All Publications

2023

C. Wang, Subramaniam, V., Yaari, A. Uri, Kreiman, G., Katz, B., Cases, I., and Barbu, A., “BrainBERT: Self-supervised representation learning for Intracranial Electrodes”, International Conference on Learning Representations. Kigali, Rwanda, Africa, 2023.PDF icon 985_brainbert_self_supervised_repr.pdf (9.71 MB)
CBMM Funded

2022

S. D. Houlihan, Ong, D., Cusimano, M., and Saxe, R., “Reasoning about the antecedents of emotions: Bayesian causal inference over an intuitive theory of mind”, Proceedings of the 44th Annual Conference of the Cognitive Science Society, vol. 44. Toronto, CA, pp. 854-861, 2022.PDF icon Houlihan 2022 Proceedings of the 44th Annual Conference of the Cognitive Science Society.pdf (687.98 KB)
CBMM Funded
CBMM Memo No.
133
R. Tejwani, Kuo, Y. - L., Shu, T., Stankovits, B., Gutfreund, D., Tenenbaum, J. B., Katz, B., and Barbu, A., “Incorporating Rich Social Interactions Into MDPs”. 2022.PDF icon CBMM-Memo-133.pdf (1.68 MB)
CBMM Funded
CBMM Memo No.
132
Y. - L. Kuo, Huang, X., Barbu, A., McGill, S. G., Katz, B., Leonard, J. J., and Rosman, G., “Trajectory Prediction with Linguistic Representations”. 2022.PDF icon CBMM-Memo-132.pdf (1.15 MB)
CBMM Funded

2021

C. Bongiorno, Zhou, Y., Kryven, M., Theurel, D., Rizzo, A., Santi, P., Tenenbaum, J. B., and Ratti, C., “Vector-based pedestrian navigation in cities”, Nature Computational Science, vol. 1, no. 10, pp. 678 - 685, 2021.PDF icon s43588-021-00130-y.pdf (1.96 MB)
CBMM Funded
A. Uri Yaari, Sherman, M., Priebe, O. Clarke, Loh, P. - R., Katz, B., Barbu, A., and Berger, B., “Multi-resolution modeling of a discrete stochastic process identifies causes of cancer”, in International Conference on Learning Representations, 2021.
CBMM Funded
I. Palmer, Rouditchenko, A., Barbu, A., Katz, B., and Glass, J., “Spoken ObjectNet: A Bias-Controlled Spoken Caption Dataset”, in Interspeech 2021, ISCA, 2021.
CBMM Funded
Y. - L. Kuo, Katz, B., and Barbu, A., “Compositional RL Agents That Follow Language Commands in Temporal Logic”, Frontiers in Robotics and AI, vol. 8, 2021.PDF icon frobt-08-689550.pdf (1.57 MB)
CBMM Funded
Z. Yang and Freiwald, W. A., “Joint encoding of facial identity, orientation, gaze, and expression in the middle dorsal face areaSignificance”, Proceedings of the National Academy of Sciences, vol. 118, no. 33, 2021.
CBMM Related
CBMM Memo No.
123
A. Netanyahu, Shu, T., Katz, B., Barbu, A., and Tenenbaum, J. B., “PHASE: PHysically-grounded Abstract Social Events for Machine Social Perception”. 2021.PDF icon CBMM-Memo-123.pdf (3.08 MB)
CBMM Funded
I. Dasgupta and Gershman, S. J., “Memory as a Computational Resource”, Trends in Cognitive Sciences, vol. 25, no. 3, pp. 240 - 251, 2021.
CBMM Funded
S. Anzellottti, Houlihan, S. D., Liburd, Jr, S., and Saxe, R., “Leveraging facial expressions and contextual information to investigate opaque representations of emotions.”, Emotion, 2021.PDF icon Anzellotti 2021 Emotion.pdf (1.08 MB)
CBMM Funded
I. Sani, Stemmann, H., Caron, B., Bullock, D., Stemmler, T., Fahle, M., Pestilli, F., and Freiwald, W. A., “The human endogenous attentional control network includes a ventro-temporal cortical node”, Nature Communications, vol. 12, no. 1, 2021.
CBMM Funded
S. Yang, Bill, J., Drugowitsch, J., and Gershman, S. J., “Human visual motion perception shows hallmarks of Bayesian structural inference”, Scientific Reports, vol. 11, no. 1, 2021.
CBMM Funded
T. L. Griffiths and Zaslavsky, N., Encyclopedia of Color Science and TechnologyBayesian Approaches to Color Category Learning. Berlin, Heidelberg: Springer Berlin Heidelberg, 2021, pp. 1 - 5.
CBMM Related
M. S. Tomov, Schulz, E., and Gershman, S. J., “Multi-task reinforcement learning in humans”, Nature Human Behaviour, 2021.
CBMM Funded
CBMM Memo No.
131
C. Conwell, Mayo, D., Buice, M. A., Katz, B., Alvarez, G. A., and Barbu, A., “Neural Regression, Representational Similarity, Model Zoology Neural Taskonomy at Scale in Rodent Visual Cortex”. 2021.PDF icon CBMM-Memo-131.pdf (9.37 MB)
CBMM Funded
CBMM Memo No.
130
R. Tejwani, Kuo, Y. - L., Shu, T., Katz, B., and Barbu, A., “Social Interactions as Recursive MDPs”. 2021.PDF icon CBMM-Memo-130.pdf (1.52 MB)
CBMM Funded
CBMM Memo No.
129
Y. - L. Kuo, Katz, B., and Barbu, A., “Compositional Networks Enable Systematic Generalization for Grounded Language Understanding”. 2021.PDF icon CBMM-Memo-129.pdf (1.2 MB)
CBMM Funded
CBMM Memo No.
128
I. Palmer, Rouditchenko, A., Barbu, A., Katz, B., and Glass, J., “Spoken ObjectNet: A Bias-Controlled Spoken Caption Dataset”. 2021.PDF icon CBMM-Memo-128.pdf (2.91 MB)
CBMM Funded
CBMM Memo No.
127
Y. - L. Kuo, Barbu, A., and Katz, B., “Compositional RL Agents That Follow Language Commands in Temporal Logic”. 2021.PDF icon CBMM-Memo-127.pdf (2.12 MB)
CBMM Funded
CBMM Memo No.
126
C. Ross, Barbu, A., and Katz, B., “Measuring Social Biases in Grounded Vision and Language Embeddings”. 2021.PDF icon CBMM-Memo-126.pdf (1.32 MB)
CBMM Funded
C. Ross, Katz, B., and Barbu, A., “Measuring Social Biases in Grounded Vision and Language Embeddings”, NAACL (Annual Conference of the North American Chapter of the Association for Computational Linguistics). 2021.
CBMM Funded

2020

W. A. Freiwald, “Social interaction networks in the primate brain”, Current Opinion in Neurobiology, vol. 65, pp. 49 - 58, 2020.
CBMM Funded
M. Nye, Solar-Lezama, A., Tenenbaum, J. B., and Lake, B. M., “Learning Compositional Rules via Neural Program Synthesis”, in Advances in Neural Information Processing Systems 33 pre-proceedings (NeurIPS 2020), 2020.PDF icon 2003.05562.pdf (2.51 MB)
CBMM Funded

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