100 citations · 119 across the 4 of their papers we have counts for
4 papers
Implicit Variational Inference for High-Dimensional Posteriors
Anshuk Uppal, Kristoffer Stensbo-Smidt, Wouter Boomsma +1
In variational inference, the benefits of Bayesian models rely on accurately capturing the true posterior distribution. We propose using neural samplers that specify implicit distr…
Adaptive Cholesky Gaussian Processes
Simon Bartels, Kristoffer Stensbo-Smidt, Pablo Moreno-Muñoz +3
We present a method to approximate Gaussian process regression models for large datasets by considering only a subset of the data. Our approach is novel in that the size of the sub…
Big Universe, Big Data: Machine Learning and Image Analysis for Astronomy
Jan Kremer, Kristoffer Stensbo-Smidt, Fabian Gieseke +2
Astrophysics and cosmology are rich with data. The advent of wide-area digital cameras on large aperture telescopes has led to ever more ambitious surveys of the sky. Data volumes…
Sacrificing information for the greater good: how to select photometric bands for optimal accuracy
Kristoffer Stensbo-Smidt, Fabian Gieseke, Christian Igel +2
Large-scale surveys make huge amounts of photometric data available. Because of the sheer amount of objects, spectral data cannot be obtained for all of them. Therefore it is impor…