Marcus M. Noack | DeepAI

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research

∙ 09/18/2023

A Unifying Perspective on Non-Stationary Kernels for Deeper Gaussian Processes

The Gaussian process (GP) is a popular statistical technique for stochas...

0 Marcus M. Noack, et al. ∙

research

∙ 05/18/2022

Exact Gaussian Processes for Massive Datasets via Non-Stationary Sparsity-Discovering Kernels

A Gaussian Process (GP) is a prominent mathematical framework for stocha...

0 Marcus M. Noack, et al. ∙

research

∙ 02/05/2021

Advanced Stationary and Non-Stationary Kernel Designs for Domain-Aware Gaussian Processes

Gaussian process regression is a widely-applied method for function appr...

22 Marcus M. Noack, et al. ∙

research

∙ 06/03/2020

Autonomous Materials Discovery Driven by Gaussian Process Regression with Inhomogeneous Measurement Noise and Anisotropic Kernels

A majority of experimental disciplines face the challenge of exploring l...

0 Marcus M. Noack, et al. ∙