Charnock, Tom

Deep Recurrent Neural Networks for Supernovae Classification

Charnock, T., & Moss, A. (2017) · The Astrophysical Journal Letters

Gamma-ray bursts and supernovaeGalaxies: Formation, Evolution, Phenomena

Cited by 123

Super-resolution emulator of cosmological simulations using deep physical models

Kodi Ramanah, D., Charnock, T., Villaescusa-Navarro, F., & Wandelt, B. D. (2020) · Monthly Notices of the Royal Astronomical Society

Galaxies: Formation, Evolution, PhenomenaCosmology and Gravitation Theories

Cited by 70

Detecting outliers in astronomical images with deep generative networks

Margalef-Bentabol, B., Huertas-Company, M., Charnock, T., Margalef-Bentabol, C., Bernardi, M., Dubois, Y., Storey-Fisher, K., & Zanisi, L. (2020) · Monthly Notices of the Royal Astronomical Society

Galaxies: Formation, Evolution, PhenomenaAnomaly Detection Techniques and Applications

Cited by 56

Neural physical engines for inferring the halo mass distribution function

Charnock, T., Lavaux, G., Wandelt, B. D., Sarma Boruah, S., Jasche, J., & Hudson, M. J. (2020) · Monthly Notices of the Royal Astronomical Society

Galaxies: Formation, Evolution, PhenomenaCosmology and Gravitation Theories

Cited by 26