research
∙
11/16/2021
Automatically detecting anomalous exoplanet transits
Raw light curve data from exoplanet transits is too complex to naively a...
share
research
∙
11/15/2021
Fast and Credible Likelihood-Free Cosmology with Truncated Marginal Neural Ratio Estimation
Sampling-based inference techniques are central to modern cosmological d...
research
∙
07/02/2021
Truncated Marginal Neural Ratio Estimation
Parametric stochastic simulators are ubiquitous in science, often featur...
research
∙
11/27/2020
Simulation-efficient marginal posterior estimation with swyft: stop wasting your precious time
We present algorithms (a) for nested neural likelihood-to-evidence ratio...
research
∙
08/19/2020
Relevance of Rotationally Equivariant Convolutions for Predicting Molecular Properties
Equivariant neural networks (ENNs) are graph neural networks embedded in...
research
∙
07/04/2020