Publication
Found 416 results
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Organization of high-level visual cortex in human infants. Nature Communications (2017). doi:10.1038/ncomms13995
Physical problem solving: Joint planning with symbolic, geometric, and dynamic constraints. Proceedings of the 39th Annual Conference of the Cognitive Science Society (2017).
Physical problem solving Joint planning with symbolic, geometric, and dynamic constraints, Yildirim et al., 2017.pdf (2.46 MB)
Rational quantitative attribution of beliefs, desires, and percepts in human mentalizing. Nature Human Behavior 1, (2017).
article.pdf (2.17 MB)
On the Robustness of Convolutional Neural Networks to Internal Architecture and Weight Perturbations. (2017).
CBMM-Memo-065.pdf (687.76 KB)
Six-month-old infants expect agents to minimize the cost of their actions. Cognition 160, 35-42 (2017).
Size-Independent Sample Complexity of Neural Networks. (2017).
1712.06541.pdf (278.77 KB)
Spatial cognition across development. SRCD (2017).
Synthesizing 3D Shapes via Modeling Multi-view Depth Maps and Silhouettes with Deep Generative Networks. 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2017). doi:10.1109/CVPR.2017.269
Synthesizing 3D Shapes via Modeling Multi-View Depth Maps and Silhouettes with Deep Generative Networks.pdf (2.86 MB)
Ten-month-old infants infer the value of goals from the costs of actions. Science 358, 1038-1041 (2017).
ivc_full_preprint_withsm.pdf (1.6 MB)
Ten-month-old infants infer value from effort. SRCD (2017).
Ten-month-old infants infer value from effort. Society for Research in Child Development (2017).
Theory of Intelligence with Forgetting: Mathematical Theorems Explaining Human Universal Forgetting using “Forgetting Neural Networks”. (2017).
CBMM-Memo-071.pdf (2.54 MB)
Theory of Intelligence with Forgetting: Mathematical Theorems Explaining Human Universal Forgetting using “Forgetting Neural Networks”. (2017).
CBMM-Memo-071.pdf (2.54 MB)
Tunable Efficient Unitary Neural Networks (EUNN) and their application to RNN. 34th International Conference on Machine Learning 70, 1733-1741 (2017).
1612.05231.pdf (2.3 MB)
Tunable Efficient Unitary Neural Networks (EUNN) and their application to RNN. 34th International Conference on Machine Learning 70, 1733-1741 (2017).
1612.05231.pdf (2.3 MB)
Tunable Efficient Unitary Neural Networks (EUNN) and their application to RNN. 34th International Conference on Machine Learning 70, 1733-1741 (2017).
1612.05231.pdf (2.3 MB)
What is changing when: Decoding visual information in movies from human intracranial recordings. Neuroimage (2017). doi:https://doi.org/10.1016/j.neuroimage.2017.08.027
Bottom-up and Top-down Input Augment the Variability of Cortical Neurons. Neuron 91(3), 540-547 (2016).
Children’s Expectations and Understanding of Kinship as a Social Category. Frontiers in Psychology 7, 1664-1078 (2016).
Children’s Expectations and Understanding of Kinship as a Social Category. Frontiers in Psychology 7, 1664-1078 (2016).
Scientists Making a Difference: One Hundred Eminent Behavioral and Brain Scientists Talk about Their Most Important Contributions (Cambridge University Press, 2016).
Scientists Making a Difference: One Hundred Eminent Behavioral and Brain Scientists Talk about Their Most Important Contributions (Cambridge University Press, 2016).
Continuous representations of action efficiency in infancy. CEU Conference on Cognitive Development (BCCCD16) (2016).