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Carl Henrik Ek

Reparameterization invariance in approximate Bayesian inference

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Jun 05, 2024
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Identifying latent distances with Finslerian geometry

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Dec 20, 2022
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Optimisation of a global climate model ensemble for prediction of extreme heat days

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Nov 30, 2022
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Aligned Multi-Task Gaussian Process

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Oct 29, 2021
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Deep Neural Networks as Point Estimates for Deep Gaussian Processes

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May 10, 2021
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Black-box density function estimation using recursive partitioning

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Oct 26, 2020
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Bayesian nonparametric shared multi-sequence time series segmentation

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Jan 27, 2020
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Compositional uncertainty in deep Gaussian processes

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Sep 17, 2019
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Interpretable Dynamics Models for Data-Efficient Reinforcement Learning

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Jul 10, 2019
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Modulated Bayesian Optimization using Latent Gaussian Process Models

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Jun 26, 2019
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