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Sebastian W. Ober

Active learning for affinity prediction of antibodies

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Jun 11, 2024
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Recommendations for Baselines and Benchmarking Approximate Gaussian Processes

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Feb 15, 2024
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Towards Improved Variational Inference for Deep Bayesian Models

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Jan 23, 2024
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Trieste: Efficiently Exploring The Depths of Black-box Functions with TensorFlow

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Feb 16, 2023
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Inducing Point Allocation for Sparse Gaussian Processes in High-Throughput Bayesian Optimisation

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Jan 24, 2023
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Information-theoretic Inducing Point Placement for High-throughput Bayesian Optimisation

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Jun 06, 2022
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A variational approximate posterior for the deep Wishart process

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Jul 21, 2021
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Last Layer Marginal Likelihood for Invariance Learning

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Jun 14, 2021
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The Promises and Pitfalls of Deep Kernel Learning

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Feb 24, 2021
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Understanding Variational Inference in Function-Space

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Nov 18, 2020
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