All Publications
2020
“Face selective patches in marmoset frontal cortexAbstract”, Nature Communications, vol. 11, no. 1, 2020. ,
CBMM Related
“Learning abstract structure for drawing by efficient motor program induction”, in Advances in Neural Information Processing Systems 33 pre-proceedings (NeurIPS 2020), 2020. ,
CBMM Funded
“AI Feynman 2.0: Pareto-optimal symbolic regression exploiting graph modularity”, in Advances in Neural Information Processing Systems 33 pre-proceedings (NeurIPS 2020), 2020.
2006.10782.pdf (2.62 MB) ,
![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
CBMM Funded
“Learning a Natural-language to LTL Executable Semantic Parser for Grounded Robotics”, Proceedings of Conference on Robot Learning (CoRL-2020), 2020. ,
CBMM Funded
“Rapid trial-and-error learning with simulation supports flexible tool use and physical reasoning”, Proceedings of the National Academy of Sciences, p. 201912341, 2020.
1912341117.full_.pdf (2.15 MB) ,
![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
CBMM Funded
CBMM Memo No.
113
“Dreaming with ARC”, Learning Meets Combinatorial Algorithms workshop at NeurIPS 2020. 2020.
CBMM Memo 113.pdf (1019.64 KB) ,
![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
CBMM Funded
“Origin of perseveration in the trade-off between reward and complexity”, Cognition, vol. 204, p. 104394, 2020. ,
CBMM Related
“Integrative Benchmarking to Advance Neurally Mechanistic Models of Human Intelligence”, Neuron, vol. 108, no. 3, pp. 413 - 423, 2020. ,
CBMM Related
“Acute social isolation evokes midbrain craving responses similar to hunger”, Nature Neuroscience, vol. 23, no. 12, pp. 1597 - 1605, 2020.
s41593-020-00742-z.pdf (5.47 MB) ,
![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
CBMM Funded
“Fast Recurrent Processing via Ventrolateral Prefrontal Cortex Is Needed by the Primate Ventral Stream for Robust Core Visual Object Recognition”, Neuron, 2020.
PIIS0896627320307595.pdf (3.92 MB) ,
![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
CBMM Funded
“An Overview of Some Issues in the Theory of Deep Networks”, IEEJ Transactions on Electrical and Electronic Engineering, vol. 15, no. 11, pp. 1560 - 1571, 2020. ,
CBMM Funded
“Incorporating intrinsic suppression in deep neural networks captures dynamics of adaptation in neurophysiology and perception”, Science Advances, vol. 6, no. 42, p. eabd4205, 2020.
gk7967.pdf (3.07 MB) ,
![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
CBMM Funded
“Hierarchical structure is employed by humans during visual motion perception”, Proceedings of the National Academy of Sciences, vol. 117, no. 39, pp. 24581 - 24589, 2020. ,
CBMM Related
“Infants’ sensitivity to shape changes in 2D visual forms”, Infancy, vol. 25, no. 5, pp. 618 - 639, 2020. ,
CBMM Funded
“Why Are Face and Object Processing Segregated in the Human Brain? Testing Computational Hypotheses with Deep Convolutional Neural Networks ”, in Conference on Cognitive Computational Neuroscience, Berlin, Germany, 2020. ,
CBMM Funded
“Online Developmental Science to Foster Innovation, Access, and Impact”, Trends in Cognitive Sciences, vol. 24, no. 9, pp. 675 - 678, 2020. ,
CBMM Funded
CBMM Memo No.
122
“Learning a natural-language to LTL executable semantic parser for grounded robotics”. 2020.
CBMM-Memo-122.pdf (1.03 MB) ,
![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
CBMM Funded
CBMM Memo No.
112
“Implicit dynamic regularization in deep networks”. 2020.
v1.2 (2.29 MB)
v.59 Update on rank (2.43 MB) ,
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CBMM Funded
“Minimal videos: Trade-off between spatial and temporal information in human and machine vision.”, Cognition, 2020. ,
CBMM Funded
“Function approximation by deep networks”, Communications on Pure & Applied Analysis, vol. 19, no. 8, pp. 4085 - 4095, 2020.
1534-0392_2020_8_4085.pdf (514.57 KB) ,
![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
CBMM Funded
“The inferior temporal cortex is a potential cortical precursor of orthographic processing in untrained monkeys”, Nature Communications, vol. 11, no. 1, 2020.
s41467-020-17714-3.pdf (25.01 MB) ,
![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
CBMM Funded
“Communicating Compositional Patterns”, Open Mind, vol. 4, pp. 25 - 39, 2020. ,
CBMM Funded
CBMM Memo No.
111
“On the Capability of Neural Networks to Generalize to Unseen Category-Pose Combinations”. 2020.
CBMM-Memo-111.pdf (9.76 MB) ,
![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
CBMM Funded
CBMM Memo No.
107
“Loss landscape: SGD has a better view”. 2020.
CBMM-Memo-107.pdf (1.03 MB)
Typos and small edits, ver11 (955.08 KB)
Small edits, corrected Hessian for spurious case (337.19 KB) ,
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CBMM Funded
“ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation”, arXiv, 2020.
2007.04954.pdf (7.06 MB) ,
![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
CBMM Funded