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Unsupervised Resource Allocation with Graph Neural Networks

Jun 17, 2021
Miles Cranmer, Peter Melchior, Brian Nord

* Accepted to PMLR/contributed oral at NeurIPS 2020 Pre-registration Workshop. Code at 

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A Deep Learning Approach for Active Anomaly Detection of Extragalactic Transients

Mar 22, 2021
V. Ashley Villar, Miles Cranmer, Edo Berger, Gabriella Contardo, Shirley Ho, Griffin Hosseinzadeh, Joshua Yao-Yu Lin

* 13 pages,9 figures, submitted to AAS Journals. Comments welcome! 

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A Bayesian neural network predicts the dissolution of compact planetary systems

Jan 11, 2021
Miles Cranmer, Daniel Tamayo, Hanno Rein, Peter Battaglia, Samuel Hadden, Philip J. Armitage, Shirley Ho, David N. Spergel

* 8 content pages, 7 appendix and references. 8 figures. Source code at:; inference code at 

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Anomaly Detection for Multivariate Time Series of Exotic Supernovae

Oct 21, 2020
V. Ashley Villar, Miles Cranmer, Gabriella Contardo, Shirley Ho, Joshua Yao-Yu Lin

* 6 pages, 2 figures, written for non-astronomers, submitted to the NeurIPS workshop Machine Learning and the Physical Sciences. Comments welcome!! 

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Meta-Learning One-Class Classification with DeepSets: Application in the Milky Way

Jul 08, 2020
Ademola Oladosu, Tony Xu, Philip Ekfeldt, Brian A. Kelly, Miles Cranmer, Shirley Ho, Adrian M. Price-Whelan, Gabriella Contardo

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Discovering Symbolic Models from Deep Learning with Inductive Biases

Jun 19, 2020
Miles Cranmer, Alvaro Sanchez-Gonzalez, Peter Battaglia, Rui Xu, Kyle Cranmer, David Spergel, Shirley Ho

* 9 pages content + 14 pages appendix/references. Supporting code found at 

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Lagrangian Neural Networks

Mar 10, 2020
Miles Cranmer, Sam Greydanus, Stephan Hoyer, Peter Battaglia, David Spergel, Shirley Ho

* 7 pages (+2 appendix). Accepted to ICLR 2020 Deep Differential Equations Workshop. Code at 

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