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).
Behavioral signatures of face perception emerge in deep neural networks optimized for face recognition. Proceedings of the National Academy of Sciences 120, (2023).
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).
Spatial cognition across development. SRCD (2017).
Children's expectations about training the approximate number system. British Journal of Developmental Psychology 33, (2015).
Isolating angle in infants' detection of shape. (2015). SRCD_2015_Dillonetal.pdf (5.01 MB)
SRCD_2015_Dillonetal.pdf (5.01 MB) 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>
Core geometry in perspective. Developmental Science (2014). doi:10.1111/desc.12266
From Map Reading to Geometric Intuitions. Developmental Psychology (2018). doi:http://dx.doi.org/10.1037/dev0000509
Core foundations of abstract geometry. Proceedings of National Academy of Sciences of the United States of America 110, (2013).
Infants’ sensitivity to shape changes. Cognitive Development Society Pre-Conference on the Development of Spatial Thinking (2015).
From spatial symbols to Euclidean intuitions. Biennial Meeting of Cognitive Development Society (2015).
Reorientation ability predicts early spatial symbol reading. 2015 Society for Research in Child Development Biennial Meeting (2015).
Connecting core cognition, spatial symbols, and the abstract concepts of formal geometry. Cognitive Development Society Post-Conference, More on Development (2015).