Peer-reviewed articles
C. Aarset. Global optimality conditions for sensor placement, with extensions to binary low-rank A-optimal designs. IOP Inverse Problems. PDF
C. Aarset. A global optimum-informed greedy algorithm for A-optimal experimental design. Inverse Problems: Modelling and Simulation - Trends in Mathematics (2025). Springer PDF
C. Aarset, T. T. N. Nguyen. Bi-level regularization via iterative mesh refinement for aeroacoustics. Inverse Problems: Modelling and Simulation - Trends in Mathematics (2025). Springer PDF
C. Aarset, A. Habring, M. Holler, M. Mitter. Unsupervised energy disaggregation via convolutional sparse coding. IEEE Transactions on Consumer Electronics 70(1), 4303-4310 (2024). PDF
C. Aarset, M. Holler, T. T. N. Nguyen. Learning-informed parameter identification in nonlinear time-dependent PDEs. Applied Mathematics & Optimization 88, 76 (2023) PDF
C. Aarset, C. Pötzsche. Bifurcations in periodic integrodifference equations in C(Omega) I: Analytical results and applications. Discrete and Continuous Dynamical Systems Series B 26(1), 1-60 (2021). AIMS PDF
C. Aarset, C. Pötzsche. Bifurcations in periodic integrodifference equations in C(Omega) II: Discrete torus bifurcations. Communications on Pure & Applied Analysis 19(4), 1847-1874 (2020). AIMS PDF
C. Aarset. Bifurcations in periodic integrodifference equations PhD Thesis, University of Klagenfurt, 2020.
C. Aarset. On The Continuity of the Spectrum of Fields of Normal Operators Masters Thesis, University of Oslo, 2016.
First-order algorithms for binary optimal experimental design (upcoming), ENUMATH 2025, Heidelberg University, Germany.
Optimality criteria in sensor placement (2025), Applied Inverse Problems (AIP), FGV EMAp, Brazil.
Optimal experimental design for correlation data in aeroacoustics (2024), IFIP TC7 System Modeling and Optimization, University of Hamburg.
Optimal experimental design for correlation data in aeroacoustics (2024), 11th International Conference "Inverse Problems: Modeling and Simulation", Malta.
Optimal experimental design for correlation data in aeroacoustics (2024), European Conference on Computational Optimization (EUCCO), Heidelberg University, Germany.
Optimal experimental design for correlation data in aeroacoustics (2023), Applied Inverse Problems (AIP), University of Göttingen, Germany.
Energy disaggregation via iPALM-based convolutional sparse coding (2022), University of Göttingen, Germany.
Energy disaggregation via iPALM-based convolutional sparse coding (2021), Chemnitz Inverse Problems Symposium on tour, University of Klagenfurt, Austria.
Energy disaggregation via iPALM-based convolutional sparse coding (2021), Mini-Workshop KFU-TU, Technical university of Graz, Austria.
Bifurcation theory: Applications to real-world problems (2020), University of Graz, Austria.
Bifurcation theory: Applications to real-world problems (2020), University of Bergen, Norway.
Bifurcations in periodic integrodifference equations (2019), Dynamics, Equations and Applications (DEA), AGH University of Science and Technology, Krakow, Poland.
Analytical approach to bifurcation in IDEs (2019), University of Torun, Poland.
Introduction to integrodifference equations (2018), Nonlinear Analysis and Boundary Value Problems (NABVP), University of Santiago de Compostela, Spain.
3rd IMA Conference on Inverse Problems from Theory to Application, Edinburgh, May, 2022