Lowering the Entry Bar to HPC-Scale Uncertainty Quantification. - Linus Seelinger; Anne Reinarz; Jean Bénézech; Mikkel Bue Lykkegaard; Lorenzo Tamellini; Robert Scheichl (CoRR, 2023)

Multilevel Delayed Acceptance MCMC. - Mikkel Bue Lykkegaard; Tim J. Dodwell; Colin Fox; G. Mingas; Robert Scheichl (SIAM/ASA J. Uncertain. Quantification, 2023)

Democratizing Uncertainty Quantification. - Linus Seelinger; Anne Reinarz; Mikkel Bue Lykkegaard; Amal Mohammed A. Alghamdi; David Aristoff; Wolfgang Bangerth; Jean Bénézech; Matteo Diez; Kurt Frey; John D. Jakeman; Jakob Sauer Jørgensen; Ki-Tae Kim; et al. (CoRR, 2024)

Scalable Bayesian Inference of Large Simulations via Asynchronous Prefetching Multilevel Delayed Acceptance. - Maximilian Kruse; Zihua Niu; Sebastian Wolf; Mikkel Bue Lykkegaard; Michael Bader; Alice-Agnes Gabriel; Linus Seelinger (PASC, 2025)

A Performance Analysis of Task Scheduling for UQ Workflows on HPC Systems. - Chung Ming Loi; Anne Reinarz; Linus Seelinger; William Hornsby; James Buchanan; Mikkel Bue Lykkegaard (ISC, 2025)

Democratizing uncertainty quantification. - Linus Seelinger; Anne Reinarz; Mikkel Bue Lykkegaard; Robert Akers; Amal Mohammed A. Alghamdi; David Aristoff; Wolfgang Bangerth; Jean Bénézech; Matteo Diez; Kurt Frey; John D. Jakeman; Jakob Sauer Jørgensen; et al. (J. Comput. Phys., 2025)

Data Compression for Time Series Modelling: A Case Study of Smart Grid Demand Forecasting. - Mikkel Bue Lykkegaard; Svend Vendelbo Nielsen; Akanksha Upadhyay; Mikkel Bendixen Copeland; Philipp Trénell (CoRR, 2025)