All Publications

2021

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
J. Hu, Zaslavsky, N., and Levy, R., “Competition from novel features drives scalar inferences in reference games”, Proceedings of the Annual Meeting of the Cognitive Science Society, vol. 43. 2021.
CBMM Related
S. M. Landi, Viswanathan, P., Serene, S., and Freiwald, W. A., “A fast link between face perception and memory in the temporal pole”, Science, p. eabi6671, 2021.
CBMM Funded
T. Shu, Bhandwaldar, A., Gan, C., Smith, K. A., Liu, S., Gutfreund, D., Spelke, E. S., Tenenbaum, J. B., and Ullman, T. D., “ AGENT: A Benchmark for Core Psychological Reasoning”, Proceedings of the 38th International Conference on Machine Learning. 2021.
CBMM Related
N. Zaslavsky, Maldonado, M., and Culbertson, J., “Let's talk (efficiently) about us: Person systems achieve near-optimal compression”, Proceedings of the Annual Meeting of the Cognitive Science Society, vol. 43. 2021.
CBMM Related
Y. Du, Smith, K. A., Ullman, T., Tenenbaum, J. B., and Wu, J., “Unsupervised Discovery of 3D Physical Objects”, in International Conference on Learning Representations, 2021.
CBMM Related
J. Mao, Luo, Z., Gan, C., Tenenbaum, J. B., Wu, J., Kaelbling, L. Pack, and Ullman, T. D., “Temporal and Object Quantification Networks”, in Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, Montreal, Canada, 2021.PDF icon 0386.pdf (472.5 KB)
CBMM Funded
Y. Liu, Dolan, R. J., Higgins, C., Penagos, H., Woolrich, M. W., H Ólafsdóttir, F., Barry, C., Kurth-Nelson, Z., and Behrens, T. E., “Temporally delayed linear modelling (TDLM) measures replay in both animals and humans”, eLife, vol. 10, 2021.
CBMM Related
S. Casper, Boix, X., D'Amario, V., Guo, L., Schrimpf, M., Vinken, K., and Kreiman, G., “Frivolous Units: Wider Networks Are Not Really That Wide”, in AAAI 2021, 2021.PDF icon 1912.04783.pdf (6.69 MB)
CBMM Funded
S. Dae Houlihan, Tenenbaum, J. B., and Saxe, R., The Neural Basis of Mentalizing: Linking Models of Theory of Mind and Measures of Human Brain Activity. Cham: Springer International Publishing, 2021, pp. 209 - 235.
CBMM Funded
F. A. Sosa, Ullman, T., Tenenbaum, J. B., Gershman, S. J., and Gerstenberg, T., “Moral dynamics: Grounding moral judgment in intuitive physics and intuitive psychology”, Cognition, vol. 217, p. 104890, 2021.
CBMM Funded
M. Zhang and Kreiman, G., “Beauty is in the eye of the machine”, Nature Human Behaviour, vol. 5, no. 6, pp. 675 - 676, 2021.
CBMM Funded
D. McNamee, Stachenfeld, K., Botvinick, M. M., and Gershman, S. J., “Flexible modulation of sequence generation in the entorhinal-hippocampal system”, Nature Neuroscience, 2021.
CBMM Funded
C. Yang, Zhou, Y., Marcus, S., Formenti, G., Bergeron, L. A., Song, Z., Bi, X., Bergman, J., Rousselle, M. Marie C., Zhou, C., Zhou, L., Deng, Y., Fang, M., Xie, D., Zhu, Y., Tan, S., Mountcastle, J., Haase, B., Balacco, J., Wood, J., Chow, W., Rhie, A., Pippel, M., Fabiszak, M. M., Koren, S., Fedrigo, O., Freiwald, W. A., Howe, K., Yang, H., Phillippy, A. M., Schierup, M. Heide, Jarvis, E. D., and Zhang, G., “Evolutionary and biomedical insights from a marmoset diploid genome assembly”, Nature, 2021.
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
M. Zhang, Badkundri, R., Talbot, M. B., Zawar, R., and Kreiman, G., “Hypothesis-driven Online Video Stream Learning with Augmented Memory”, arXiv, 2021.PDF icon 2104.02206.pdf (2.25 MB)
CBMM Funded
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
A. Adler, Araya-Polo, M., and Poggio, T., “Deep Learning for Seismic Inverse Problems: Toward the Acceleration of Geophysical Analysis Workflows”, IEEE Signal Processing Magazine, vol. 38, no. 2, pp. 89 - 119, 2021.
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
J. Traer, Norman-Haignere, S., and McDermott, J. H., “Causal inference in environmental sound recognition”, Cognition, 2021.
CBMM Funded
CBMM Memo No.
116
O. Kunhardt, Deza, A., and Poggio, T., “The Effects of Image Distribution and Task on Adversarial Robustness”. 2021.PDF icon CBMM_Memo_116.pdf (5.44 MB)
CBMM Funded
S. Anzellottti, Houlihan, S. Dae, 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
M. A. Cohen, Ostrand, C., Frontero, N., and Pham, P. - N., “Characterizing a snapshot of perceptual experience.”, Journal of Experimental Psychology: General, 2021.
CBMM Funded
G. Kreiman, Biological and Computer Vision. Cambridge, UK: Cambridge University Press, 2021.
CBMM Related
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

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