Christopher J. Bates
Scholar

Christopher J. Bates

Google Scholar ID: 2yu7OgwAAAAJ
Postdoctoral Fellow, Harvard Psychology
Computational cognitive science
Citations & Impact
All-time
Citations
406
 
H-index
7
 
i10-index
7
 
Publications
15
 
Co-authors
3
list available
Resume (English only)
Academic Achievements
  • Ahmed, Z., Tenenbaum, J. B., Gershman, S. J., & Bates, C. J. (2025). Synthesizing world models for bilevel planning. arXiv preprint arXiv:2503.20124. (Under review)
  • Bates, C. J., Bose, R., Keeney, R. G., Kazakova, V. A. (2023). Contractual AI: Toward More Aligned, Transparent, and Robust Dialogue Agents. In 2023 AAAI Fall Symposium.
  • Bates, C. J., Alvarez, G., & Gershman, S. J. (2023). Scaling models of visual working memory to natural images. bioRxiv.
  • Bates, C., & Gershman, S. (2022). Coding Strategies in Memory for 3D Objects: The Influence of Task Uncertainty. In Proceedings of the Annual Meeting of the Cognitive Science Society.
  • Bates, C. J., & Jacobs, R. A. (2020). Efficient Data Compression in Perception and Perceptual Memory. Psychological Review.
  • Bates, C. J., Lerch, R. A., Sims, C. R., & Jacobs, R. A. (2019). Adaptive allocation of human visual working memory capacity during statistical and categorical learning. Journal of Vision.
  • Bates, C. J., Yildirim, I., Tenenbaum, J. B., & Battaglia, P. (2019). Modeling human intuitions about liquid flow with particle-based simulation. PLOS Computational Biology.
  • Jacobs, R. A., & Bates, C. J. (2018). Comparing the Visual Representations and Performance of Humans and Deep Neural Networks. Current Directions in Psychological Science.