Craig Sanders
Psychology · Indiana University
Publications
31
Citations
337
Est. group size
—
Recurring co-author estimate
Active years
41
Publishing since 1985
Craig Sanders works at the intersection of psychology and computational methods, studying how people learn and form mental representations of concepts. Recent work uses machine learning tools such as deep neural networks and Gaussian processes to model psychological feature spaces and human learning, alongside some work touching on legal topics.
Publication activity was modest in the late 2010s, went quiet from 2021 to 2024, and shows a small return in 2025, averaging under one paper per year over the last five years.
Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026
- Mixed Likelihood Variational Gaussian Processes
arXiv (Cornell University) · 2025
- Training deep networks to construct a psychological feature space
OSF Preprints (OSF Preprints) · 2019
- Of Carrots and Sticks: General Jurisdiction and Genuine Consent
Northwestern University law review · 2017
- Experiment 2 (Subtype vs High Level Learning)
OSF Preprints (OSF Preprints) · 2016
- Experiment 1 (Similarity Ratings)
OSF Preprints (OSF Preprints) · 2016
- OSF Preprints (OSF Preprints)×3
- Behavior Research Methods×2
- Computational Brain & Behavior×2
- Journal of Experimental Psychology General×1
- Psychological Science×1
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 11, 2026.
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