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Rotation of coupled cold molecules in the presence of a many-body environment
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Structure-aware computational design and its application to 3D printable volume scattering, mechanism, and multistability
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Implementation of a hole spin qubit in Ge hut wires and dispersive spin sensing
J. Kukucka, Implementation of a Hole Spin Qubit in Ge Hut Wires and Dispersive Spin Sensing, Institute of Science and Technology Austria, 2020.
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Stochastic games with lexicographic reachability-safety objectives
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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.
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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.
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Refutation of a claim made by Fejes Tóth on the accuracy of surface meshes
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A note on belief structures and s-approximation spaces
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On the regularisation of the noise for the Euler-Maruyama scheme with irregular drift
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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.
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Leveraging 2D data to learn textured 3D mesh generation
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Generation of effective zinc-deficient agar-solidified media allows identification of root morphology changes in response to zinc limitation
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Modelled distributions of Triebel–Lizorkin type
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Structures of immature EIAV Gag lattices reveal a conserved role for I in lentivirus assembly
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Limits on amplifiers of natural selection under death-Birth updating
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A role of graphs in evolutionary processes
J. Tkadlec, A Role of Graphs in Evolutionary Processes, Institute of Science and Technology Austria, 2020.
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Landscape connectivity and dropout stability of SGD solutions for over-parameterized neural networks
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The weighted mean curvature derivative of a space-filling diagram
A. Akopyan, H. Edelsbrunner, Computational and Mathematical Biophysics 8 (2020) 51–67.
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The weighted Gaussian curvature derivative of a space-filling diagram
A. Akopyan, H. Edelsbrunner, Computational and Mathematical Biophysics 8 (2020) 74–88.
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