108 citations · 141 across the 3 of their papers we have counts for
5 papers
Predicting the long-term stability of compact multiplanet systems
Daniel Tamayo, Miles Cranmer, Samuel Hadden +11
We combine analytical understanding of resonant dynamics in two-planet systems with machine learning techniques to train a model capable of robustly classifying stability in compac…
Lagrangian Neural Networks
Miles Cranmer, Sam Greydanus, Stephan Hoyer +3
Accurate models of the world are built upon notions of its underlying symmetries. In physics, these symmetries correspond to conservation laws, such as for energy and momentum. Yet…
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…
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…
Bifrost: a Python/C++ Framework for High-Throughput Stream Processing in Astronomy
Miles D. Cranmer, Benjamin R. Barsdell, Danny C. Price +11
Radio astronomy observatories with high throughput back end instruments require real-time data processing. While computing hardware continues to advance rapidly, development of rea…