Joshua C. Peterson

48 papers A* 5A 2B 16Journal 24Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A foundation model to predict and capture human cognition. Nat. Marcel Binz, Elif Akata, Matthias Bethge, Franziska Brändle, Fred Callaway, Julian Coda-Forno, Peter Dayan, Can Demircan, Maria K. Eckstein, Noémi Élteto, Thomas L. Griffiths, Susanne Haridi, Akshay K. Jagadish, Ji-An Li, Alexander Kipnis, Sreejan Kumar, Tobias Ludwig, Marvin Mathony, Marcelo G. Mattar, Alireza Modirshanechi, Surabhi S. Nath, Joshua C. Peterson, Milena Rmus, Evan M. Russek, Tankred Saanum, Johannes A. Schubert, Luca M. Schulze Buschoff, Nishad Singhi, Xin Sui, Mirko Thalmann, Fabian J. Theis, Vuong Truong, Vishaal Udandarao, Konstantinos Voudouris, Robert C. Wilson, Kristin Witte, Shuchen Wu, Dirk U. Wulff, Huadong Xiong, Eric Schulz
2025	A*	`conf`	Large Language Models Assume People are More Rational than We Really are. ICLR Ryan Liu, Jiayi Geng, Joshua C. Peterson, Ilia Sucholutsky, Thomas L. Griffiths
2024	J	`jnl`	Capturing the Complexity of Human Strategic Decision-Making with Machine Learning. CoRR Jian-Qiao Zhu, Joshua C. Peterson, Benjamin Enke, Thomas L. Griffiths
2024	J	`jnl`	Centaur: a foundation model of human cognition. CoRR Marcel Binz, Elif Akata, Matthias Bethge, Franziska Brändle, Fred Callaway, Julian Coda-Forno, Peter Dayan, Can Demircan, Maria K. Eckstein, Noémi Élteto, Thomas L. Griffiths, Susanne Haridi, Akshay K. Jagadish, Ji-An Li, Alexander Kipnis, Sreejan Kumar, Tobias Ludwig, Marvin Mathony, Marcelo G. Mattar, Alireza Modirshanechi, Surabhi S. Nath, Joshua C. Peterson, Milena Rmus, Evan M. Russek, Tankred Saanum, Natalia Scharfenberg, Johannes A. Schubert, Luca M. Schulze Buschoff, Nishad Singhi, Xin Sui, Mirko Thalmann, Fabian J. Theis, Vuong Truong, Vishaal Udandarao, Konstantinos Voudouris, Robert C. Wilson, Kristin Witte, Shuchen Wu, Dirk U. Wulff, Huadong Xiong, Eric Schulz
2024	J	`jnl`	Large Language Models Assume People are More Rational than We Really are. CoRR Ryan Liu, Jiayi Geng, Joshua C. Peterson, Ilia Sucholutsky, Thomas L. Griffiths
2023	J	`jnl`	Extracting Low-Dimensional Psychological Representations from Convolutional Neural Networks. Cogn. Sci. Aditi Jha, Joshua C. Peterson, Thomas L. Griffiths
2023	A	`conf`	On the informativeness of supervision signals. UAI Ilia Sucholutsky, Ruairidh M. Battleday, Katherine M. Collins, Raja Marjieh, Joshua C. Peterson, Pulkit Singh, Umang Bhatt, Nori Jacoby, Adrian Weller, Thomas L. Griffiths
2023	J	`jnl`	The Universal Law of Generalization Holds for Naturalistic Stimuli. CoRR Raja Marjieh, Nori Jacoby, Joshua C. Peterson, Thomas L. Griffiths
2023	B	`conf`	To each their own theory: Exploring the limits of individual differences in decisions under risk. CogSci Joshua C. Peterson, Marina Mancoridis, Tom Griffiths
2021	B	`conf`	Combating the climate crisis with cognitive science. CogSci Rachit Dubey, Joshua C. Peterson
2020	B	`conf`	End-to-end Deep Prototype and Exemplar Models for Predicting Human Behavior. CogSci Pulkit Singh, Joshua C. Peterson, Ruairidh M. Battleday, Tom Griffiths
2020	J	`jnl`	End-to-end Deep Prototype and Exemplar Models for Predicting Human Behavior. CoRR Pulkit Singh, Joshua C. Peterson, Ruairidh M. Battleday, Thomas L. Griffiths
2020	B	`conf`	Extracting low-dimensional psychological representations from convolutional neural networks. CogSci Aditi Jha, Joshua C. Peterson, Tom Griffiths
2020	J	`jnl`	Fluorescent Nuclei Measurements Macro (FNMM), a tool for automated cell quantification in ImageJ. Softw. Impacts Joshua C. Peterson, Marco C. DeRuiter
2019	J	`jnl`	Capturing human categorization of natural images at scale by combining deep networks and cognitive models. CoRR Ruairidh M. Battleday, Joshua C. Peterson, Thomas L. Griffiths
2019	J	`jnl`	Cognitive Model Priors for Predicting Human Decisions. CoRR David D. Bourgin, Joshua C. Peterson, Daniel Reichman, Thomas L. Griffiths, Stuart J. Russell
2019	A*	`conf`	Cognitive model priors for predicting human decisions. ICML David D. Bourgin, Joshua C. Peterson, Daniel Reichman, Stuart J. Russell, Thomas L. Griffiths
2019	A*	`conf`	Human Uncertainty Makes Classification More Robust. ICCV Joshua C. Peterson, Ruairidh M. Battleday, Thomas L. Griffiths, Olga Russakovsky
2019	J	`jnl`	Human uncertainty makes classification more robust. CoRR Joshua C. Peterson, Ruairidh M. Battleday, Thomas L. Griffiths, Olga Russakovsky
2019	B	`conf`	Learning deep taxonomic priors for concept learning from few positive examples. CogSci Erin Grant, Joshua C. Peterson, Tom Griffiths
2019	J	`jnl`	Predicting human decisions with behavioral theories and machine learning. CoRR Ori Plonsky, Reut Apel, Eyal Ert, Moshe Tennenholtz, David Bourgin, Joshua C. Peterson, Daniel Reichman, Thomas L. Griffiths, Stuart J. Russell, Evan C. Carter, James F. Cavanagh, Ido Erev
2019	J	`jnl`	Scaling up Psychology via Scientific Regret Minimization: A Case Study in Moral Decision-Making. CoRR Mayank Agrawal, Joshua C. Peterson, Thomas L. Griffiths
2019	B	`conf`	Using Machine Learning to Guide Cognitive Modeling: A Case Study in Moral Reasoning. CogSci Mayank Agrawal, Joshua C. Peterson, Tom Griffiths
2019	J	`jnl`	Using Machine Learning to Guide Cognitive Modeling: A Case Study in Moral Reasoning. CoRR Mayank Agrawal, Joshua C. Peterson, Thomas L. Griffiths
2018	—	`conf`	Capturing Human Category Representations by Sampling in Deep Feature Spaces. ICLR (Workshop) Joshua C. Peterson, Krisha Aghi, Jordan W. Suchow, Alexander Y. Ku, Tom Griffiths
2018	B	`conf`	Capturing human category representations by sampling in deep feature spaces. CogSci Joshua C. Peterson, Jordan W. Suchow, Krisha Aghi, Alexander Y. Ku, Tom Griffiths
2018	J	`jnl`	Capturing human category representations by sampling in deep feature spaces. CoRR Joshua C. Peterson, Jordan W. Suchow, Krisha Aghi, Alexander Y. Ku, Thomas L. Griffiths
2018	J	`jnl`	Evaluating (and Improving) the Correspondence Between Deep Neural Networks and Human Representations. Cogn. Sci. Joshua C. Peterson, Joshua T. Abbott, Thomas L. Griffiths
2018	B	`conf`	Learning Hierarchical Visual Representations in Deep Neural Networks Using Hierarchical Linguistic Labels. CogSci Joshua C. Peterson, Paul Soulos, Aida Nematzadeh, Tom Griffiths
2018	J	`jnl`	Learning Hierarchical Visual Representations in Deep Neural Networks Using Hierarchical Linguistic Labels. CoRR Joshua C. Peterson, Paul Soulos, Aida Nematzadeh, Thomas L. Griffiths
2018	B	`conf`	Learning a face space for experiments on human identity. CogSci Jordan W. Suchow, Joshua C. Peterson, Tom Griffiths
2018	J	`jnl`	Learning a face space for experiments on human identity. CoRR Jordan W. Suchow, Joshua C. Peterson, Thomas L. Griffiths
2017	A*	`conf`	Adapting Deep Network Features to Capture Psychological Representations: An Abridged Report. IJCAI Joshua C. Peterson, Joshua T. Abbott, Thomas L. Griffiths
2017	B	`conf`	Evaluating vector-space models of analogy. CogSci Dawn Chen, Joshua C. Peterson, Tom Griffiths
2017	J	`jnl`	Evaluating vector-space models of analogy. CoRR Dawn Chen, Joshua C. Peterson, Thomas L. Griffiths
2017	B	`conf`	Evidence for the size principle in semantic and perceptual domains. CogSci Joshua C. Peterson, Thomas L. Griffiths
2017	J	`jnl`	Evidence for the size principle in semantic and perceptual domains. CoRR Joshua C. Peterson, Thomas L. Griffiths
2017	J	`jnl`	Leveraging deep neural networks to capture psychological representations. CoRR Joshua C. Peterson, Joshua T. Abbott, Thomas L. Griffiths
2017	J	`jnl`	Modeling Human Categorization of Natural Images Using Deep Feature Representations. CoRR Ruairidh M. Battleday, Joshua C. Peterson, Thomas L. Griffiths
2017	B	`conf`	Modeling human categorization of natural images using deep feature representations. CogSci Ruairidh M. Battleday, Joshua C. Peterson, Tom Griffiths
2016	B	`conf`	Adapting Deep Network Features to Capture Psychological Representations. CogSci Joshua C. Peterson, Joshua T. Abbott, Thomas L. Griffiths
2016	J	`jnl`	Adapting Deep Network Features to Capture Psychological Representations. CoRR Joshua C. Peterson, Joshua T. Abbott, Thomas L. Griffiths
2016	B	`conf`	Deep Neural Networks and How They Apply to Sequential Education Data. L@S Steven Tang, Joshua C. Peterson, Zachary A. Pardos
2016	J	`jnl`	Modelling Student Behavior using Granular Large Scale Action Data from a MOOC. CoRR Steven Tang, Joshua C. Peterson, Zachary A. Pardos
2015	B	`conf`	Emotionally mediated crossmodal correspondences affect classification performance. CogSci Joshua C. Peterson, Stephen E. Palmer
2015	B	`conf`	The colors and textures of musical sounds. CogSci Thomas A. Langlois, Joshua C. Peterson, Stephen E. Palmer
2015	A	`conf`	Understanding Student Success in Chemistry Using Gaze Tracking and Pupillometry. AIED Joshua C. Peterson, Zachary A. Pardos, Martina A. Rau, Anna Swigart, Colin Gerber, Jonathan McKinsey
2015	A*	`conf`	What Makes an Object Memorable? ICCV Rachit Dubey, Joshua C. Peterson, Aditya Khosla, Ming-Hsuan Yang, Bernard Ghanem