Marcus Michael Noack
Orcid: 0000-0003-2750-6565Affiliations:
- Lawrence Berkeley National Laboratory, Berkeley, CA, USA
According to our database1,
Marcus Michael Noack
authored at least 9 papers
between 2014 and 2023.
Collaborative distances:
Collaborative distances:
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Bibliography
2023
CoRR, 2023
2022
Exact Gaussian Processes for Massive Datasets via Non-Stationary Sparsity-Discovering Kernels.
CoRR, 2022
2021
Advanced Stationary and Non-Stationary Kernel Designs for Domain-Aware Gaussian Processes.
CoRR, 2021
High-Performance Hybrid-Global-Deflated-Local Optimization with Applications to Active Learning.
Proceedings of the 3rd Annual Workshop on Extreme-scale Experiment-in-the-Loop Computing, 2021
2020
K-means-driven Gaussian Process data collection for angle-resolved photoemission spectroscopy.
Mach. Learn. Sci. Technol., 2020
2019
Computational Strategies to Increase Efficiency of Gaussian-Process-Driven Autonomous Experiments.
Proceedings of the 1st IEEE/ACM Annual Workshop on Large-scale Experiment-in-the-Loop Computing, 2019
2017
J. Comput. Appl. Math., 2017
2015
A two-scale method using a list of active sub-domains for a fully parallelized solution of wave equations.
J. Comput. Sci., 2015
2014
Structural Abnormality Detection of ARVC Patients via Localised Distance-to-Average Mapping.
Proceedings of the Statistical Atlases and Computational Models of the Heart - Imaging and Modelling Challenges, 2014