Sub-seasonal variability of supraglacial ice cliff melt rates and associated processes from time-lapse photogrammetry
M. Kneib, E.S. Miles, P. Buri, S. Fugger, M. McCarthy, T.E. Shaw, Z. Chuanxi, M. Truffer, M.J. Westoby, W. Yang, F. Pellicciotti, The Cryosphere 16 (2022) 4701–4725.
LibreCat: https://research-explorer.ista.ac.at/record/12574
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Supraglacial debris thickness and supply rate in High-Mountain Asia
M. McCarthy, E. Miles, M. Kneib, P. Buri, S. Fugger, F. Pellicciotti, Communications Earth &; Environment 3 (2022).
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CGX: Adaptive system support for communication-efficient deep learning
I. Markov, H. Ramezanikebrya, D.-A. Alistarh, in:, Proceedings of the 23rd ACM/IFIP International Middleware Conference, Association for Computing Machinery, 2022, pp. 241–254.
LibreCat: https://research-explorer.ista.ac.at/record/12780
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arXiv: 2111.08617

Towards differential relational privacy and its use in question answering
S. Bombari, A. Achille, Z. Wang, Y.-X. Wang, Y. Xie, K.Y. Singh, S. Appalaraju, V. Mahadevan, S. Soatto, ArXiv (n.d.).
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arXiv: 2203.16701

Integral points of bounded height on a certain toric variety
F.A. Wilsch, ArXiv (n.d.).
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arXiv: 2202.10909

Almost-orthogonal layers for efficient general-purpose Lipschitz networks
B. Prach, C. Lampert, in:, Computer Vision – ECCV 2022, Springer Nature, 2022, pp. 350–365.
LibreCat: https://research-explorer.ista.ac.at/record/11839
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arXiv: 2208.03160

Benzylic fluorination induced by a charge-transfer complex with a solvent-dependent selectivity switch
A. Madani, L. Anghileri, M. Heydenreich, H.M. Möller, B. Pieber, Organic Letters 24 (2022) 5376–5380.
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Histone B.8 compacts flowering plant sperm through chromatin phase separation
T. Buttress, S. He, L. Wang, S. Zhou, G. Saalbach, M. Vickers, G. Li, P. Li, X. Feng, Nature 611 (2022) 614–622.
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DNA methylation dynamics during germline development
S. He, X. Feng, Journal of Integrative Plant Biology 64 (2022) 2240–2251.
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Intraligand charge transfer enables visiblelightmediated Nickelcatalyzed cross-coupling reactions
C. Cavedon, S. Gisbertz, S. Reischauer, S. Vogl, E. Sperlich, J.H. Burke, R.F. Wallick, S. Schrottke, W. Hsu, L. Anghileri, Y. Pfeifer, N. Richter, C. Teutloff, H. MüllerWerkmeister, D. Cambié, P.H. Seeberger, J. VuraWeis, R.M. van der Veen, A. Thomas, B. Pieber, Angewandte Chemie International Edition 61 (2022).
LibreCat: https://research-explorer.ista.ac.at/record/12924
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From vibrational spectroscopy and quantum tunnelling to periodic band structures – a self-supervised, all-purpose neural network approach to general quantum problems
J. Gamper, F. Kluibenschedl, A.K.H. Weiss, T.S. Hofer, Physical Chemistry Chemical Physics 24 (2022) 25191–25202.
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Modulating the surface and photophysical properties of carbon dots to access colloidal photocatalysts for cross-couplings
Z. Zhao, B. Pieber, M. Delbianco, ACS Catalysis 12 (2022) 13831–13837.
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Where is the sweet spot? A procurement story of general purpose compute nodes
A. Schlögl, A. Hornoiu, S. Elefante, S. Stadlbauer, in:, ASHP - Austrian-Slovenian HPC Meeting 2022, EuroCC Austria c/o Universität Wien, 2022, p. 7.
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Tissue-wide genetic and cellular landscape shapes the execution of sequential PR functions in neural stem cell lineage progression
N. Amberg, F. Pauler, C. Streicher, S. Hippenmeyer, Science Advances 8 (2022).
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Closed-loop control of direct ink writing via reinforcement learning
M. Piovarci, M. Foshey, J. Xu, T. Erps, V. Babaei, P. Didyk, S. Rusinkiewicz, W. Matusik, B. Bickel, ACM Transactions on Graphics 41 (2022).
LibreCat: https://research-explorer.ista.ac.at/record/11442
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arXiv: 2201.11819

Near-optimal leader election in population protocols on graphs
D.-A. Alistarh, J. Rybicki, S. Voitovych, in:, Proceedings of the Annual ACM Symposium on Principles of Distributed Computing, Association for Computing Machinery, 2022, pp. 246–256.
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High-dimensional expansion and crossing numbers of simplicial complexes
P. Wild, High-Dimensional Expansion and Crossing Numbers of Simplicial Complexes, Institute of Science and Technology, 2022.
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Genetic basis of flower colour as a model for adaptive evolution
L. Matejovicova, Genetic Basis of Flower Colour as a Model for Adaptive Evolution, Institute of Science and Technology Austria, 2022.
LibreCat: https://research-explorer.ista.ac.at/record/11128
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Predictive learning enables neural networks to learn complex working memory tasks
T.L. Van Der Plas, T.P. Vogels, S.G. Manohar, in:, Proceedings of Machine Learning Research, ML Research Press, 2022, pp. 518–531.
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Revisiting the adversarial robustness-accuracy tradeoff in robot learning
M. Lechner, A. Amini, D. Rus, T.A. Henzinger, ArXiv (n.d.).
LibreCat: https://research-explorer.ista.ac.at/record/11366
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arXiv: 2204.07373