Publication
] Synthesizing theories of human language with Bayesian program inductionAbstract. Nature Communications 13, (2022).
s41467-022-32012-w.pdf (2.19 MB)
s41467-022-32012-w.pdf (2.19 MB) Write, Execute, Assess: Program Synthesis with a REPL. Neural Information Processing Systems (NeurIPS 2019) (2019). 9116-write-execute-assess-program-synthesis-with-a-repl.pdf (3.9 MB)
9116-write-execute-assess-program-synthesis-with-a-repl.pdf (3.9 MB) Toward human-like object naming in artificial neural systems . International Conference on Learning Representations (ICLR 2020), Bridging AI and Cognitive Science workshop (2020).
Multiplicative Regularization Generalizes Better Than Additive Regularization. (2025). CBMM Memo 158.pdf (4.8 MB)
CBMM Memo 158.pdf (4.8 MB) A structured prediction approach for robot imitation learning. The International Journal of Robotics Research 43, 113 - 133 (2023).
Unsupervised Discovery of 3D Physical Objects. International Conference on Learning Representations (2021). at <https://openreview.net/forum?id=lf7st0bJIA5>
Using task-optimized neural networks to understand why brains have specialized processing for faces . Computational and Systems Neurosciences (2020).
Why Are Face and Object Processing Segregated in the Human Brain? Testing Computational Hypotheses with Deep Convolutional Neural Networks . Conference on Cognitive Computational Neuroscience (2020).
Effects of Face Familiarity in Humans and Deep Neural Networks . European Conference on Visual Perception (2019).
Brain-like functional specialization emerges spontaneously in deep neural networks. Science Advances 8, (2022).
Behavioral signatures of face perception emerge in deep neural networks optimized for face recognition. Proceedings of the National Academy of Sciences 120, (2023).
Children's expectations about training the approximate number system. British Journal of Developmental Psychology 33, (2015).
Core foundations of abstract geometry. Proceedings of National Academy of Sciences of the United States of America 110, (2013).
From spatial symbols to Euclidean intuitions. Cognitive Development Society (CDS) (2015). at <http://cogdevsoc.org/sites/default/files/Official%20Full%20Conference%20Proceedings_10.10.pdf>
From Map Reading to Geometric Intuitions. Developmental Psychology (2018). doi:http://dx.doi.org/10.1037/dev0000509
Reorientation ability predicts early spatial symbol reading. 2015 Society for Research in Child Development Biennial Meeting (2015).
Infants’ sensitivity to shape changes. Cognitive Development Society Pre-Conference on the Development of Spatial Thinking (2015).
Young children’s automatic and alternating use of scene and object information in spatial symbols. Budapest CEU Conference on Cognitive Development (2015).
From spatial symbols to Euclidean intuitions. Biennial Meeting of Cognitive Development Society (2015).
Isolating angle in infants' detection of shape. (2015). SRCD_2015_Dillonetal.pdf (5.01 MB)
SRCD_2015_Dillonetal.pdf (5.01 MB) Connecting core cognition, spatial symbols, and the abstract concepts of formal geometry. Cognitive Development Society Post-Conference, More on Development (2015).
Young Children’s Use of Surface and Object Information in Drawings of Everyday Scenes. Child Development (2016). doi:10.1111/cdev.12658