Tom Charnock

Fast likelihood-free cosmology with neural density estimators and active learning

Justin Alsing, Tom Charnock, Stephen M. Feeney et al. · Monthly Notices of the Royal Astronomical Society · 2019 · 215 citations · Full text

Natural Sciences, Computer Science, Physics +17

Tension between the power spectrum of density perturbations measured on large and small scales

Richard A. Battye, Tom Charnock, A. Moss · Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D, Particles, fields, gravitation, and cosmology · 2015 · 166 citations · Full text

Natural Sciences, Astronomy, Physics +17

CMB constraints on cosmic strings and superstrings

Tom Charnock, Anastasios Avgoustidis, Edmund J. Copeland et al. · Physical review. D/Physical review. D. · 2016 · 131 citations · Full text

Natural Sciences, Astronomy, Physics +14

Automatic physical inference with information maximizing neural networks

Tom Charnock, Guilhem Lavaux, B. D. Wandelt · Physical review. D/Physical review. D. · 2018 · 112 citations · Full text

Computing, Computer Science, Physics +17

Super-resolution emulator of cosmological simulations using deep physical models

Doogesh Kodi Ramanah, Tom Charnock, Francisco Villaescusa-Navarro et al. · Monthly Notices of the Royal Astronomical Society · 2020 · 70 citations · Full text

Natural Sciences, Physics, Astrophysics +16