Stochastic games with lexicographic reachability-safety objectives
K. Chatterjee, J.P. Katoen, M. Weininger, T. Winkler, in:, International Conference on Computer Aided Verification, Springer Nature, 2020, pp. 398–420.

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

Diffusion and capture permits dynamic coupling between treadmilling FtsZ filaments and cell division proteins
N.S. Baranova, P. Radler, V.M. Hernández-Rocamora, C. Alfonso, M.D. Lopez Pelegrin, G. Rivas, W. Vollmer, M. Loose, Nature Microbiology 5 (2020) 407–417.

Refutation of a claim made by Fejes Tóth on the accuracy of surface meshes
G. Vegter, M. Wintraecken, Studia Scientiarum Mathematicarum Hungarica 57 (2020) 193–199.

A note on belief structures and s-approximation spaces
A. Shakiba, A.K. Goharshady, M.R. Hooshmandasl, M. Alambardar Meybodi, Iranian Journal of Mathematical Sciences and Informatics 15 (2020) 117–128.

On the regularisation of the noise for the Euler-Maruyama scheme with irregular drift
K. Dareiotis, M. Gerencser, Electronic Journal of Probability 25 (2020).

Leveraging structure in Computer Vision tasks for flexible Deep Learning models
A. Royer, Leveraging Structure in Computer Vision Tasks for Flexible Deep Learning Models, Institute of Science and Technology Austria, 2020.

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

Generation of effective zinc-deficient agar-solidified media allows identification of root morphology changes in response to zinc limitation
S.A. Sinclair, U. Krämer, Plant Signaling &; Behavior 15 (2020).

Structures of immature EIAV Gag lattices reveal a conserved role for I in lentivirus assembly
R.A. Dick, C. Xu, D.R. Morado, V. Kravchuk, C.L. Ricana, T.D. Lyddon, A.M. Broad, J.R. Feathers, M.C. Johnson, V.M. Vogt, J.R. Perilla, J.A.G. Briggs, F.K. Schur, PLOS Pathogens 16 (2020).

Limits on amplifiers of natural selection under death-Birth updating
J. Tkadlec, A. Pavlogiannis, K. Chatterjee, M.A. Nowak, PLoS Computational Biology 16 (2020).

A role of graphs in evolutionary processes
J. Tkadlec, A Role of Graphs in Evolutionary Processes, Institute of Science and Technology Austria, 2020.

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

The weighted mean curvature derivative of a space-filling diagram
A. Akopyan, H. Edelsbrunner, Computational and Mathematical Biophysics 8 (2020) 51–67.

The weighted Gaussian curvature derivative of a space-filling diagram
A. Akopyan, H. Edelsbrunner, Computational and Mathematical Biophysics 8 (2020) 74–88.

Symmetric simple exclusion process in dynamic environment: Hydrodynamics
F. Redig, E. Saada, F. Sau, Electronic Journal of Probability 25 (2020).

Density of rational points on a quadric bundle in 3×3
T.D. Browning, R. Heath Brown, Duke Mathematical Journal 169 (2020) 3099–3165.

Data and mathematica notebooks for plotting figures from language learning with communication between learners from language acquisition with communication between learners
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Free space Ramsey spectroscopy in rubidium with noise below the quantum projection limit
B.K. Malia, J. Martínez-Rincón, Y. Wu, O. Hosten, M.A. Kasevich, Physical Review Letters 125 (2020).

A meta-learning approach to (re)discover plasticity rules that carve a desired function into a neural network
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