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