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ORCIDTodd M. Gureckis
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2020 – today
- 2024
[i5]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:
How does the primate brain combine generative and discriminative computations in vision? CoRR abs/2401.06005 (2024)- [i4]Guy Davidson, Graham Todd, Julian Togelius, Todd M. Gureckis, Brenden M. Lake:
Goals as Reward-Producing Programs. CoRR abs/2405.13242 (2024) - [i3]Solim LeGris, Wai Keen Vong, Brenden M. Lake, Todd M. Gureckis:
H-ARC: A Robust Estimate of Human Performance on the Abstraction and Reasoning Corpus Benchmark. CoRR abs/2409.01374 (2024) - 2023
- [c65]Emily Liquin, Nicole Luzuriaga, Todd M. Gureckis:
Teaching and Learning Through Pedagogical Environment Design. CogSci 2023 - 2022
- [c64]Guy Davidson, Todd M. Gureckis, Brenden M. Lake:
Creativity, Compositionality, and Common Sense in Human Goal Generation. CogSci 2022 - [c63]Emily Liquin, Todd M. Gureckis:
Where Questions Come From: Reusing Old Questions in New Situations. CogSci 2022 - [c62]Pamela Osborn Popp, Ben R. Newell, Daniel M. Bartels, Todd M. Gureckis:
Rule discovery performance unchanged by incentives. CogSci 2022 - [c61]Angela Radulescu, Wai Keen Vong, Todd M. Gureckis:
Name that state: How language affects human reinforcement learning. CogSci 2022 - 2021
- [c60]Aysja Johnson, Wai Keen Vong, Brenden M. Lake, Todd M. Gureckis:
Fast and Flexible: Human program induction in abstract reasoning tasks. CogSci 2021 - [c59]Amy X. Li, Todd M. Gureckis, Brett K. Hayes:
Can losses help attenuate learning traps? CogSci 2021 - [c58]Ili Ma, Wei Ji Ma, Todd M. Gureckis:
Information sampling for contingency planning. CogSci 2021 - [i2]Aysja Johnson, Wai Keen Vong, Brenden M. Lake, Todd M. Gureckis:
Fast and flexible: Human program induction in abstract reasoning tasks. CoRR abs/2103.05823 (2021) - 2020
- [j10]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) - [c57]Zachary Davis, Neil Bramley, Bob Rehder, Todd M. Gureckis:
Dynamic Control Under Changing Goals. CogSci 2020 - [c56]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 - [c55]Ethan Ludwin-Peery, Neil Bramley, Ernest Davis, Todd M. Gureckis:
A Generalization Test of Conjunction Errors in Physical Reasoning. CogSci 2020 - [c54]Théo Morfoisse, Todd M. Gureckis, Moira R. Dillon:
Pictorial Depth Cues in Young Children's Drawings of Layouts and Objects. CogSci 2020 - [c53]Pamela Osborn Popp, Todd M. Gureckis:
Ask or Tell: Balancing questions and instructions in intuitive teaching. CogSci 2020
2010 – 2019
- 2019
- [j9]Alexander S. Rich, Todd M. Gureckis:
Lessons for artificial intelligence from the study of natural stupidity. Nat. Mach. Intell. 1(4): 174-180 (2019) - [c52]Chris Grimmick, Todd M. Gureckis, George Kachergis:
Evidence of error-driven cross-situational word learning. CogSci 2019: 373-379 - [c51]Ethan Ludwin-Peery, Neil Bramley, Ernest Davis, Todd M. Gureckis:
Limits on the Use of Simulation in Physical Reasoning. CogSci 2019: 707-713 - [c50]Anselm Rothe, Brenden M. Lake, Todd M. Gureckis:
Asking goal-oriented questions and learning from answers. CogSci 2019: 981-986 - [c49]George Kachergis, Todd M. Gureckis, Marjorie Rhodes:
Exploring informal science interventions to promote children's understanding of natural categories. CogSci 2019: 1978-1983 - [c48]Shuaiji Li, Yu Sun, Sijia Liu, Tianyu Wang, Todd M. Gureckis, Neil Bramley:
Active physical inference via reinforcement learning. CogSci 2019: 2126-2132 - [c47]Zhiwei Li, Neil Bramley, Todd M. Gureckis:
The critical moment is coming: Modeling the dynamics of suspense. CogSci 2019: 2133-2139 - [c46]Kate Nussenbaum, Alexandra Cohen, Zachary Davis, David Halpern, Todd M. Gureckis, Catherine Hartley:
Causal intervention strategies change across adolescence. CogSci 2019: 2481-2487 - [c45]Pamela Osborn Popp, Todd M. Gureckis:
Modeling Intuitive Teaching as Sequential Decision Making Under Uncertainty. CogSci 2019: 3542 - 2018
- [c44]Alexander Rich, Pamela Osborn Popp, David Halpern, Anselm Rothe, Todd M. Gureckis:
Modeling Second-Language Learning from a Psychological Perspective. BEA@NAACL-HLT 2018: 223-230 - [c43]Daniel M. Bartels, Oleg Urminsky, Todd M. Gureckis, Jennifer Trueblood:
Contemporary Cognitive Approaches to Decision-Making. CogSci 2018 - [c42]Neil Bramley, Anselm Rothe, Josh Tenenbaum, Fei Xu, Todd M. Gureckis:
Grounding Compositional Hypothesis Generation in Specific Instances. CogSci 2018 - [c41]Zachary Davis, Neil Bramley, Bob Rehder, Todd M. Gureckis:
A Causal Model Approach to Dynamic Control. CogSci 2018 - [c40]Zhiwei Li, Neil Bramley, Todd M. Gureckis:
Modeling dynamics of suspense and surprise. CogSci 2018 - [c39]Shannon Tubridy, David Halpern, Lila Davachi, Todd M. Gureckis:
A neurocognitive model for predicting the fate of individual memories. CogSci 2018 - [c38]David Halpern, Shannon Tubridy, Hong Yu Wang, Camille Gasser, Pamela Osborn Popp, Lila Davachi, Todd M. Gureckis:
Knowledge Tracing Using the Brain. EDM 2018 - 2017
- [c37]Anna Coenen, Neil Bramley, Azzurra Ruggeri, Todd M. Gureckis:
Beliefs about sparsity affect causal experimentation. CogSci 2017 - [c36]Chris Grimmick, George Kachergis, Todd M. Gureckis:
How does of initial inaccuracy benefit cross-situational word learning? CogSci 2017 - [c35]David Halpern, Todd M. Gureckis:
Categorization, Information Selection and Stimulus Uncertainty. CogSci 2017 - [c34]Alexander S. Rich, Todd M. Gureckis:
Does a present bias influence exploratory choice? CogSci 2017 - [c33]Anselm Rothe, Brenden M. Lake, Todd M. Gureckis:
Progress in building a machine that can ask interesting and informative questions. CogSci 2017 - [c32]Anselm Rothe, Brenden M. Lake, Todd M. Gureckis:
Question Asking as Program Generation. NIPS 2017: 1046-1055 - [i1]Anselm Rothe, Brenden M. Lake, Todd M. Gureckis:
Question Asking as Program Generation. CoRR abs/1711.06351 (2017) - 2016
- [j8]Douglas Markant, Burr Settles, Todd M. Gureckis:
Self-Directed Learning Favors Local, Rather Than Global, Uncertainty. Cogn. Sci. 40(1): 100-120 (2016) - [c31]Anna Coenen, Todd M. Gureckis:
The distorting effect of deciding to stop sampling. CogSci 2016 - [c30]George Kachergis, Marjorie Rhodes, Todd M. Gureckis:
Desirable difficulties in the development of active inquiry skills. CogSci 2016 - [c29]George Kachergis, Shannon Tubridy, Todd M. Gureckis:
Predictable stimulus onsets improve memory. CogSci 2016 - [c28]Anselm Rothe, Brenden M. Lake, Todd M. Gureckis:
Asking and evaluating natural language questions. CogSci 2016 - [c27]Azzurra Ruggeri, Douglas B. Markant, Todd M. Gureckis, Fei Xu:
Active control of study leads to improved episodic memory in children. CogSci 2016 - 2015
- [c26]Anna Coenen, Todd M. Gureckis:
Are Biases When Making Causal Interventions Related to Biases in Belief Updating? CogSci 2015 - [c25]Anna Coenen, Todd M. Gureckis:
Optimal stopping in a natural sampling task. CogSci 2015 - [c24]George Kachergis, Marjorie Rhodes, Todd M. Gureckis:
Understanding developmental bottlenecks in active inquiry. CogSci 2015 - [c23]Brenden M. Lake, Wojciech Zaremba, Rob Fergus, Todd M. Gureckis:
Deep Neural Networks Predict Category Typicality Ratings for Images. CogSci 2015 - [c22]Alexander Rich, Todd M. Gureckis:
The Attentional Learning Trap and How to Avoid It. CogSci 2015 - [c21]Anselm Rothe, Brenden M. Lake, Todd M. Gureckis:
Asking useful questions: Active learning with rich queries. CogSci 2015 - 2014
- [c20]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 - [c19]Anna Coenen, Bob Rehder, Todd M. Gureckis:
Decisions to intervene on causal systems are adaptively selected. CogSci 2014 - [c18]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 - [c17]Douglas Markant, Todd M. Gureckis:
A preference for the unpredictable over the informative during self-directed learning. CogSci 2014 - [c16]Alexander Rich, Todd M. Gureckis:
The value of approaching bad things. CogSci 2014 - 2013
- [j7]Nathaniel Blanco, Todd M. Gureckis:
Does category labeling lead to forgetting? Cogn. Process. 14(1): 73-79 (2013) - [c15]Anna Coenen, Bob Rehder, Todd M. Gureckis:
How does this thing work? Evaluating computational models of intervention-based causal learning. CogSci 2013 - [c14]Douglas Markant, Todd M. Gureckis:
Changes in information search strategy under "dense" hypothesis spaces. CogSci 2013 - [c13]Douglas Markant, Todd M. Gureckis, Björn Meder, Jonathan D. Nelson, Peter Pirolli, Chen Yu:
Informavores: Active information foraging and human cognition. CogSci 2013 - 2012
- [c12]Mordechai Juni, Todd M. Gureckis, Laurence T. Maloney:
One-shot lotteries in the park. CogSci 2012 - [c11]Douglas Markant, Sarah Dubrow, Lila Davachi, Todd M. Gureckis:
The role of exploratory decision-making in enhancing episodic memory. CogSci 2012 - [c10]Douglas Markant, Todd M. Gureckis:
Does the utility of information influence sampling behavior? CogSci 2012 - [c9]Douglas Markant, Todd M. Gureckis:
One piece at a time: Learning complex rules through self-directed sampling. CogSci 2012 - [c8]John V. McDonnell, Devin Domingo, Todd M. Gureckis:
Self-directed information selection aids learning of logical rules. CogSci 2012 - [c7]John V. McDonnell, Carol A. Jew, Todd M. Gureckis:
Sparse category labels obstruct generalization of category membership. CogSci 2012 - 2011
- [j6]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): 1697-1709 (2011) - [c6]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 - [c5]Nathaniel Blanco, Todd M. Gureckis:
Does Category Labeling Lead to Forgetting? CogSci 2011 - [c4]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 - [c3]Douglas Markant, Todd M. Gureckis:
Modeling information sampling over the course of learning. CogSci 2011 - [c2]John V. McDonnell, Todd M. Gureckis:
Learning categories from an intermittent teacher. CogSci 2011 - 2010
- [j5]Todd M. Gureckis, Bradley C. Love:
Direct Associations or Internal Transformations? Exploring the Mechanisms Underlying Sequential Learning Behavior. Cogn. Sci. 34(1): 10-50 (2010)
2000 – 2009
- 2009
- [j4]Robert L. Goldstone, Todd M. Gureckis:
Collective Behavior. Top. Cogn. Sci. 1(3): 412-438 (2009) - [j3]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): 651-674 (2009) - 2003
- [j2]Todd M. Gureckis, Bradley C. Love:
Human Unsupervised and Supervised Learning as a Quantitative Distinction. Int. J. Pattern Recognit. Artif. Intell. 17(5): 885-901 (2003) - [j1]Todd M. Gureckis, Bradley C. Love:
Towards a unified account of supervised and unsupervised category learning. J. Exp. Theor. Artif. Intell. 15(1): 1-24 (2003) - 2002
- [c1]Todd M. Gureckis, Bradley C. Love:
Modeling Unsupervised Learning with SUSTAIN. FLAIRS 2002: 163-167
Coauthor Index
aka: Douglas B. Markant
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