Rotation of coupled cold molecules in the presence of a many-body environment
X. Li, Rotation of Coupled Cold Molecules in the Presence of a Many-Body Environment, Institute of Science and Technology Austria, 2020.
LibreCat: https://research-explorer.ista.ac.at/record/8958
DOI: 10.15479/AT:ISTA:8958

Structure-aware computational design and its application to 3D printable volume scattering, mechanism, and multistability
R. Zhang, Structure-Aware Computational Design and Its Application to 3D Printable Volume Scattering, Mechanism, and Multistability, Institute of Science and Technology Austria, 2020.
LibreCat: https://research-explorer.ista.ac.at/record/8386
DOI: 10.15479/AT:ISTA:8386

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.
LibreCat: https://research-explorer.ista.ac.at/record/7996
DOI: 10.15479/AT:ISTA:7996

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.
LibreCat: https://research-explorer.ista.ac.at/record/8272
DOI: 10.1007/978-3-030-53291-8_21
WoS: 000695272500021
arXiv: 2005.04018

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.
LibreCat: https://research-explorer.ista.ac.at/record/7572
DOI: 10.1016/bs.mcb.2020.01.006
WoS: 000611826500008

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.
LibreCat: https://research-explorer.ista.ac.at/record/7387
DOI: 10.1038/s41564-019-0657-5
WoS: 000508584700007
PMID: 31959972

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.
LibreCat: https://research-explorer.ista.ac.at/record/8163
DOI: 10.1556/012.2020.57.2.1454
WoS: 000570978400005

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.
LibreCat: https://research-explorer.ista.ac.at/record/8671
DOI: 10.29252/ijmsi.15.2.117
arXiv: 1805.10672

On the regularisation of the noise for the Euler-Maruyama scheme with irregular drift
K. Dareiotis, M. Gerencser, Electronic Journal of Probability 25 (2020).
LibreCat: https://research-explorer.ista.ac.at/record/6359
DOI: 10.1214/20-EJP479
WoS: 000550150700001
arXiv: 1812.04583

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.
LibreCat: https://research-explorer.ista.ac.at/record/8390
DOI: 10.15479/AT:ISTA:8390

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.
LibreCat: https://research-explorer.ista.ac.at/record/8186
DOI: 10.1109/CVPR42600.2020.00752
arXiv: 2004.04180

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).
LibreCat: https://research-explorer.ista.ac.at/record/7416
DOI: 10.1080/15592324.2019.1687175
WoS: 000494909300001
PMID: 31696764

Modelled distributions of Triebel–Lizorkin type
S. Hensel, T. Rosati, Studia Mathematica 252 (2020) 251–297.
LibreCat: https://research-explorer.ista.ac.at/record/9196
DOI: 10.4064/sm180411-11-2
WoS: 000558100500002
arXiv: 1709.05202

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).
LibreCat: https://research-explorer.ista.ac.at/record/7464
DOI: 10.1371/journal.ppat.1008277
WoS: 000510746400010
PMID: 31986188

Limits on amplifiers of natural selection under death-Birth updating
J. Tkadlec, A. Pavlogiannis, K. Chatterjee, M.A. Nowak, PLoS Computational Biology 16 (2020).
LibreCat: https://research-explorer.ista.ac.at/record/7212
DOI: 10.1371/journal.pcbi.1007494
WoS: 000510916500025
arXiv: 1906.02785

A role of graphs in evolutionary processes
J. Tkadlec, A Role of Graphs in Evolutionary Processes, Institute of Science and Technology Austria, 2020.
LibreCat: https://research-explorer.ista.ac.at/record/7196
DOI: 10.15479/AT:ISTA:7196

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.
LibreCat: https://research-explorer.ista.ac.at/record/9198
arXiv: 1912.10095

The weighted mean curvature derivative of a space-filling diagram
A. Akopyan, H. Edelsbrunner, Computational and Mathematical Biophysics 8 (2020) 51–67.
LibreCat: https://research-explorer.ista.ac.at/record/9157
DOI: 10.1515/cmb-2020-0100

The weighted Gaussian curvature derivative of a space-filling diagram
A. Akopyan, H. Edelsbrunner, Computational and Mathematical Biophysics 8 (2020) 74–88.
LibreCat: https://research-explorer.ista.ac.at/record/9156
DOI: 10.1515/cmb-2020-0101
arXiv: 1908.06777

Symmetric simple exclusion process in dynamic environment: Hydrodynamics
F. Redig, E. Saada, F. Sau, Electronic Journal of Probability 25 (2020).
LibreCat: https://research-explorer.ista.ac.at/record/8973
DOI: 10.1214/20-EJP536
WoS: 000591737500001
arXiv: 1811.01366