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9078 Publications


2020 | Journal Article | IST-REx-ID: 7387 | OA
Baranova, Natalia S., et al. “Diffusion and Capture Permits Dynamic Coupling between Treadmilling FtsZ Filaments and Cell Division Proteins.” Nature Microbiology, vol. 5, Springer Nature, 2020, pp. 407–17, doi:10.1038/s41564-019-0657-5.
[Submitted Version] View | Files available | DOI | Download Submitted Version (ext.) | WoS | PubMed | Europe PMC
 

2020 | Journal Article | IST-REx-ID: 8163 | OA
Vegter, Gert, and Mathijs 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, 2020, pp. 193–99, doi:10.1556/012.2020.57.2.1454.
[Published Version] View | Files available | DOI | WoS
 

2020 | Journal Article | IST-REx-ID: 8671 | OA
Shakiba, A., et al. “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, 2020, pp. 117–28, doi:10.29252/ijmsi.15.2.117.
[Submitted Version] View | Files available | DOI | arXiv
 

2020 | Journal Article | IST-REx-ID: 6359 | OA
Dareiotis, Konstantinos, and Mate Gerencser. “On the Regularisation of the Noise for the Euler-Maruyama Scheme with Irregular Drift.” Electronic Journal of Probability, vol. 25, 82, Institute of Mathematical Statistics, 2020, doi:10.1214/20-EJP479.
[Published Version] View | Files available | DOI | WoS | arXiv
 

2020 | Thesis | IST-REx-ID: 8390 | OA
Royer, Amélie. Leveraging Structure in Computer Vision Tasks for Flexible Deep Learning Models. Institute of Science and Technology Austria, 2020, doi:10.15479/AT:ISTA:8390.
[Published Version] View | Files available | DOI
 

2020 | Conference Paper | IST-REx-ID: 8186 | OA
Henderson, Paul M., et al. “Leveraging 2D Data to Learn Textured 3D Mesh Generation.” Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, IEEE, 2020, pp. 7498–507, doi:10.1109/CVPR42600.2020.00752.
[Submitted Version] View | Files available | DOI | Download Submitted Version (ext.) | arXiv
 

2020 | Journal Article | IST-REx-ID: 7416 | OA
Sinclair, Scott A., 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, 1687175, Taylor & Francis, 2020, doi:10.1080/15592324.2019.1687175.
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2020 | Journal Article | IST-REx-ID: 9196
Hensel, Sebastian, and Tommaso Rosati. “Modelled Distributions of Triebel–Lizorkin Type.” Studia Mathematica, vol. 252, no. 3, Instytut Matematyczny, 2020, pp. 251–97, doi:10.4064/sm180411-11-2.
[Preprint] View | DOI | WoS | arXiv
 

2020 | Journal Article | IST-REx-ID: 7464 | OA
Dick, Robert A., et al. “Structures of Immature EIAV Gag Lattices Reveal a Conserved Role for IP6 in Lentivirus Assembly.” PLOS Pathogens, vol. 16, no. 1, e1008277, Public Library of Science, 2020, doi:10.1371/journal.ppat.1008277.
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2020 | Journal Article | IST-REx-ID: 7212 | OA
Tkadlec, Josef, et al. “Limits on Amplifiers of Natural Selection under Death-Birth Updating.” PLoS Computational Biology, vol. 16, e1007494, Public Library of Science, 2020, doi:10.1371/journal.pcbi.1007494.
[Published Version] View | Files available | DOI | WoS | arXiv
 

2020 | Thesis | IST-REx-ID: 7196 | OA
Tkadlec, Josef. A Role of Graphs in Evolutionary Processes. Institute of Science and Technology Austria, 2020, doi:10.15479/AT:ISTA:7196.
[Published Version] View | Files available | DOI
 

2020 | Conference Paper | IST-REx-ID: 9198 | OA
Shevchenko, Alexander, and Marco Mondelli. “Landscape Connectivity and Dropout Stability of SGD Solutions for Over-Parameterized Neural Networks.” Proceedings of the 37th International Conference on Machine Learning, vol. 119, ML Research Press, 2020, pp. 8773–84.
[Published Version] View | Files available | arXiv
 

2020 | Journal Article | IST-REx-ID: 9157 | OA
Akopyan, Arseniy, and Herbert Edelsbrunner. “The Weighted Mean Curvature Derivative of a Space-Filling Diagram.” Computational and Mathematical Biophysics, vol. 8, no. 1, De Gruyter, 2020, pp. 51–67, doi:10.1515/cmb-2020-0100.
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2020 | Journal Article | IST-REx-ID: 9156 | OA
Akopyan, Arseniy, and Herbert Edelsbrunner. “The Weighted Gaussian Curvature Derivative of a Space-Filling Diagram.” Computational and Mathematical Biophysics, vol. 8, no. 1, De Gruyter, 2020, pp. 74–88, doi:10.1515/cmb-2020-0101.
[Published Version] View | Files available | DOI | arXiv
 

2020 | Journal Article | IST-REx-ID: 8973 | OA
Redig, Frank, et al. “Symmetric Simple Exclusion Process in Dynamic Environment: Hydrodynamics.” Electronic Journal of Probability, vol. 25, 138, Institute of Mathematical Statistics, 2020, doi:10.1214/20-EJP536.
[Published Version] View | Files available | DOI | WoS | arXiv
 

2020 | Journal Article | IST-REx-ID: 179 | OA
Browning, Timothy D., and Roger Heath Brown. “Density of Rational Points on a Quadric Bundle in ℙ3×ℙ3.” Duke Mathematical Journal, vol. 169, no. 16, Duke University Press, 2020, pp. 3099–165, doi:10.1215/00127094-2020-0031.
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 

2020 | Research Data Reference | IST-REx-ID: 9814 | OA
Ibsen-Jensen, Rasmus, et al. Data and Mathematica Notebooks for Plotting Figures from Language Learning with Communication between Learners from Language Acquisition with Communication between Learners. Royal Society, 2020, doi:10.6084/m9.figshare.5973013.v1.
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2020 | Journal Article | IST-REx-ID: 8285 | OA
Malia, Benjamin K., et al. “Free Space Ramsey Spectroscopy in Rubidium with Noise below the Quantum Projection Limit.” Physical Review Letters, vol. 125, no. 4, 043202, American Physical Society, 2020, doi:10.1103/PhysRevLett.125.043202.
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2020 | Conference Paper | IST-REx-ID: 10328
Lambert, Nicholas J., et al. “New Designs and Noise Channels in Electro-Optic Microwave to Optical up-Conversion.” OSA Quantum 2.0 Conference, QTu8A.1, Optica Publishing Group, 2020, doi:10.1364/QUANTUM.2020.QTu8A.1.
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2020 | Conference Paper | IST-REx-ID: 9633 | OA
Confavreux, Basile J., et al. “A Meta-Learning Approach to (Re)Discover Plasticity Rules That Carve a Desired Function into a Neural Network.” Advances in Neural Information Processing Systems, vol. 33, 2020, pp. 16398–408.
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