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Christoph Zimmer

Batch Active Learning in Gaussian Process Regression using Derivatives

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Aug 03, 2024
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Amortized Active Learning for Nonparametric Functions

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Jul 25, 2024
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Future Aware Safe Active Learning of Time Varying Systems using Gaussian Processes

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May 17, 2024
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Efficiently Computable Safety Bounds for Gaussian Processes in Active Learning

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Feb 28, 2024
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Global Safe Sequential Learning via Efficient Knowledge Transfer

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Feb 22, 2024
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Safe Active Learning for Time-Series Modeling with Gaussian Processes

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Feb 09, 2024
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Amortized Inference for Gaussian Process Hyperparameters of Structured Kernels

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Jun 16, 2023
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Hierarchical-Hyperplane Kernels for Actively Learning Gaussian Process Models of Nonstationary Systems

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Mar 17, 2023
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Safe Active Learning for Multi-Output Gaussian Processes

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Mar 28, 2022
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Active Learning in Gaussian Process State Space Model

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Jul 30, 2021
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