340 citations · 1.4k across the 15 of their papers we have counts for
3 papers · 1 filter
Bayesian Neural Networks
Tom Charnock, Laurence Perreault-Levasseur, François Lanusse
In recent times, neural networks have become a powerful tool for the analysis of complex and abstract data models. However, their introduction intrinsically increases our uncertain…
Detecting outliers in astronomical images with deep generative networks
Berta Margalef-Bentabol, Marc Huertas-Company, Tom Charnock +5
With the advent of future big-data surveys, automated tools for unsupervised discovery are becoming ever more necessary. In this work, we explore the ability of deep generative net…
Super-resolution emulator of cosmological simulations using deep physical models
Doogesh Kodi Ramanah, Tom Charnock, Francisco Villaescusa-Navarro +1
We present an extension of our recently developed Wasserstein optimized model to emulate accurate high-resolution features from computationally cheaper low-resolution cosmological…