381 citations · 1.5k across the 52 of their papers we have counts for
Showing 2019Show all
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cs.LG2019★ 32 cited
Learning Symbolic Physics with Graph Networks
Miles D. Cranmer, Rui Xu, Peter Battaglia +1
We introduce an approach for imposing physically motivated inductive biases on graph networks to learn interpretable representations and improved zero-shot generalization. Our expe…
astro-ph.IM2019★ 6 cited
Modeling the Gaia Color-Magnitude Diagram with Bayesian Neural Flows to Constrain Distance Estimates
Miles D. Cranmer, Richard Galvez, Lauren Anderson +2
We demonstrate an algorithm for learning a flexible color-magnitude diagram from noisy parallax and photometry measurements using a normalizing flow, a deep neural network capable…