Marcus Michael Noack

Publication Activity (10 Years)

Years Active: 2014-2023
Publications (10 Years): 7

Top Topics

Gaussian Process

Top Venues

Mach. Learn. Sci. Technol.

J. Comput. Sci.

Publications

Marcus Michael Noack, Hengrui Luo, Mark D. Risser
A Unifying Perspective on Non-Stationary Kernels for Deeper Gaussian Processes. CoRR (2023)
Marcus Michael Noack, Harinarayan Krishnan, Mark D. Risser, Kristofer G. Reyes
Exact Gaussian Processes for Massive Datasets via Non-Stationary Sparsity-Discovering Kernels. CoRR (2022)
Marcus Michael Noack, James A. Sethian
Advanced Stationary and Non-Stationary Kernel Designs for Domain-Aware Gaussian Processes. CoRR (2021)
Marcus Michael Noack, David Perryman, Harinarayan Krishnan, Petrus H. Zwart
High-Performance Hybrid-Global-Deflated-Local Optimization with Applications to Active Learning. XLOOP@SC (2021)
Charles N. Melton, Marcus Michael Noack, Taisuke Ohta, Thomas E. Beechem, Jeremy Robinson, Xiaotian Zhang, Aaron Bostwick, Chris Jozwiak, Roland J. Koch, Petrus H. Zwart, Alexander Hexemer, Eli Rotenberg
K-means-driven Gaussian Process data collection for angle-resolved photoemission spectroscopy. Mach. Learn. Sci. Technol. 1 (4) (2020)
Marcus Michael Noack, Petrus H. Zwart
Computational Strategies to Increase Efficiency of Gaussian-Process-Driven Autonomous Experiments. XLOOP@SC (2019)
Marcus Michael Noack, Simon W. Funke
Hybrid genetic deflated Newton method for global optimisation. J. Comput. Appl. Math. 325 (2017)
Marcus Michael Noack
A two-scale method using a list of active sub-domains for a fully parallelized solution of wave equations. J. Comput. Sci. 11 (2015)
Kristin McLeod, Marcus Michael Noack, Jørg Saberniak, Kristina Haugaa
Structural Abnormality Detection of ARVC Patients via Localised Distance-to-Average Mapping. STACOM (2014)