| 2025 | ICLR | Large Language Models Assume People are More Rational than We Really are. | Ryan Liu, Jiayi Geng, Joshua C. Peterson, Ilia Sucholutsky, Thomas L. Griffiths |
| 2023 | CogSci | To each their own theory: Exploring the limits of individual differences in decisions under risk. | Joshua C. Peterson, Marina Mancoridis, Tom Griffiths |
| 2023 | UAI | On the informativeness of supervision signals. | Ilia Sucholutsky, Ruairidh M. Battleday, Katherine M. Collins, Raja Marjieh, Joshua C. Peterson, Pulkit Singh, Umang Bhatt, Nori Jacoby, Adrian Weller, Thomas L. Griffiths |
| 2021 | CogSci | Combating the climate crisis with cognitive science. | Rachit Dubey, Joshua C. Peterson |
| 2020 | CogSci | Extracting low-dimensional psychological representations from convolutional neural networks. | Aditi Jha, Joshua C. Peterson, Tom Griffiths |
| 2020 | CogSci | End-to-end Deep Prototype and Exemplar Models for Predicting Human Behavior. | Pulkit Singh, Joshua C. Peterson, Ruairidh M. Battleday, Tom Griffiths |
| 2019 | CogSci | Using Machine Learning to Guide Cognitive Modeling: A Case Study in Moral Reasoning. | Mayank Agrawal, Joshua C. Peterson, Tom Griffiths |
| 2019 | CogSci | Learning deep taxonomic priors for concept learning from few positive examples. | Erin Grant, Joshua C. Peterson, Tom Griffiths |
| 2019 | ICCV | Human Uncertainty Makes Classification More Robust. | Joshua C. Peterson, Ruairidh M. Battleday, Thomas L. Griffiths, Olga Russakovsky |
| 2019 | ICML | Cognitive model priors for predicting human decisions. | David D. Bourgin, Joshua C. Peterson, Daniel Reichman, Stuart J. Russell, Thomas L. Griffiths |
| 2018 | CogSci | Capturing human category representations by sampling in deep feature spaces. | Joshua C. Peterson, Jordan W. Suchow, Krisha Aghi, Alexander Y. Ku, Tom Griffiths |
| 2018 | CogSci | Learning Hierarchical Visual Representations in Deep Neural Networks Using Hierarchical Linguistic Labels. | Joshua C. Peterson, Paul Soulos, Aida Nematzadeh, Tom Griffiths |
| 2018 | CogSci | Learning a face space for experiments on human identity. | Jordan W. Suchow, Joshua C. Peterson, Tom Griffiths |
| 2018 | ICLR | Capturing Human Category Representations by Sampling in Deep Feature Spaces. | Joshua C. Peterson, Krisha Aghi, Jordan W. Suchow, Alexander Y. Ku, Tom Griffiths |
| 2017 | CogSci | Modeling human categorization of natural images using deep feature representations. | Ruairidh M. Battleday, Joshua C. Peterson, Tom Griffiths |
| 2017 | CogSci | Evaluating vector-space models of analogy. | Dawn Chen, Joshua C. Peterson, Tom Griffiths |
| 2017 | CogSci | Evidence for the size principle in semantic and perceptual domains. | Joshua C. Peterson, Thomas L. Griffiths |
| 2017 | IJCAI | Adapting Deep Network Features to Capture Psychological Representations: An Abridged Report. | Joshua C. Peterson, Joshua T. Abbott, Thomas L. Griffiths |
| 2016 | CogSci | Adapting Deep Network Features to Capture Psychological Representations. | Joshua C. Peterson, Joshua T. Abbott, Thomas L. Griffiths |
| 2015 | AIED | Understanding Student Success in Chemistry Using Gaze Tracking and Pupillometry. | Joshua C. Peterson, Zachary A. Pardos, Martina A. Rau, Anna Swigart, Colin Gerber, Jonathan McKinsey |
| 2015 | CogSci | The colors and textures of musical sounds. | Thomas A. Langlois, Joshua C. Peterson, Stephen E. Palmer |
| 2015 | CogSci | Emotionally mediated crossmodal correspondences affect classification performance. | Joshua C. Peterson, Stephen E. Palmer |
| 2015 | ICCV | What Makes an Object Memorable? | Rachit Dubey, Joshua C. Peterson, Aditya Khosla, Ming-Hsuan Yang, Bernard Ghanem |