activity
20192021
most citedA unified framework for 21cm tomography sample generation and parameter inference with Progressively Growing GANs

21 citations · 48 across the 4 of their papers we have counts for

collaborators

7 papers

cs.LG20212 cited

The Earth Mover's Pinball Loss: Quantiles for Histogram-Valued Regression

Florian List

Although ubiquitous in the sciences, histogram data have not received much attention by the Deep Learning community. Whilst regression and classification tasks for scalar and vecto…

astro-ph.CO2020

Lux ex tenebris: The imprint of annihilating dark matter on the intergalactic medium during Cosmic Dawn

Florian List, Pascal J. Elahi, Geraint F. Lewis

Upcoming measurements of the highly redshifted 21cm line with next-generation radio telescopes such as HERA and SKA will provide the intriguing opportunity to probe dark matter (DM…

astro-ph.HE2020

The GCE in a New Light: Disentangling the -ray Sky with Bayesian Graph Convolutional Neural Networks

Florian List, Nicholas L. Rodd, Geraint F. Lewis +1

A fundamental question regarding the Galactic Center Excess (GCE) is whether the underlying structure is point-like or smooth. This debate, often framed in terms of a millisecond p…

astro-ph.CO202021 cited

A unified framework for 21cm tomography sample generation and parameter inference with Progressively Growing GANs

Florian List, Geraint F. Lewis

Creating a database of 21cm brightness temperature signals from the Epoch of Reionisation (EoR) for an array of reionisation histories is a complex and computationally expensive ta…

astro-ph.CO201921 cited

A black box for dark sector physics: Predicting dark matter annihilation feedback with conditional GANs

Florian List, Ishaan Bhat, Geraint F. Lewis

Traditionally, incorporating additional physics into existing cosmological simulations requires re-running the cosmological simulation code, which can be computationally expensive.…

astro-ph.CO2019

A Novel Scheme for Dark Matter Annihilation Feedback in Cosmological Simulations

Florian List, Nikolas Iwanus, Pascal J. Elahi +1

We present a new self-consistent method for incorporating dark matter annihilation feedback (DMAF) in cosmological N-body simulations. The power generated by DMAF is evaluated at e…