Publications

List of our publications.

Sahlström, Teemu. Tarvainen, Tanja. (2023). Utilizing Variational Autoencoders in the Bayesian Inverse Problem of Photoacoustic Tomography. Siam journal on imaging sciences, 16 (1) , 89-110. 10.1137/22m1489897.

  • Mozumder , M , Hauptmann , A , Nissilä , I , Arridge , S R & Tarvainen , T 2022, ' A model-based iterative learning approach for diffuse optical tomography ' , IEEE Transactions on Medical Imaging , vol. 41 , no. 5 , pp. 1289-1299 . https://doi.org/10.1109/TMI.2021.3136461
  •  Nousiainen, J., Engler, B., Kasper, M., Helin, T., Heritier, C. T., & Rajani, C. (2022). Advances in model-based reinforcement learning for Adaptive Optics control. In L. Schreiber, D. Schmidt, & E. Vernet (Eds.), Adaptive Optics Systems VIII (Vol. 12185). (Proceedings of SPIE, the International Society for Optical Engineering). SPIE. https://doi.org/10.1117/12.2630317
  • Balehowsky, T., Kujanpää, A., Lassas, M., & Liimatainen, T. (2022). An Inverse Problem for the Relativistic Boltzmann Equation. Communications in Mathematical Physics, 396(3), 983-1049. https://doi.org/10.1007/s00220-022-04486-8
  • Suuronen, J., Chada, N.K. & Roininen, L. Cauchy Markov random field priors for Bayesian inversion. Stat Comput 32, 33 (2022). https://doi.org/10.1007/s11222-022-10089-z
  • Liimatainen , T & Oksanen , L 2022 , ' COUNTEREXAMPLES TO INVERSE PROBLEMS FOR THE WAVE EQUATION ' , Inverse problems and imaging , vol. 16 , no. 2 , pp. 467-479 . https://doi.org/10.3934/ipi.2021058
  • E. Maneas et al., "Deep Learning for Instrumented Ultrasonic Tracking: From Synthetic Training Data to In Vivo Application," in IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, vol. 69, no. 2, pp. 543-552, Feb. 2022, doi: 10.1109/TUFFC.2021.3126530.
  • Chen, X., Lassas, M., Oksanen, L., & Paternain, G. P. (2022). Detection of Hermitian connections in wave equations with cubic non-linearity. European Mathematical Society. Journal, 24(7), 2191-2232. https://doi.org/10.4171/JEMS/1136
  • M. Mozumder, A. Hauptmann, S. R. Arridge, and T. Tarvainen, "Diffuse optical tomography utilizing model-based learning," in Biophotonics Congress: Biomedical Optics 2022 (Translational, Microscopy, OCT, OTS, BRAIN), Technical Digest Series (Optica Publishing Group, 2022), paper JTu3A.10.
  • Helin , T , Hyvonen , N & Puska , J P 2022 , ' Edge-Promoting Adaptive Bayesian Experimental Design for X-ray Imaging ' , SIAM Journal on Scientific Computing , vol. 44 , no. 3 , pp. B506-B530 . https://doi.org/10.1137/21M1409330
  • Hamilton SJ, Muller PA, Isaacson D, Kolehmainen V, Newell J, Rajabi Shishvan O, Saulnier G, Toivanen J. Fast absolute 3D CGO-based electrical impedance tomography on experimental tank data. Physiol Meas. 2022 Dec 6;43(12):10.1088/1361-6579/aca26b. doi: 10.1088/1361-6579/aca26b. PMID: 36374007; PMCID: PMC10028616. 
  • Hannukainen, A., Malinen, J., & Ojalammi, A. (2022). Distributed solution of Laplacian eigenvalue problems. SIAM Journal on Numerical Analysis, 60(1), 76-103. 
  • Puthawala, M., Kothari, K., Lassas, M., Dokmanić, I., & De Hoop, M. (2022). Globally injective relu networks. The Journal of Machine Learning Research, 23(1), 4544-4598. 
  • Ross, S., Arjas, A., Virtanen, I. I., Sillanpää, M. J., Roininen, L., & Hauptmann, A. (2022). Hierarchical deconvolution for incoherent scatter radar data. Atmospheric Measurement Techniques, 15(12), 3843-3857. 
  • Taskinen, H., Väisänen, A., Hatakka, L., Virtanen, T. H., Lähivaara, T., Arola, A., ... & Lipponen, A. (2022). High‐Resolution Post‐Process Corrected Satellite AOD. Geophysical Research Letters, 49(18), e2022GL099733. 
  • Lu, S., Salo, M., & Xu, B. (2022). Increasing stability in the linearized inverse Schrödinger potential problem with power type nonlinearities. Inverse Problems, 38(6), 065009.
  • Kurylev, Y., Lassas, M., Oksanen, L., & Uhlmann, G. (2014). Inverse problem for Einstein-scalar field equations. arXiv preprint arXiv:1406.4776. 
  • Liimatainen, T., Lin, Y. H., Salo, M., & Tyni, T. (2022). Inverse problems for elliptic equations with fractional power type nonlinearities. Journal of Differential Equations, 306, 189-219. 
  • Simioni, M., Arcidiacono, C., Wagner, R., Grazian, A., Gullieuszik, M., Portaluri, E., ... & Salo, A. (2022, August). LBT SOUL data as a science test bench for MICADO PSF-R tool. In Adaptive Optics Systems VIII (Vol. 12185, pp. 92-100). SPIE. 
  • Krupchyk, K., Liimatainen, T., & Salo, M. (2022). Linearized Calderón problem and exponentially accurate quasimodes for analytic manifolds. Advances in Mathematics, 403, 108362. 
  • Alexakis, S., Feizmohammadi, A., & Oksanen, L. (2022). Lorentzian Calderón problem under curvature bounds. Inventiones mathematicae, 229(1), 87-138. 
  • Gondzio, J., Lassas, M., Latva-Äijö, S. M., Siltanen, S., & Zanetti, F. (2022). Material-separating regularizer for multi-energy x-ray tomography. Inverse Problems, 38(2), 025013. 
  • Jauhiainen, J., Seppänen, A., & Valkonen, T. (2022). Mumford–Shah regularization in electrical impedance tomography with complete electrode model. Inverse Problems, 38(6), 065004. 
  • Arjas, A., Alles, E. J., Maneas, E., Arridge, S., Desjardins, A., Sillanpää, M. J., & Hauptmann, A. (2022). Neural network kalman filtering for 3-d object tracking from linear array ultrasound data. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 69(5), 1691-1702. 
  • Mathew, B., Hauptmann, A., Léon, J., & Sillanpää, M. J. (2022). NeuralLasso: Neural Networks Meet Lasso in Genomic Prediction. Frontiers in Plant Science, 13, 800161. 
  • Simioni, M., Arcidiacono, C., Wagner, R., Grazian, A., Gullieuszik, M., Portaluri, E., ... & Salo, A. (2022). Point spread function reconstruction for SOUL+ LUCI LBT data. Journal of Astronomical Telescopes, Instruments, and Systems, 8(3), 038003-038003. 
  • Kow, P. Z., Larson, S., Salo, M., & Shahgholian, H. (2022). Quadrature domains for the Helmholtz equation with applications to non-scattering phenomena. Potential Analysis, 1-38. 28. Bosi, R., Kurylev, Y., & Lassas, M. (2022). Reconstruction and stability in Gelfand’s inverse interior spectral problem. Analysis & PDE, 15(2), 273-326.
  • 42. Hamilton, S. J., Isaacson, D., Kolehmainen, V., Muller, P. A., Toivanen, J., & Bray, P. F. (2021). 3D electrical impedance tomography reconstructions from simulated electrode data using direct inversion texp and Calderón methods. Inverse problems and imaging (Springfield, Mo.), 15(5), 1135. 
  • Sofieva, V. F., Lee, H. S., Tamminen, J., Lerot, C., Romahn, F., & Loyola, D. G. (2021). A method for random uncertainties validation and probing the natural variability with application to TROPOMI on board Sentinel-5P total ozone measurements. Atmospheric Measurement Techniques, 14(4), 2993-3002. 
  • Mozumder, M., Hauptmann, A., Nissilä, I., Arridge, S. R., & Tarvainen, T. (2021). A model-based iterative learning approach for diffuse optical tomography. IEEE Transactions on Medical Imaging, 41(5), 1289-1299. 
  • Raumonen, P., Brede, B., Lau, A., & Bartholomeus, H. (2021, July). A shortest path based tree isolation method for uav lidar data. In 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS (pp. 724-727). IEEE. 
  • Smyl, D., Tallman, T. N., Liu, D., & Hauptmann, A. (2021). An efficient quasi-Newton method for nonlinear inverse problems via learned singular values. IEEE Signal Processing Letters, 28, 748-752. 
  • He, Q., & Pursiainen, S. (2021). An extended application ‘Brain Q’processing EEG and MEG data of finger stimulation extended from ‘Zeffiro’based on machine learning and signal processing. Cognitive Systems Research, 69, 50-66. 
  • Sorsa, L. I., Pursiainen, S., & Eyraud, C. (2021). Analysis of full microwave propagation and backpropagation for a complex asteroid analogue via single-point quasi-monostatic data. Astronomy & Astrophysics, 645, A73. 
  • Salminen, T., Lehtinen, K. E., Kaipio, J. P., Russell, V., & Seppänen, A. (2022). Application of finite element method to General Dynamic Equation of Aerosols–Comparison with classical numerical approximations. Journal of Aerosol Science, 160, 105902. 
  • Candiani, V., Hyvönen, N., Kaipio, J. P., & Kolehmainen, V. (2021). Approximation error method for imaging the human head by electrical impedance tomography. Inverse Problems, 37(12), 125008. 
  • Virtanen, I. I., Tesfaw, H. W., Roininen, L., Lasanen, S., & Aikio, A. (2021). Bayesian filtering in incoherent scatter plasma parameter fits. Journal of Geophysical Research: Space Physics, 126(3), e2020JA028700. 
  • Sahlström, T., Pulkkinen, A., Leskinen, J., & Tarvainen, T. (2021, June). Computationally efficient forward model for photoacoustic tomography. In European Conference on Biomedical Optics (pp. ES1C-8). Optica Publishing Group. 
  • Hanhela, M., Gröhn, O., Kettunen, M., Niinimäki, K., Vauhkonen, M., & Kolehmainen, V. (2021). Data-driven regularization parameter selection in dynamic MRI. Journal of Imaging, 7(2), 38. 
  • Krotkov, N., Realmuto, V., Li, C., Seftor, C., Li, J., Brentzel, K., ... & Kirkendall, J. (2021). Day–Night Monitoring of Volcanic SO2 and Ash Clouds for Aviation Avoidance at Northern Polar Latitudes. Remote Sensing, 13(19), 4003. 
  • Bubba, T. A., Galinier, M., Lassas, M., Prato, M., Ratti, L., & Siltanen, S. (2021). Deep neural networks for inverse problems with pseudodifferential operators: An application to limited-angle tomography. 
  • Beyer, R. M., Basler, D., Raumonen, P., Kaasalainen, M., & Pretzsch, H. (2021). Do trees have constant branch divergence angles?. Journal of theoretical biology, 512, 110567. 
  • Schrader, S., Westhoff, A., Piastra, M. C., Miinalainen, T., Pursiainen, S., Vorwerk, J., ... & Engwer, C. (2021). DUNEuro—A software toolbox for forward modeling in bioelectromagnetism. PloS one, 16(6), e0252431. 
  • Hosseini, M., Kaasinen, A., Link, G., Lähivaara, T., & Vauhkonen, M. (2021). Electrical capacitance tomography to measure moisture distribution of polymer foam in a microwave drying process. IEEE sensors journal, 21(16), 18101-18114. 
  • Martin-Ducup, O., Mofack, G., Wang, D., Raumonen, P., Ploton, P., Sonké, B., ... & Pélissier, R. (2021). Evaluation of automated pipelines for tree and plot metric estimation from TLS data in tropical forest areas. Annals of Botany, 128(6), 753-766. 
  • Salo, M., & Shahgholian, H. (2021). Free boundary methods and non-scattering phenomena. Research in the Mathematical Sciences, 8(4), 58. 
  • Hauptmann, A., & Smyl, D. (2021). Fusing electrical and elasticity imaging. Philosophical Transactions of the Royal Society A, 379(2200), 20200194. 
  • Damialis, A., Gilles, S., Sofiev, M., Sofieva, V., Kolek, F., Bayr, D., ... & Traidl-Hoffmann, C. (2021). Higher airborne pollen concentrations correlated with increased SARS-CoV-2 infection rates, as evidenced from 31 countries across the globe. Proceedings of the National Academy of Sciences, 118(12), e2019034118. 
  • Hauptmann, A., Öktem, O., & Schönlieb, C. (2021). Image reconstruction in dynamic inverse problems with temporal models. Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging: Mathematical Imaging and Vision, 1-31. 
  • O’Sullivan, H., Raumonen, P., Kaitaniemi, P., Perttunen, J., & Sievänen, R. (2021). Integrating terrestrial laser scanning with functional–structural plant models to investigate ecological and evolutionary processes of forest communities. Annals of Botany, 128(6), 663-684. 
  • Chen, X., Lassas, M., Oksanen, L., & Paternain, G. P. (2021). Inverse problem for the Yang–Mills equations. Communications in Mathematical Physics, 384, 1187-1225. 
  • Lassas, M., Liimatainen, T., Lin, Y. H., & Salo, M. (2021). Inverse problems for elliptic equations with power type nonlinearities. Journal de mathématiques pures et appliquées, 145, 44-82. 
  • Feizmohammadi, A., Lassas, M., & Oksanen, L. (2021). Inverse problems for nonlinear hyperbolic equations with disjoint sources and receivers. In Forum of Mathematics, Pi (Vol. 9, p. e10). Cambridge University Press. 
  • Arridge, S., Fernsel, P., & Hauptmann, A. (2020). Joint reconstruction and low-rank decomposition for dynamic inverse problems. arXiv preprint arXiv:2005.14042
  • Arif, M. Z., Lehtikangas, O., Seppänen, A., Kolehmainen, V., & Vauhkonen, M. (2021). Joint reconstruction of conductivity and velocity in two-phase flows using electromagnetic flow tomography and electrical tomography: A simulation study. IEEE Transactions on Instrumentation and Measurement, 70, 1-17. 
  • Smyl, D., Tallman, T. N., Black, J. A., Hauptmann, A., & Liu, D. (2021). Learning and correcting non-Gaussian model errors. Journal of Computational Physics, 432, 110152. 
  • Lorente, A., Borsdorff, T., Butz, A., Hasekamp, O., Schneider, A., Wu, L., ... & Landgraf, J. (2021). Methane retrieved from TROPOMI: improvement of the data product and validation of the first 2 years of measurements. Atmospheric Measurement Techniques, 14(1), 665-684.
  • Koponen, J., Lähivaara, T., Kaipio, J., & Vauhkonen, M. (2021). Model reduction in acoustic inversion by artificial neural network. The Journal of the Acoustical Society of America, 150(5), 3435-3444. 
  • Toivanen, J., Hänninen, A., Savolainen, T., Forss, N., & Kolehmainen, V. (2021). Monitoring hemorrhagic strokes using EIT. In Bioimpedance and Spectroscopy (pp. 271-298). Academic Press. 
  • Lunz, S., Hauptmann, A., Tarvainen, T., Schonlieb, C. B., & Arridge, S. (2021). On learned operator correction in inverse problems. SIAM Journal on Imaging Sciences, 14(1), 92-127. 
  • Lassas, M., Liimatainen, T., Lin, Y. H., & Salo, M. (2020). Partial data inverse problems and simultaneous recovery of boundary and coefficients for semilinear elliptic equations. Revista Matemática Iberoamericana, 37(4), 1553-1580. 
  • Agapiou, S., Dashti, M., & Helin, T. (2021). Rates of contraction of posterior distributions based on p-exponential priors. 
  • Rezaei, A., Lahtinen, J., Neugebauer, F., Antonakakis, M., Piastra, M. C., Koulouri, A., ... & Pursiainen, S. (2021). Reconstructing subcortical and cortical somatosensory activity via the RAMUS inverse source analysis technique using median nerve SEP data. Neuroimage, 245, 118726. 
  • Brewin, R. J., Sathyendranath, S., Platt, T., Bouman, H., Ciavatta, S., Dall'Olmo, G., ... & Walker, P. (2021). Sensing the ocean biological carbon pump from space: A review of capabilities, concepts, research gaps and future developments. Earth-Science Reviews, 217, 103604.
  • Paldanius, A., Dekdouk, B., Toivanen, J., Kolehmainen, V., & Hyttinen, J. (2021). Sensitivity analysis highlights the importance of accurate head models for electrical impedance tomography monitoring of intracerebral hemorrhagic stroke. IEEE Transactions on Biomedical Engineering, 69(4), 1491-1501. 
  • Burger, M., Hauptmann, A., Helin, T., Hyvönen, N., & Puska, J. P. (2021). Sequentially optimized projections in x-ray imaging. Inverse Problems, 37(7), 075006. 
  • Agnelli, J. P., Kolehmainen, V., Lassas, M. J., Ola, P., & Siltanen, S. (2021). Simultaneous reconstruction of conductivity, boundary shape, and contact impedances in electrical impedance tomography. SIAM Journal on Imaging Sciences, 14(4), 1407-1438. 
  • Meroño, C. J., Potenciano-Machado, L., & Salo, M. (2021, November). The fixed angle scattering problem with a first-order perturbation. In Annales Henri Poincaré (Vol. 22, pp. 3699-3746). Springer International Publishing. 
  • Brede, B., Barbier, N., Bartholomeus, H., Bartolo, R., Calders, K., Derroire, G., ... & Herold, M. (2021, December). UAV-Laser Scanning based Metrics for Individual Tree Volume Estimation across Forest Types. In # PLACEHOLDER_PARENT_METADATA_VALUE# (pp. 68-70). 
  • Noël, S., Reuter, M., Buchwitz, M., Borchardt, J., Hilker, M., Bovensmann, H., ... & Warneke, T. (2021). XCO 2 retrieval for GOSAT and GOSAT-2 based on the FOCAL algorithm. Atmospheric Measurement Techniques, 14(5), 3837-3869. 

 

  • Tyni, Teemu. Numerical results for Saito's uniqueness theorem in inverse scattering theory, Inverse Problems, 2020, 35(6), 065002, DOI: 10.1088/1361-6420/ab7d2d
  • William, Rundell; Zhidong, Zhang. On the Identification of Source Term in the Heat Equation from Sparse Data. SIAM Journal Mathematical Analysis, 2020, 52(2), 1526-1548, DOI: 10.1137/19M1279915
  • Garde, Henrik; Hyvönen, Nuutti; Kuutela, Topi. On regularity of the logarithmic forward map of electrical impedance tomography, SIAM Journal on Mathematical Analysis, 2020, 52(1), 197-220, DOI: 10.1137/19M1256476
  • Garde, Henrik; Hyvönen, Nuutti. Optimal depth-dependent distinguishability bounds for electrical impedance tomography in arbitrary dimension, SIAM Journal on Applied Mathematics, 2020, 80(1), 20-43, DOI: 10.1137/19M1258761
  • Backholm, Rasmus; Bubba, Tatiana A.; Bélanger-Champagne, Camille; Helin, Tapio; Dendooven, Peter; Siltanen, Samuli. Simultaneous reconstruction of emission and attenuation in passive gamma emission tomography of spent nuclear fuel, Inverse problems and imaging, 2020, 14(2), 317-337, DOI: 10.3934/ipi.2020014
  • Shcherbacheva, Anna; Balehowsky, Tracey; Kubečka, Jakub; Olenius, Tinja; Helin, Tapio; Laine, Marko; Haario, Heikki; Kurtén, Theo; Vehkamäki, Hanna. Identification of molecular cluster evaporation rates, enthalpies and entropies by Monte Carlo method, Atmospheric Chemistry and Physics, 2020, Accepted, In Review, DOI: 10.5194/acp-2019-1036
  • Alexakis, Spyros; Balehowsky, Tracey; Nachman, Adrian. Determining a Riemannian metric from areas of minimal surfaces, Advances in Mathematics, 2020, 366(3),107025. DOI: 10.1016/j.aim.2020.107025
  • Rakesh; Salo, Mikko. The fixed angle scattering problem and wave equation inverse problems with two measurements. Inverse Problems, 2020, 36(3), 035005, DOI: 10.1088/1361-6420/ab23a2
  • Rüland, Angkana; Salo, Mikko. Quantitative approximation properties for the fractional heat equation, Mathematical Control & Related Fields, 2020, 10(1), 1-26, DOI: 10.3934/mcrf.201902
  • Meroño, Cristobál; Potenciano-Machado, Leyter; Salo, Mikko. Resolvent estimates for the magnetic Schrödinger operator in dimension n ≥ 2, Revista Matemática Complutence, 2020, 33, 619–641, DOI: 10.1007/s13163-019-00316-z
  • Rüland, Angkana; Salo, Mikko. The fractional Calderón problem: low regularity and stability. Nonlinear Analysis, 2020, 193, 111529, 1-56, DOI: 10.1016/j.na.2019.05.010
  • Angulo, Pablo; Faraco, Daniel; Guijarro, Luis; Salo, Mikko. Limiting Carleman weights and conformally transversally anisotropic manifolds, Transaction American Mathematical Society, 2020, 373, 5171-5197, DOI: 10.1090/tran/8072
  • Tick, Jenni; Pulkkinen, Aki; Tarvainen, Tanja. Modelling of errors due to speed of sound variations in photoacoustic tomography using a Bayesian framework, Biomedical Physics & Engineering Express, 2020, 6, 015003, DOI: 10.1088/2057-1976/ab57d1
  • Mozumder, Meghdoot; Tarvainen, Tanja. Time-domain diffuse optical tomography utilizing truncated Fourier series approximation, Journal of the Optical Society of America A, 2020, 37(2), 182-191, DOI: 10.1364/JOSAA.37.000182
  • Gopalakrishnan, Ranjith; Seppänen, Aku; Kukkonen, Mikko; Packalen, Petteri. Utility of Image Point Cloud Data towards Generating Enhanced Multitemporal Multisensor Land Cover Maps”, International Journal of Applied Earth Observations and Geoinformation, 2020, 86, 102012, DOI: 10.1016/j.jag.2019.102012
  • Blåsten, Emilia; Vesalainen, Esa V. Non-Scattering Energies and Transmission Eigenvalues in Hn. Annales Academiæ Scientiarum Fennicæ Mathematica, 2020, 45, 1, 547–576. DOI: https://doi.org/10.5186/aasfm.2020.4522
  • Blåsten, Emilia; Li, Hongjie; Liu, Hongyu; Wang, Yuliang. Localization and geometrization in plasmon resonances and geometric structures of Neumann-Poincaré eigenfunctions, ESAIM: Mathematical Modelling and Numerical Analysis, 2020, 54, 3, 957-976. DOI: 10.1051/m2an/2019091
  • Karppinen, Tomi; Lamminpää, Otto; Tukiainen, Simo; Kivi, Rigel; Heikkinen, Pauli; Hatakka, Juha; Laine, Marko; Chen, Huilin; Lindqvist, Hannakaisa; Tamminen, Johanna. Vertical Distribution of Arctic Methane in 2009–2018 Using Ground-Based Remote Sensing. Remote Sensing, 2020, 12(6), 1-25, DOI: 10.3390/rs12060917
  • Garde, Henrik. Reconstruction of piecewise constant layered conductivities in electrical impedance tomography, Communications in Partial Differential Equations, 2020, published online, DOI: 10.1080/03605302.2020.1760884
  • Duncan, Bryan N.; Ott, Lesley E.; Abshire, James B.; Brucker, Ludovic; Carroll, Mark L.; Carton, James; Comiso, Josefino C.;. Dinnat, Emmanuel P.; Forbes, Bruce C.; Gonsamo, Alemu; Gregg, Watson W.; Hall, Dorothy K.; Ialongo, Iolanda; Jandt, Randi; Kahn, Ralph A.; Karpechko, Alexey; Kawa, Stephan R; Kato, Seiji; Kumpula, Timo; Kyrölä, Erkki; Loboda, Tatiana V.; McDonald, Kyle C.; Montesano, Paul M.; Nassar, Ray; Neigh, Christopher S.R; Parkinson, Claire L.; Poulter, Benjamin; Pulliainen, Jouni; Rautiainen, Kimmo; Rogers, Brendan M.; Rousseaux, Cecile S.; Soja, Amber J; Steiner, Nicholas; Tamminen, Johanna, Taylor, Patrick C.; Tzortziou, Maria A.; Virta, Henrik; Wang, James S.; Watts, Jennifer D.; Winker, David M.; Wu, Dong L. Space- Based Observations for Understanding Changes in the Arctic-Boreal Zone. Reviews of Geophysics, 2020, 58(1):e2019RG000652, DOI: 10.1029/2019RG000652
  • Janssens-Maenhout, G.; Pinty, B.; Dowell, M.; Zunker, H.; Andersson, E.; Balsamo, G.; Bzy, J.-L.; Brunhes, T.; Bsch, H.; Bojkov, B.; Brunner, D.; Buchwitz, M.; Crisp, D.; Ciais, P.; Counet, P.; Dee, D.; Denier van der Gon, H.; Dolman, H.; Drinkwater, M.; Dubovik, O.; Engelen, R.; Fehr, T.; Fernandez, V.; Heimann, M.; Holmlund, K.; Houweling, S.; Husband, R.; Juvyns, O.; Kentarchos, A.; Landgraf, J.; Lang, R; Löscher, A., Marshall, J.; Meijer, Y.; Nakajima, M.; Palmer, P.I.; Peylin, P.; Rayner, P.; Scholze, M.; Sierk, B.; Tamminen, J.; Veefkind, P. Towards an operational anthropogenic CO2 emissions monitoring and verification support capacity. Bulletin of the American Meteorological Society, 2020, published online. DOI: 10.1175/BAMS-D-19-0017.1
  • Monterrubio-Gómez, Karla; Roininen, Lassi; Wade, Sara; Damoulas, Theodoros; Girolami, Mark. Posterior inference for sparse hierarchical non-stationary models. Computational Statistics & Data Analysis, 2020, 148, 106954. DOI: 10.1016/j.csda.2020.106954
  • Muhumuza, Kenneth; Huttunen, Janne M. J.; Roininen, Lassi; Lähivaara, Timo. A Bayesian- based approach to improving acoustic Born waveform inversion of seismic data for viscoelastic media. Inverse Problems, 2020, in press, DOI: 10.1088/1361- 6420/ab8f81
  • Ekblom, Madeleine; Tuppi, Lauri; Shemyakin, Vladimir; Haario, Heikki; Järvinen, Heikki. Algorithmic tuning of spread–skill relationship in ensemble forecasting systems. Quarterly Journal of the Royal Meteorological Society, 2020, 146(727), 598-612, DOI: 10.1002/qj.3695
  • Kazarnikov, Alexey; Haario, Heikki. Statistical approach for parameter identification by Turing patterns. Journal of Theoretical Biology, 2020, In press, DOI: 10.1016/j.jtbi.2020.110319
  • Niu, Pingping; Helin, Tapio; Zhang, Zhedong. An inverse random source problem in a stochastic fractional diffusion equation. Inverse Problems, 2020, 36(4), 045002, 1-24, DOI: 10.1088/1361-6420/ab532c
  • Helin, Tapio; Dunlop, Matthew M.; Stuart, Andrew, M. Hyperparameter Estimation in Bayesian MAP Estimation: Parametrizations and Consistency. SMAI Journal of Computational Mathematics, 2020, 6, 69-100, DOI: https://smai-jcm.centre-mersenne.org/article/SMAI-JCM_2020__6__69_0.pdf
  • Covi, Giovanni. Inverse problems for a fractional conductivity equation, Nonlinear Analysis, 2020, 193, 111418, DOI: 10.1016/j.na.2019.01.008
  • Krishna Moorthy, Sruthi M.; Raumonen, Pasi; Van den Bulcke, Jan; Calders, Kim; Verbeeck, Hans. Terrestrial laser scanning for non-destructive estimates of liana stem biomass, Forest Ecology and Management, 2020, 456, DOI: 10.1016/j.foreco.2019.117751
  • Hanuš, Josef; Vernazza, Pierre; Viikinkoski, Matti; Ferrais, Marin; Rambaux, N.; Podlewska - Gaca, Edyta; Drouard, Alexis; Jorda, Laurent; Jehin, Emmanuel; Carry, Benoît; Marsset, Michaël; Marchis, Franck; Warner, B.; Behrend, R.; Asenjo, V.; Berger, N.; Bronikowska, M. Interamnia: 704 a transitional object between a dwarf planet and a typical irregular-shaped minor body, Astronomy Astrophysics, 2020, 633 (A65), 1-17, DOI: 10.1051/0004-6361/201936639
  • Vernazza, Pierre; Jorda, Laurent; Ševeček, P.; Bro¸, M.; Viikinkoski, Matti; Hanu, Josef; Carry, B.; Drouard, Alexis; Ferrais, Marin; Marsset, M.; Marchis, F.; Birlan, M.; Podlewska - Gaca, Edyta; Jehin, Emmanuel; Bartczak, P.; Dudzinski, G. A basin-free spherical shape as an outcome of a giant impact on asteroid Hygiea, Nature Astronomy, 2020, 4, 136-141, DOI: https://doi.org/10.1038/s41550-019-0915-8
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