| PCS--A Roadmap for Exoearth Imaging with the ELT M Kasper, NC Urra, P Pathak, M Bonse, J Nousiainen, B Engler, ... arXiv preprint arXiv:2103.11196, 2021 | 108 | 2021 |
| Maximum a posteriori probability estimates in infinite-dimensional Bayesian inverse problems T Helin, M Burger Inverse Problems 31 (8), 085009, 2015 | 86 | 2015 |
| A variational reconstruction method for undersampled dynamic x-ray tomography based on physical motion models M Burger, H Dirks, L Frerking, A Hauptmann, T Helin, S Siltanen Inverse Problems 33 (12), 124008, 2017 | 59 | 2017 |
| Adaptive optics control using model-based reinforcement learning J Nousiainen, C Rajani, M Kasper, T Helin Optics Express 29 (10), 15327-15344, 2021 | 52 | 2021 |
| Sparsity-promoting and edge-preserving maximum a posteriori estimators in non-parametric Bayesian inverse problems S Agapiou, M Burger, M Dashti, T Helin Inverse Problems 34 (4), 045002, 2018 | 49 | 2018 |
| Correlation based passive imaging with a white noise source T Helin, M Lassas, L Oksanen, T Saksala Journal de Mathématiques Pures et Appliquées 116, 132-160, 2018 | 44 | 2018 |
| Toward on-sky adaptive optics control using reinforcement learning-model-based policy optimization for adaptive optics J Nousiainen, C Rajani, M Kasper, T Helin, SY Haffert, C Vérinaud, ... Astronomy & Astrophysics 664, A71, 2022 | 42 | 2022 |
| An inverse random source problem in a stochastic fractional diffusion equation P Niu, T Helin, Z Zhang Inverse Problems 36 (4), 045002, 2020 | 39 | 2020 |
| Finite element-wavelet hybrid algorithm for atmospheric tomography M Yudytskiy, T Helin, R Ramlau JOSA A 31 (3), 550-560, 2014 | 39 | 2014 |
| Wavelet methods in multi-conjugate adaptive optics T Helin, M Yudytskiy Inverse Problems 29 (8), 085003, 2013 | 37 | 2013 |
| Simultaneous reconstruction of emission and attenuation in passive gamma emission tomography of spent nuclear fuel R Backholm, TA Bubba, C Bélanger-Champagne, T Helin, P Dendooven, ... arXiv preprint arXiv:1905.03849, 2019 | 30 | 2019 |
| Hierarchical models in statistical inverse problems and the Mumford–Shah functional T Helin, M Lassas Inverse problems 27 (1), 015008, 2010 | 29 | 2010 |
| Inverse problems for heat equation and space–time fractional diffusion equation with one measurement T Helin, M Lassas, L Ylinen, Z Zhang Journal of Differential Equations 269 (9), 7498-7528, 2020 | 28 | 2020 |
| Inverse scattering for a random potential P Caro, T Helin, M Lassas Analysis and Applications 17 (04), 513-567, 2019 | 28 | 2019 |
| Inverse random source problems for time-harmonic acoustic and elastic waves J Li, T Helin, P Li Communications in Partial Differential Equations 45 (10), 1335-1380, 2020 | 27 | 2020 |
| Rates of contraction of posterior distributions based on p-exponential priors S Agapiou, M Dashti, T Helin | 25 | 2021 |
| A frequency dependent preconditioned wavelet method for atmospheric tomography M Yudytskiy, T Helin, R Ramlau Third AO4ELT Conference - Adaptive Optics for Extremely Large Telescopes, 2013 | 24 | 2013 |
| On infinite-dimensional hierarchical probability models in statistical inverse problems T Helin Inverse problems and imaging 3 (4), 567-597, 2009 | 22 | 2009 |
| Fuel rod classification from Passive Gamma Emission Tomography (PGET) of spent nuclear fuel assemblies R Virta, R Backholm, TA Bubba, T Helin, M Moring, S Siltanen, ... arXiv preprint arXiv:2009.11617, 2020 | 21 | 2020 |
| Non-asymptotic error estimates for the Laplace approximation in Bayesian inverse problems T Helin, R Kretschmann Numerische Mathematik 150 (2), 521-549, 2022 | 20 | 2022 |
Matti LassasProfessor of applied mathematics, University of Helsinki, FinlandVerified email at helsinki.fi
