Sotabase

Career

· Assistant Professor in the Faculty of Computing & Data Sciences, Boston University2023–
· Ph.D. in Cognition, Brain, and Behavior, UC Berkeley2013–2018

Publications (47)

Human Uncertainty Makes Classification More Robust
IEEE International Conference on Computer Vision · 2019
345
cited
Using large-scale experiments and machine learning to discover theories of human decision-making
Science · 2021
203
cited
Evaluating (and Improving) the Correspondence Between Deep Neural Networks and Human Representations
Cognitive Sciences · 2017
153
cited
What Makes an Object Memorable?
IEEE International Conference on Computer Vision · 2015
105
cited
Capturing human categorization of natural images by combining deep networks and cognitive models
Nature Communications · 2020
103
cited
Cognitive Model Priors for Predicting Human Decisions
International Conference on Machine Learning · 2019
82
cited
Adapting Deep Network Features to Capture Psychological Representations
Annual Meeting of the Cognitive Science Society · 2016
69
cited
Deep models of superficial face judgments
Proceedings of the National Academy of Sciences of the United States of America · 2022
63
cited
Scaling up psychology via Scientific Regret Minimization
Proceedings of the National Academy of Sciences of the United States of America · 2020
56
cited
Deep Neural Networks and How They Apply to Sequential Education Data
ACM Conference on Learning @ Scale · 2016
52
cited
Evaluating vector-space models of analogy
Annual Meeting of the Cognitive Science Society · 2017
50
cited
Predicting human decisions with behavioral theories and machine learning
arXiv.org · 2019
50
cited
Centaur: a foundation model of human cognition
arXiv.org · 2024
47
cited
Large Language Models Assume People are More Rational than We Really are
International Conference on Learning Representations · 2024
41
cited
From convolutional neural networks to models of higher‐level cognition (and back again)
Annals of the New York Academy of Sciences · 2021
36
cited
Parallelograms revisited: Exploring the limitations of vector space models for simple analogies
Cognition · 2020
31
cited
Modeling human categorization of natural images using deep feature representations
Annual Meeting of the Cognitive Science Society · 2017
22
cited
End-to-end Deep Prototype and Exemplar Models for Predicting Human Behavior
Annual Meeting of the Cognitive Science Society · 2020
21
cited
Modelling Student Behavior using Granular Large Scale Action Data from a MOOC
arXiv.org · 2016
19
cited
Understanding Student Success in Chemistry Using Gaze Tracking and Pupillometry
International Conference on Artificial Intelligence in Education · 2015
18
cited
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Joshua Peterson | Researcher Profile | Sotabase | Sotabase