Philip Graff

Publication Activity (10 Years)

Years Active: 2013-2017
Publications (10 Years): 2

Top Topics

Bayesian Learning

Neural Network Training

Tree Representation

Variational Approximation

Top Venues

Publications

Cetin Savkli, Jeffrey Lin, Philip Graff, Matthew Kinsey
GALILEO: A Generalized Low-Entropy Mixture Model. CoRR (2017)
Cetin Savkli, J. Ryan Carr, Philip Graff, Lauren Kennell
Bayesian Learning of Clique Tree Structure. CoRR (2017)
Philip Graff, Farhan Feroz, Michael P. Hobson, Anthony N. Lasenby
Neural Networks for Astronomical Data Analysis and Bayesian Inference. ICDM Workshops (2013)
Philip Graff, Farhan Feroz, Michael P. Hobson, Anthony N. Lasenby
SKYNET: an efficient and robust neural network training tool for machine learning in astronomy. CoRR (2013)