Publications
- Everink, J. M., Zhang, C., Alghamdi, A. M. A., Laumont, R., Riis, N. A. B., & Jørgensen, J. S. (2025). A computational framework and implementation of implicit priors in Bayesian inverse problems. arXiv preprint arXiv:2509.11781. Submitted to ACM Transactions on Mathematical Software. arXiv
- Rud, M., Dong, Y., Everink, J. M., Järleblad, H., Jørgensen, J. S., Kernel, Q., Madsen, B., Podestà, M., Valentini, A., Salewski, M., and the TCV Team (2025). Bayesian inference of fast-ion distribution functions in TCV using fast-ion D-alpha spectroscopy. Submitted to Plasma Physics and Controlled Fusion.
- Zhang, C., Everink, J. M., & Jørgensen, J. S. (2025). Fast Gaussian processes under monotonicity constraints. arXiv preprint arXiv:2507.06677. Submitted to Journal of Computational Physics. arXiv
- Everink, J. M., Tama Amougou, B., & Pereyra M. (2025). Self-supervised conformal prediction for uncertainty quantification in imaging problems, Presented at SSVM2025. arXiv, Springer
- Everink, J. M., Dong, Y., & Andersen, M. S. (2024). The geometry and well-posedness of sparse regularized linear regression. arXiv preprint arXiv:2409.03461. Submitted to Inverse Problems. arXiv
- Alghamdi, A. M. A., Carøe, M. S., Everink, J. M., Jørgensen, J. S., Knudsen, K., Nielsen, J. T. K., … & Zhang, C. (2024). Spatial regularization and level-set methods for experimental electrical impedance tomography with partial data. Applied Mathematics for Modern Challenges, 0-0. AIMS
- Everink, J. M., Dong, Y., & Andersen, M. S. (2023). Sparse Bayesian inference with regularized Gaussian distributions. Inverse Problems, 39(11), 115004. IOP
- Everink, J. M., Dong, Y., & Andersen, M. S. (2023). Bayesian inference with projected densities. SIAM/ASA Journal on Uncertainty Quantification, 11(3), 1025-1043. SIAM
- Prasetya, W., Leek, C., Melkonian, O., ten Tusscher, J., van Bergen, J., Everink, J., … & van Zon, W. (2019, May). Having fun in learning formal specifications. In 2019 IEEE/ACM 41st International Conference on Software Engineering: Software Engineering Education and Training (ICSE-SEET) (pp. 192-196). IEEE. arXiv, IEEE
Theses
- Phd: Uncertainty Quantification for Inverse Problems with Sparsity-Promoting Implicit Priors. thesis
- MSc. Mathematical Sciences: One-bit Compressed Sensing with Generative Models. thesis
- BSc. Mathematics: Numerically Solving The Wave Equation Using The Finite Element Method. thesis
