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Erik Daxberger

Mobile V-MoEs: Scaling Down Vision Transformers via Sparse Mixture-of-Experts

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Sep 08, 2023
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Adapting the Linearised Laplace Model Evidence for Modern Deep Learning

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Jun 17, 2022
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Mixtures of Laplace Approximations for Improved Post-Hoc Uncertainty in Deep Learning

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Nov 05, 2021
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Laplace Redux -- Effortless Bayesian Deep Learning

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Jun 28, 2021
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Expressive yet Tractable Bayesian Deep Learning via Subnetwork Inference

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Oct 28, 2020
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Sample-Efficient Optimization in the Latent Space of Deep Generative Models via Weighted Retraining

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Jun 16, 2020
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Bayesian Variational Autoencoders for Unsupervised Out-of-Distribution Detection

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Dec 11, 2019
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Mixed-Variable Bayesian Optimization

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Jul 02, 2019
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Embedding Models for Episodic Memory

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Jun 30, 2018
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