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02/06/2023
Sampling-Based Accuracy Testing of Posterior Estimators for General Inference
Parameter inference, i.e. inferring the posterior distribution of the pa...
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01/30/2023
A theory of continuous generative flow networks
Generative flow networks (GFlowNets) are amortized variational inference...
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07/18/2022
Robust Simulation-Based Inference in Cosmology with Bayesian Neural Networks
Simulation-based inference (SBI) is rapidly establishing itself as a sta...
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07/11/2022
The Cosmic Graph: Optimal Information Extraction from Large-Scale Structure using Catalogues
We present an implicit likelihood approach to quantifying cosmological i...
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05/25/2022
Removing the fat from your posterior samples with margarine
Bayesian workflows often require the introduction of nuisance parameters...
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05/23/2022
Split personalities in Bayesian Neural Networks: the case for full marginalisation
The true posterior distribution of a Bayesian neural network is massivel...
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04/15/2022
Wavelet Moments for Cosmological Parameter Estimation
Extracting non-Gaussian information from the non-linear regime of struct...
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02/04/2022
