Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox

Picture for Miles Cranmer

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 https://github.com/MilesCranmer/gnn_resource_allocation 

  Access Paper or Ask Questions

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! 

  Access Paper or Ask Questions

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: https://github.com/MilesCranmer/bnn_chaos_model; inference code at https://github.com/dtamayo/spock 

  Access Paper or Ask Questions

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!! 

  Access Paper or Ask Questions

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


  Access Paper or Ask Questions

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 https://github.com/MilesCranmer/symbolic_deep_learning 

  Access Paper or Ask Questions

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 github.com/MilesCranmer/lagrangian_nns 

  Access Paper or Ask Questions