R. Grah and T. Friedlander, “Maximizing crosstalk.” Public Library of Science, 2020.

B. Kragl, “Verifying concurrent programs: Refinement, synchronization, sequentialization,” Institute of Science and Technology Austria, 2020.

F. Locatello et al., “Object-centric learning with slot attention,” in Advances in Neural Information Processing Systems, Virtual, 2020, vol. 33, pp. 11525–11538.

P. Gladbach, E. Kopfer, and J. Maas, “Scaling limits of discrete optimal transport,” SIAM Journal on Mathematical Analysis, vol. 52, no. 3. Society for Industrial and Applied Mathematics, pp. 2759–2802, 2020.

I. Hikaru, C. Wojtan, N. Thuerey, T. Igarashi, and R. Ando, “Simulating liquids on dynamically warping grids,” IEEE Transactions on Visualization and Computer Graphics, vol. 26, no. 6. IEEE, pp. 2288–2302, 2020.

X. Li, “Rotation of coupled cold molecules in the presence of a many-body environment,” Institute of Science and Technology Austria, 2020.

R. Zhang, “Structure-aware computational design and its application to 3D printable volume scattering, mechanism, and multistability,” Institute of Science and Technology Austria, 2020.

J. Kukucka, “Implementation of a hole spin qubit in Ge hut wires and dispersive spin sensing,” Institute of Science and Technology Austria, 2020.

K. Chatterjee, J. P. Katoen, M. Weininger, and T. Winkler, “Stochastic games with lexicographic reachability-safety objectives,” in International Conference on Computer Aided Verification, 2020, vol. 12225, pp. 398–420.

P. R. Dos Santos Caldas, P. Radler, C. M. Sommer, and M. Loose, “Computational analysis of filament polymerization dynamics in cytoskeletal networks,” in Methods in Cell Biology, vol. 158, P. Tran, Ed. Elsevier, 2020, pp. 145–161.

N. S. Baranova et al., “Diffusion and capture permits dynamic coupling between treadmilling FtsZ filaments and cell division proteins,” Nature Microbiology, vol. 5. Springer Nature, pp. 407–417, 2020.

G. Vegter and M. Wintraecken, “Refutation of a claim made by Fejes Tóth on the accuracy of surface meshes,” Studia Scientiarum Mathematicarum Hungarica, vol. 57, no. 2. Akadémiai Kiadó, pp. 193–199, 2020.

A. Shakiba, A. K. Goharshady, M. R. Hooshmandasl, and M. Alambardar Meybodi, “A note on belief structures and s-approximation spaces,” Iranian Journal of Mathematical Sciences and Informatics, vol. 15, no. 2. Iranian Academic Center for Education, Culture and Research, pp. 117–128, 2020.

K. Dareiotis and M. Gerencser, “On the regularisation of the noise for the Euler-Maruyama scheme with irregular drift,” Electronic Journal of Probability, vol. 25. Institute of Mathematical Statistics, 2020.

A. Royer, “Leveraging structure in Computer Vision tasks for flexible Deep Learning models,” Institute of Science and Technology Austria, 2020.

P. M. Henderson, V. Tsiminaki, and C. Lampert, “Leveraging 2D data to learn textured 3D mesh generation,” in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, Virtual, 2020, pp. 7498–7507.

S. A. Sinclair and U. Krämer, “Generation of effective zinc-deficient agar-solidified media allows identification of root morphology changes in response to zinc limitation,” Plant Signaling &; Behavior, vol. 15, no. 1. Taylor &; Francis, 2020.

S. Hensel and T. Rosati, “Modelled distributions of Triebel–Lizorkin type,” Studia Mathematica, vol. 252, no. 3. Instytut Matematyczny, pp. 251–297, 2020.

R. A. Dick et al., “Structures of immature EIAV Gag lattices reveal a conserved role for I in lentivirus assembly,” PLOS Pathogens, vol. 16, no. 1. Public Library of Science, 2020.

J. Tkadlec, A. Pavlogiannis, K. Chatterjee, and M. A. Nowak, “Limits on amplifiers of natural selection under death-Birth updating,” PLoS computational biology, vol. 16. Public Library of Science, 2020.