gureckis
2019	B	`conf`	Causal intervention strategies change across adolescence. CogSci Kate Nussenbaum, Alexandra Cohen, Zachary Davis, David Halpern, Todd M. Gureckis, Catherine Hartley
2019	B	`conf`	Evidence of error-driven cross-situational word learning. CogSci Chris Grimmick, Todd M. Gureckis, George Kachergis
2019	B	`conf`	Exploring informal science interventions to promote children's understanding of natural categories. CogSci George Kachergis, Todd M. Gureckis, Marjorie Rhodes
2019	J	`jnl`	Lessons for artificial intelligence from the study of natural stupidity. Nat. Mach. Intell. Alexander S. Rich, Todd M. Gureckis
2019	B	`conf`	Limits on the Use of Simulation in Physical Reasoning. CogSci Ethan Ludwin-Peery, Neil Bramley, Ernest Davis, Todd M. Gureckis
2019	B	`conf`	Modeling Intuitive Teaching as Sequential Decision Making Under Uncertainty. CogSci Pamela Osborn Popp, Todd M. Gureckis
2019	B	`conf`	The critical moment is coming: Modeling the dynamics of suspense. CogSci Zhiwei Li, Neil Bramley, Todd M. Gureckis
2018	B	`conf`	A Causal Model Approach to Dynamic Control. CogSci Zachary Davis, Neil Bramley, Bob Rehder, Todd M. Gureckis
2018	B	`conf`	A neurocognitive model for predicting the fate of individual memories. CogSci Shannon Tubridy, David Halpern, Lila Davachi, Todd M. Gureckis
2018	B	`conf`	Contemporary Cognitive Approaches to Decision-Making. CogSci Daniel M. Bartels, Oleg Urminsky, Todd M. Gureckis, Jennifer Trueblood
2018	B	`conf`	Grounding Compositional Hypothesis Generation in Specific Instances. CogSci Neil Bramley, Anselm Rothe, Josh Tenenbaum, Fei Xu, Todd M. Gureckis
2018	B	`conf`	Knowledge Tracing Using the Brain. EDM David Halpern, Shannon Tubridy, Hong Yu Wang, Camille Gasser, Pamela Osborn Popp, Lila Davachi, Todd M. Gureckis
2018	—	`conf`	Modeling Second-Language Learning from a Psychological Perspective. BEA@NAACL-HLT Alexander Rich, Pamela Osborn Popp, David Halpern, Anselm Rothe, Todd M. Gureckis
2018	B	`conf`	Modeling dynamics of suspense and surprise. CogSci Zhiwei Li, Neil Bramley, Todd M. Gureckis
2017	B	`conf`	Beliefs about sparsity affect causal experimentation. CogSci Anna Coenen, Neil Bramley, Azzurra Ruggeri, Todd M. Gureckis
2017	B	`conf`	Categorization, Information Selection and Stimulus Uncertainty. CogSci David Halpern, Todd M. Gureckis
2017	B	`conf`	Does a present bias influence exploratory choice? CogSci Alexander S. Rich, Todd M. Gureckis
2017	B	`conf`	How does of initial inaccuracy benefit cross-situational word learning? CogSci Chris Grimmick, George Kachergis, Todd M. Gureckis
2017	B	`conf`	Progress in building a machine that can ask interesting and informative questions. CogSci Anselm Rothe, Brenden M. Lake, Todd M. Gureckis
2017	—	`conf`	Question Asking as Program Generation. NIPS Anselm Rothe, Brenden M. Lake, Todd M. Gureckis
2017	J	`jnl`	Question Asking as Program Generation. CoRR Anselm Rothe, Brenden M. Lake, Todd M. Gureckis
2016	B	`conf`	Active control of study leads to improved episodic memory in children. CogSci Azzurra Ruggeri, Douglas B. Markant, Todd M. Gureckis, Fei Xu
2016	B	`conf`	Asking and evaluating natural language questions. CogSci Anselm Rothe, Brenden M. Lake, Todd M. Gureckis
2016	B	`conf`	Desirable difficulties in the development of active inquiry skills. CogSci George Kachergis, Marjorie Rhodes, Todd M. Gureckis
2016	B	`conf`	Predictable stimulus onsets improve memory. CogSci George Kachergis, Shannon Tubridy, Todd M. Gureckis
2016	J	`jnl`	Self-Directed Learning Favors Local, Rather Than Global, Uncertainty. Cogn. Sci. Douglas Markant, Burr Settles, Todd M. Gureckis
2016	B	`conf`	The distorting effect of deciding to stop sampling. CogSci Anna Coenen, Todd M. Gureckis
2015	B	`conf`	Are Biases When Making Causal Interventions Related to Biases in Belief Updating? CogSci Anna Coenen, Todd M. Gureckis
2015	B	`conf`	Asking useful questions: Active learning with rich queries. CogSci Anselm Rothe, Brenden M. Lake, Todd M. Gureckis
2015	B	`conf`	Deep Neural Networks Predict Category Typicality Ratings for Images. CogSci Brenden M. Lake, Wojciech Zaremba, Rob Fergus, Todd M. Gureckis
2015	B	`conf`	Optimal stopping in a natural sampling task. CogSci Anna Coenen, Todd M. Gureckis
2015	B	`conf`	The Attentional Learning Trap and How to Avoid It. CogSci Alexander Rich, Todd M. Gureckis
2015	B	`conf`	Understanding developmental bottlenecks in active inquiry. CogSci George Kachergis, Marjorie Rhodes, Todd M. Gureckis
2014	B	`conf`	A preference for the unpredictable over the informative during self-directed learning. CogSci Douglas Markant, Todd M. Gureckis
2014	B	`conf`	Adaptive teaching: Improving the efficiency of learning through hypothesis-dependent selection of training data. CogSci Patricia Angie Chan, Douglas Markant, Brenden M. Lake, Todd M. Gureckis
2014	B	`conf`	Decisions to intervene on causal systems are adaptively selected. CogSci Anna Coenen, Bob Rehder, Todd M. Gureckis
2014	B	`conf`	Online Experiments using jsPsych, psiTurk, and Amazon Mechanical Turk. CogSci Josh de Leeuw, Anna Coenen, Douglas Markant, Jay B. Martin, John V. McDonnell, Alexander Rich, Todd M. Gureckis
2014	B	`conf`	The value of approaching bad things. CogSci Alexander Rich, Todd M. Gureckis
2013	B	`conf`	Changes in information search strategy under "dense" hypothesis spaces. CogSci Douglas Markant, Todd M. Gureckis
2013	J	`jnl`	Does category labeling lead to forgetting? Cogn. Process. Nathaniel Blanco, Todd M. Gureckis
2013	B	`conf`	How does this thing work? Evaluating computational models of intervention-based causal learning. CogSci Anna Coenen, Bob Rehder, Todd M. Gureckis
2013	B	`conf`	Informavores: Active information foraging and human cognition. CogSci Douglas Markant, Todd M. Gureckis, Björn Meder, Jonathan D. Nelson, Peter Pirolli, Chen Yu
2012	B	`conf`	Does the utility of information influence sampling behavior? CogSci Douglas Markant, Todd M. Gureckis
2012	B	`conf`	One piece at a time: Learning complex rules through self-directed sampling. CogSci Douglas Markant, Todd M. Gureckis
2012	B	`conf`	One-shot lotteries in the park. CogSci Mordechai Juni, Todd M. Gureckis, Laurence T. Maloney
2012	B	`conf`	Self-directed information selection aids learning of logical rules. CogSci John V. McDonnell, Devin Domingo, Todd M. Gureckis
2012	B	`conf`	Sparse category labels obstruct generalization of category membership. CogSci John V. McDonnell, Carol A. Jew, Todd M. Gureckis
2012	B	`conf`	The role of exploratory decision-making in enhancing episodic memory. CogSci Douglas Markant, Sarah Dubrow, Lila Davachi, Todd M. Gureckis
2011	B	`conf`	Does Category Labeling Lead to Forgetting? CogSci Nathaniel Blanco, Todd M. Gureckis
2011	B	`conf`	Don't Stop 'Til You Get Enough: Adaptive Information Sampling in a Visuomotor Estimation Task. CogSci Mordechai Juni, Todd M. Gureckis, Laurence T. Maloney
2011	B	`conf`	Grow your own representations: Computational constructivism. CogSci Joseph L. Austerweil, Thomas L. Griffiths, Todd M. Gureckis, Robert L. Goldstone, Kevin Robert Canini, Matt Jones
2011	B	`conf`	Learning categories from an intermittent teacher. CogSci John V. McDonnell, Todd M. Gureckis
2011	B	`conf`	Modeling information sampling over the course of learning. CogSci Douglas Markant, Todd M. Gureckis
2011	J	`jnl`	Re-evaluating Dissociations between Implicit and Explicit Category Learning: An Event-related fMRI Study. J. Cogn. Neurosci. Todd M. Gureckis, Thomas W. James, Robert M. Nosofsky
2010	J	`jnl`	Direct Associations or Internal Transformations? Exploring the Mechanisms Underlying Sequential Learning Behavior. Cogn. Sci. Todd M. Gureckis, Bradley C. Love
2009	J	`jnl`	Collective Behavior. Top. Cogn. Sci. Robert L. Goldstone, Todd M. Gureckis
2009	J	`jnl`	How You Named Your Child: Understanding the Relationship Between Individual Decision Making and Collective Outcomes. Top. Cogn. Sci. Todd M. Gureckis, Robert L. Goldstone
2003	J	`jnl`	Human Unsupervised and Supervised Learning as a Quantitative Distinction. Int. J. Pattern Recognit. Artif. Intell. Todd M. Gureckis, Bradley C. Love
2003	J	`jnl`	Towards a unified account of supervised and unsupervised category learning. J. Exp. Theor. Artif. Intell. Todd M. Gureckis, Bradley C. Love
2002	Misc	`conf`	Modeling Unsupervised Learning with SUSTAIN. FLAIRS Todd M. Gureckis, Bradley C. Love