WoodFisher: Efficient second-order approximation for neural network compression
S.P. Singh, D.-A. Alistarh, in:, Advances in Neural Information Processing Systems, Curran Associates, 2020, pp. 18098–18109.
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Topological data analysis in information space
H. Edelsbrunner, Z. Virk, H. Wagner, Journal of Computational Geometry 11 (2020) 162–182.
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Scalable belief propagation via relaxed scheduling
V. Aksenov, D.-A. Alistarh, J. Korhonen, in:, Advances in Neural Information Processing Systems, Curran Associates, 2020, pp. 22361–22372.
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arXiv: 2002.11505

Mapping materials and molecules
B. Cheng, R.-R. Griffiths, S. Wengert, C. Kunkel, T. Stenczel, B. Zhu, V.L. Deringer, N. Bernstein, J.T. Margraf, K. Reuter, G. Csanyi, Accounts of Chemical Research 53 (2020) 1981–1991.
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Predicting the phase diagram of titanium dioxide with random search and pattern recognition
A. Reinhardt, C.J. Pickard, B. Cheng, Physical Chemistry Chemical Physics 22 (2020) 12697–12705.
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Liquid water contains the building blocks of diverse ice phases
B. Monserrat, J.G. Brandenburg, E.A. Engel, B. Cheng, Nature Communications 11 (2020).
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Simplified game of life: Algorithms and complexity
K. Chatterjee, R. Ibsen-Jensen, I.R. Jecker, J. Svoboda, in:, 45th International Symposium on Mathematical Foundations of Computer Science, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2020.
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arXiv: 2007.02894

Unary prime languages
I.R. Jecker, O. Kupferman, N. Mazzocchi, in:, 45th International Symposium on Mathematical Foundations of Computer Science, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2020.
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Reduction of neuronal activity mediated by blood-vessel regression in the brain
X. Gao, J.-L. Li, X. Chen, B. Ci, F. Chen, N. Lu, B. Shen, L. Zheng, J.-M. Jia, Y. Yi, S. Zhang, Y.-C. Shi, K. Shi, N.E. Propson, Y. Huang, K. Poinsatte, Z. Zhang, Y. Yue, D.B. Bosco, Y. Lu, S. Yang, R.H. Adams, V. Lindner, F. Huang, L.-J. Wu, H. Zheng, F. Han, S. Hippenmeyer, A.M. Stowe, B. Peng, M. Margeta, X. Wang, Q. Liu, J. Körbelin, M. Trepel, H. Lu, B.O. Zhou, H. Zhao, W. Su, R.M. Bachoo, W. Ge, BioRxiv (n.d.).
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Empfehlungen für eine nationale Open Science Strategie in Österreich / Recommendations for a National Open Science Strategy in Austria
K. Mayer, K. Rieck, S. Reichmann, P. Danowski, A. Graschopf, T. König, P. Kraker, P. Lehner, F. Reckling, T. Ross-Hellauer, D. Spichtinger, M. Tzatzanis, S. Schürz, Empfehlungen für eine nationale Open Science Strategie in Österreich / Recommendations for a National Open Science Strategy in Austria, OANA, 2020.
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Rigorous numerics for critical orbits in the quadratic family
A. Golmakani, E. Koudjinan, S. Luzzatto, P. Pilarczyk, Chaos 30 (2020).
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arXiv: 2004.13444

A KAM theorem for finitely differentiable Hamiltonian systems
E. Koudjinan, Journal of Differential Equations 269 (2020) 4720–4750.
LibreCat: https://research-explorer.ista.ac.at/record/8691
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arXiv: 1909.04099

eRecommendationc for the further procedure for open access monitoring. Deliverable of the AOA subproject T-B
P. Danowski, A. Ferus, A.-L. Hikl, G. McNeill, C. Miniberger, S. Reding, T. Zarka, M. Zojer, Mitteilungen der Vereinigung Österreichischer Bibliothekarinnen und Bibliothekare 73 (2020) 278–284.
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Generation and isolation of single cells from mouse brain with mosaic analysis with double markers-induced uniparental chromosome disomy
S. Laukoter, N. Amberg, F. Pauler, S. Hippenmeyer, STAR Protocols 1 (2020).
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Rapid characterization of neutral polymer brush with a conventional zetameter and a variable pinch of salt
M. Youssef, A. Morin, A. Aubret, S. Sacanna, J.A. Palacci, Soft Matter 16 (2020) 4274–4282.
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Synthesis of ternary electrocatalysts for exploration of methanol electro-oxidation in alkaline media
T. Hussain, M. Nauman, S. Sabahat, S. Arif, Materials Research Express 6 (2020).
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Size-dependent magnetic and magnetothermal properties of gadolinium silicide nanoparticles
M. Nauman, M.H. Alnasir, M.A. Hamayun, Y. Wang, M. Shatruk, S. Manzoor, RSC Advances 10 (2020) 28383–28389.
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Lagrangian reachtubes: The next generation
S. Gruenbacher, J. Cyranka, M. Lechner, M.A. Islam, S.A. Smolka, R. Grosu, in:, Proceedings of the 59th IEEE Conference on Decision and Control, IEEE, 2020, pp. 1556–1563.
LibreCat: https://research-explorer.ista.ac.at/record/9103
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arXiv: 2012.07458

How do ocean warm anomalies favor the aggregation of deep convective clouds?
S. Shamekh, C.J. Muller, J.-P. Duvel, F. D’Andrea, Journal of the Atmospheric Sciences 77 (2020) 3733–3745.
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Clouds in current and in a warming climate
C.J. Muller, in:, F. Bouchet, T. Schneider, A. Venaille, C. Salomon (Eds.), Fundamental Aspects of Turbulent Flows in Climate Dynamics, Oxford University Press, 2020.
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