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Torsten A. Enßlin

Max-Planck Institut für Astrophysik, Ludwig-Maximilians-Universität München

Re-Envisioning Numerical Information Field Theory (NIFTy.re): A Library for Gaussian Processes and Variational Inference

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Feb 26, 2024
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Sparse Kernel Gaussian Processes through Iterative Charted Refinement (ICR)

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Jun 21, 2022
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Probabilistic Autoencoder using Fisher Information

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Oct 28, 2021
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Geometric variational inference

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May 21, 2021
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Metric Gaussian Variational Inference

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Jan 30, 2019
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Bayesian Causal Inference

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Dec 24, 2018
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Encoding prior knowledge in the structure of the likelihood

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Dec 11, 2018
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Optimal Belief Approximation

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Aug 03, 2017
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Correlated signal inference by free energy exploration

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Feb 13, 2017
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Signal inference with unknown response: Calibration-uncertainty renormalized estimator

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Mar 02, 2015
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