Gladbach, P., Kopfer, E., &; Maas, J. (2020). Scaling limits of discrete optimal transport. SIAM Journal on Mathematical Analysis. Society for Industrial and Applied Mathematics.https://doi.org/10.1137/19M1243440 

Hikaru, I., Wojtan, C., Thuerey, N., Igarashi, T., &; Ando, R. (2020). Simulating liquids on dynamically warping grids. IEEE Transactions on Visualization and Computer Graphics. IEEE.https://doi.org/10.1109/TVCG.2018.2883628 

Li, X. (2020). Rotation of coupled cold molecules in the presence of a many-body environment. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:8958 

Zhang, R. (2020). Structure-aware computational design and its application to 3D printable volume scattering, mechanism, and multistability. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:8386 

Kukucka, J. (2020). Implementation of a hole spin qubit in Ge hut wires and dispersive spin sensing. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:7996 

Chatterjee, K., Katoen, J. P., Weininger, M., &; Winkler, T. (2020). Stochastic games with lexicographic reachability-safety objectives. In International Conference on Computer Aided Verification (Vol. 12225, pp. 398–420). Springer Nature.https://doi.org/10.1007/978-3-030-53291-8_21 

Dos Santos Caldas, P. R., Radler, P., Sommer, C. M., &; Loose, M. (2020). Computational analysis of filament polymerization dynamics in cytoskeletal networks. In P. Tran (Ed.), Methods in Cell Biology (Vol. 158, pp. 145–161). Elsevier.https://doi.org/10.1016/bs.mcb.2020.01.006 

Baranova, N. S., Radler, P., Hernández-Rocamora, V. M., Alfonso, C., Lopez Pelegrin, M. D., Rivas, G.,https://doi.org/10.1038/s41564-019-0657-5__Loose, M. (2020). Diffusion and capture permits dynamic coupling between treadmilling FtsZ filaments and cell division proteins. Nature Microbiology. Springer Nature.https://doi.org/10.1038/s41564-019-0657-5 

Vegter, G., &; Wintraecken, M. (2020). Refutation of a claim made by Fejes Tóth on the accuracy of surface meshes. Studia Scientiarum Mathematicarum Hungarica. Akadémiai Kiadó.https://doi.org/10.1556/012.2020.57.2.1454 

Shakiba, A., Goharshady, A. K., Hooshmandasl, M. R., &; Alambardar Meybodi, M. (2020). A note on belief structures and s-approximation spaces. Iranian Journal of Mathematical Sciences and Informatics. Iranian Academic Center for Education, Culture and Research.https://doi.org/10.29252/ijmsi.15.2.117 

Dareiotis, K., &; Gerencser, M. (2020). On the regularisation of the noise for the Euler-Maruyama scheme with irregular drift. Electronic Journal of Probability. Institute of Mathematical Statistics.https://doi.org/10.1214/20-EJP479 

Royer, A. (2020). Leveraging structure in Computer Vision tasks for flexible Deep Learning models. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:8390 

Henderson, P. M., Tsiminaki, V., &; Lampert, C. (2020). Leveraging 2D data to learn textured 3D mesh generation. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 7498–7507). Virtual: IEEE.https://doi.org/10.1109/CVPR42600.2020.00752 

Sinclair, S. A., &; Krämer, U. (2020). Generation of effective zinc-deficient agar-solidified media allows identification of root morphology changes in response to zinc limitation. Plant Signaling &; Behavior. Taylor &; Francis.https://doi.org/10.1080/15592324.2019.1687175 

Hensel, S., &; Rosati, T. (2020). Modelled distributions of Triebel–Lizorkin type. Studia Mathematica. Instytut Matematyczny.https://doi.org/10.4064/sm180411-11-2 

Dick, R. A., Xu, C., Morado, D. R., Kravchuk, V., Ricana, C. L., Lyddon, T. D.,https://doi.org/10.1371/journal.ppat.1008277__Schur, F. K. (2020). Structures of immature EIAV Gag lattices reveal a conserved role for I in lentivirus assembly. PLOS Pathogens. Public Library of Science.https://doi.org/10.1371/journal.ppat.1008277 

Tkadlec, J., Pavlogiannis, A., Chatterjee, K., &; Nowak, M. A. (2020). Limits on amplifiers of natural selection under death-Birth updating. PLoS Computational Biology. Public Library of Science.https://doi.org/10.1371/journal.pcbi.1007494 

Tkadlec, J. (2020). A role of graphs in evolutionary processes. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:7196 

Shevchenko, A., &; Mondelli, M. (2020). Landscape connectivity and dropout stability of SGD solutions for over-parameterized neural networks. In Proceedings of the 37th International Conference on Machine Learning (Vol. 119, pp. 8773–8784). ML Research Press.

Akopyan, A., &; Edelsbrunner, H. (2020). The weighted mean curvature derivative of a space-filling diagram. Computational and Mathematical Biophysics. De Gruyter.https://doi.org/10.1515/cmb-2020-0100