All Publications
2023
CBMM Memo No.
140
“SGD and Weight Decay Provably Induce a Low-Rank Bias in Deep Neural Networks”. 2023. Low-rank bias.pdf (2.38 MB) ,
CBMM Funded
CBMM Memo No.
139
“Norm-Based Generalization Bounds for Compositionally Sparse Neural Networks”. 2023. Norm-based bounds for convnets.pdf (1.2 MB) ,
CBMM Funded
2022
“Visual motion perception as online hierarchical inference”, Nature Communications, vol. 13, no. 1, 2022. ,
CBMM Funded
“NeuroDecodeR: A package for neural decoding analyses in R”, bioRxiv, 2022. ,
CBMM Funded
“Inductive biases in theory-based reinforcement learning”, Cognitive Psychology, vol. 138, p. 101509, 2022. ,
CBMM Funded
“Towards an objective characterization of an individual's facial movements using Self-Supervised Person-Specific-Models”, arXiv, 2022. ,
CBMM Funded
“Artificial intelligence insights into hippocampal processing”, Frontiers in Computational Neuroscience, vol. 16, 2022. ,
CBMM Related
“Look twice: A generalist computational model predicts return fixations across tasks and species”, PLOS Computational Biology, vol. 18, no. 11, p. e1010654, 2022. journal.pcbi_.1010654.pdf (4.51 MB) ,
CBMM Funded
CBMM Memo No.
138
“How Deep Sparse Networks Avoid the Curse of Dimensionality: Efficiently Computable Functions are Compositionally Sparse”. 2022. v1.0 (984.15 KB) v5.7 adding in context learning etc (1.16 MB) ,
CBMM Funded
Lecture Notes in Computer ScienceComputer Vision – ECCV 2022Image2Point: 3D Point-Cloud Understanding with 2D Image Pretrained Models, vol. 13697. Cham: Springer Nature Switzerland, 2022, pp. 638 - 656. ,
CBMM Funded
“Primate Inferotemporal Cortex Neurons Generalize Better to Novel Image Distributions Than Analogous Deep Neural Networks Units”, in NeurIPS, 2022. ,
CBMM Related
“Robust Feature-Level Adversaries are Interpretability Tools”, NeurIPS. New Orleans, Louisiana, 2022. 8789_robust_feature_level_adversari.pdf (3.79 MB) ,
CBMM Funded
“A highly selective response to food in human visual cortex revealed by hypothesis-free voxel decomposition”, Current Biology, vol. 32, no. 19, pp. 4159 - 4171.e9, 2022. ,
CBMM Related
“Learning new physics efficiently with nonparametric methodsAbstract”, The European Physical Journal C, vol. 82, no. 10, 2022. ,
CBMM Related
“Dangerous Ground: One-Year-Old Infants are Sensitive to Peril in Other Agents’ Action PlansAbstract”, Open Mind, vol. 6, pp. 211 - 231, 2022. ,
CBMM Funded
“Mental control of uncertainty”, Cognitive, Affective, & Behavioral Neuroscience, vol. 23, no. 3, pp. 465 - 475, 2022. ,
CBMM Funded
“Representation Learning in Sensory Cortex: a theory”, IEEE Access, pp. 1 - 1, 2022. Representation_Learning_in_Sensory_Cortex_a_theory.pdf (1.17 MB) ,
CBMM Funded
“Scalable Causal Discovery with Score Matching”, NeurIPS 2022. 2022. ,
CBMM Related
“Synthesizing theories of human language with Bayesian program inductionAbstract”, Nature Communications, vol. 13, no. 1, 2022. s41467-022-32012-w.pdf (2.19 MB) ,
CBMM Funded
“Visual foundations of Euclidean geometry”, Cognitive Psychology, vol. 136, p. 101494, 2022. ,
CBMM Related
What Babies KnowAbstractCore KnowledgeAbstract, 1st ed. Oxford University PressNew York, 2022, pp. 190 - C5.T1. ,
CBMM Related
“Toddlers’ social evaluations of agents who act on false beliefs”, Developmental Science, vol. 26, no. 2, 2022. ,
CBMM Funded
CBMM Memo No.
137
“Understanding the Role of Recurrent Connections in Assembly Calculus”. 2022. CBMM-Memo-137.pdf (1.49 MB) ,
CBMM Funded
CBMM Memo No.
136
“System identification of neural systems: If we got it right, would we know?”. 2022. CBMM-Memo-136.pdf (1.75 MB) ,
CBMM Funded