Publication
] Implicit dynamic regularization in deep networks. (2020).
v1.2 (2.29 MB) v.59 Update on rank (2.43 MB)
v1.2 (2.29 MB) v.59 Update on rank (2.43 MB) Incorporating intrinsic suppression in deep neural networks captures dynamics of adaptation in neurophysiology and perception. Science Advances 6, eabd4205 (2020). gk7967.pdf (3.07 MB)
gk7967.pdf (3.07 MB) Infants represent 'like-kin' affiliation . Budapest Conference on Cognitive Development (2020).
The inferior temporal cortex is a potential cortical precursor of orthographic processing in untrained monkeys. Nature Communications 11, (2020). s41467-020-17714-3.pdf (25.01 MB)
s41467-020-17714-3.pdf (25.01 MB) Integrative Benchmarking to Advance Neurally Mechanistic Models of Human Intelligence. Neuron 108, 413 - 423 (2020).
On the Implicit Bias Towards Minimal Depth of Deep Neural Networks. arXiv (2022). at <https://arxiv.org/abs/2202.09028> 2202.09028.pdf (2 MB)
2202.09028.pdf (2 MB) Incorporating Rich Social Interactions Into MDPs. (2022). CBMM-Memo-133.pdf (1.68 MB)
CBMM-Memo-133.pdf (1.68 MB) Incorporating Rich Social Interactions Into MDPs. 2022 IEEE International Conference on Robotics and Automation (ICRA)2022 International Conference on Robotics and Automation (ICRA) (2022). doi:10.1109/ICRA46639.2022.9811991
Infants infer potential social partners by observing the interactions of their parent with unknown others. Proceedings of the National Academy of Sciences 119, (2022). pnas.2121390119.pdf (1.43 MB)
pnas.2121390119.pdf (1.43 MB) Implicit regularization with strongly convex bias: Stability and acceleration. Analysis and Applications 21, 165 - 191 (2023).
Infants and toddlers leverage their understanding of action goals to evaluate agents who help others. Child Development (2023). doi:10.1111/cdev.13895