All Publications
2021
CBMM Memo No.
114
“From Associative Memories to Deep Networks”. 2021.
CBMM-Memo-114.pdf (1.01 MB) ,

CBMM Funded
2020
“Theoretical issues in deep networks”, Proceedings of the National Academy of Sciences, p. 201907369, 2020.
PNASlast.pdf (915.3 KB) ,

CBMM Funded
“The speed of human social interaction perception”, NeuroImage, p. 116844, 2020. ,
CBMM Funded
“Response patterns in the developing social brain are organized by social and emotion features and disrupted in children diagnosed with autism spectrum disorder”, Cortex, vol. 125, pp. 12 - 29, 2020. ,
CBMM Funded
“The logic of universalization guides moral judgment”, Proceedings of the National Academy of Sciences (PNAS), p. 202014505, 2020. ,
CBMM Funded
“Simulating a Primary Visual Cortex at the Front of CNNs Improves Robustness to Image Perturbations”, Advances in Neural Information Processing Systems 33 pre-proceedings (NeurIPS 2020). 2020. ,
CBMM Funded
“CUDA-Optimized real-time rendering of a Foveated Visual System”, in Shared Visual Representations in Human and Machine Intelligence (SVRHM) workshop at NeurIPS 2020, 2020.
Foveated_Drone_SVRHM_2020.pdf (13.44 MB)
v1 (12/15/2020) (14.7 MB) ,


CBMM Funded
“PHASE: PHysically-grounded Abstract Social Eventsfor Machine Social Perception”, in Shared Visual Representations in Human and Machine Intelligence (SVRHM) workshop at NeurIPS 2020, 2020.
phase_physically_grounded_abstract_social_events_for_machine_social_perception.pdf (2.49 MB) ,

CBMM Funded
“Learning Compositional Rules via Neural Program Synthesis”, in Advances in Neural Information Processing Systems 33 pre-proceedings (NeurIPS 2020), 2020.
2003.05562.pdf (2.51 MB) ,

CBMM Funded
“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) ,

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) ,

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) ,

CBMM Funded
“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) ,

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) ,

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) ,

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
CBMM Memo No.
112
“Implicit dynamic regularization in deep networks”. 2020.
TPR_ver2.pdf (2.29 MB)
Substantial edits (1.52 MB)
Edits that are extensive but minor in content (1.98 MB)
Extending theory, setting a post (2 MB)
Fine tuning (2.01 MB)
Corrections in Appendix about Neural Collapse (2.01 MB)
Small edits clarifying role of weight decay (2.39 MB) ,







CBMM Funded
“Minimal videos: Trade-off between spatial and temporal information in human and machine vision.”, Cognition, 2020. ,
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) ,

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) ,

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) ,


CBMM Funded
“ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation”, arXiv, 2020.
2007.04954.pdf (7.06 MB) ,

CBMM Funded