Gaussian Processes with Linear Operator Inequality Constraints. - Christian Agrell (J. Mach. Learn. Res., 2019)

Optimal sequential decision making with probabilistic digital twins. - Christian Agrell; Kristina Rognlien Dahl; Andreas Hafver (CoRR, 2021)

Sequential Bayesian optimal experimental design for structural reliability analysis. - Christian Agrell; Kristina Rognlien Dahl (Stat. Comput., 2021)

Probabilistic machine learning and phenomenological knowledge. Developments for optimization under uncertainty in safety-critical systems. - Christian Agrell (2021)

Neural Networks based Conformal Prediction for Pipeline Structural Response. - Sara El Mekkaoui; Carla J. Ferreira; Juan Camilo Guevara Gómez; Christian Agrell; Nicholas James Vaughan; Hans Olav Heggen (COPA, 2023)

The Probabilistic Tsetlin Machine: A Novel Approach to Uncertainty Quantification. - Kuruge Darshana Abeyrathna; Sara El Mekkaoui; Andreas Hafver; Christian Agrell (ICAAI, 2024)

Assurance of AI-enabled systems. - Odd Ivar Haugen; Dag McGeorge; Tore Myhrvold; Christian Agrell; Andreas Hafver (ICAAI, 2024)

Enhancing Assurance of AI-enabled Systems through Uncertainty Quantification. - Sara El Mekkaoui; Christian Agrell; Andreas Hafver; Harmen Dijkstra (ICAAI, 2024)

Gaussian Process Surrogate Models for Efficient Estimation of Structural Response Distributions and Order Statistics. - Vegard Flovik; Sebastian Winter; Christian Agrell (CoRR, 2025)