De Martino, D. (2017). Maximum entropy modeling of metabolic networks by constraining growth-rate moments predicts coexistence of phenotypes. Physical Review E. American Physical Society.https://doi.org/10.1103/PhysRevE.96.060401 
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Altmeyer, S., &; Lueptow, R. (2017). Wave propagation reversal for wavy vortices in wide gap counter rotating cylindrical Couette flow. Physical Review E. American Physical Society.https://doi.org/10.1103/PhysRevE.95.053103 
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Ferrari, P., &; Nejjar, P. (2017). Fluctuations of the competition interface in presence of shocks. Revista Latino-Americana de Probabilidade e Estatística. Instituto Nacional de Matematica Pura e Aplicada.https://doi.org/10.30757/ALEA.v14-17 
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DOI: 10.30757/ALEA.v14-17

Nickells, R., Schmitt, H., Maes, M. E., &; Schlamp, C. (2017). AA mediated transduction of the mouse retina after optic nerve injury. Investigative Ophthalmology and Visual Science. Association for Research in Vision and Ophthalmology.https://doi.org/10.1167/iovs.17-22634 
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Yakaboylu, E., Deuchert, A., &; Lemeshko, M. (2017). Emergence of non-abelian magnetic monopoles in a quantum impurity problem. Physical Review Letters. American Physical Society.https://doi.org/10.1103/PhysRevLett.119.235301 
LibreCat: https://research-explorer.ista.ac.at/record/997
DOI: 10.1103/PhysRevLett.119.235301
WoS: 000417132100007
arXiv: 1705.05162

Royer, A., Kolesnikov, A., &; Lampert, C. (2017). Probabilistic image colorization (p. 85.1-85.12). Presented at the BMVC: British Machine Vision Conference, London, United Kingdom: BMVA Press.https://doi.org/10.5244/c.31.85 
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arXiv: 1705.04258

Sun, W., Zhai, M.-Z., Li, D., Zhou, Y., Chen, N., Guo, M., &; Zhou, S. (2017). Comparison of the effects of nicotinic acid and nicotinamide degradation on plasma betaine and choline levels. Clinical Nutrition. Elsevier.https://doi.org/10.1016/j.clnu.2016.07.016 
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Edelsbrunner, H., &; Koehl, P. (2017). Computational topology for structural molecular biology. In C. Toth, J. O’Rourke, &; J. Goodman (Eds.), Handbook of Discrete and Computational Geometry, Third Edition (pp. 1709–1735). Taylor &; Francis.https://doi.org/10.1201/9781315119601 
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Jiang, C., Zhai, M.-Z., Yan, D., Li, D., Li, C., Zhang, Y.,https://doi.org/10.18632/oncotarget.20540__Sun, W. (2017). Dietary menthol-induced TRPM8 activation enhances WAT wning”https://doi.org/10.18632/oncotarget.20540__and ameliorates diet-induced obesity. Oncotarget. Impact Journals.https://doi.org/10.18632/oncotarget.20540 
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Lang, M., &; Sontag, E. (2017). Zeros of nonlinear systems with input invariances. Automatica. International Federation of Automatic Control.https://doi.org/10.1016/j.automatica.2017.03.030 
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Zimin, A., &; Lampert, C. (2017). Learning theory for conditional risk minimization (Vol. 54, pp. 213–222). Presented at the AISTATS: Artificial Intelligence and Statistics, Fort Lauderdale, FL, United States: ML Research Press.
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Akopyan, A., &; Vysotsky, V. (2017). On the lengths of curves passing through boundary points of a planar convex shape. The American Mathematical Monthly. Mathematical Association of America.https://doi.org/10.4169/amer.math.monthly.124.7.588 
LibreCat: https://research-explorer.ista.ac.at/record/909
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WoS: 000413947300002
arXiv: 1605.07997

Alistarh, D.-A., Grubic, D., Li, J., Tomioka, R., &; Vojnovi, M. (2017). QSGD: Communication-efficient SGD via gradient quantization and encoding (Vol. 2017, pp. 1710–1721). Presented at the NIPS: Neural Information Processing System, Long Beach, CA, United States: Neural Information Processing Systems Foundation.
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arXiv: 1610.02132

Finkbeiner, B., &; Kupriyanov, A. (2017). Causality-based model checking. In Electronic Proceedings in Theoretical Computer Science (Vol. 259, pp. 31–38). Uppsala, Sweden: Open Publishing Association.https://doi.org/10.4204/EPTCS.259.3 
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Pentina, A., &; Lampert, C. (2017). Multi-task learning with labeled and unlabeled tasks (Vol. 70, pp. 2807–2816). Presented at the ICML: International Conference on Machine Learning, Sydney, Australia: ML Research Press.
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Rueda Sanchez, A. R., Sedlmeir, F., Collodo, M., Vogl, U., Stiller, B., Schunk, G.,https://doi.org/10.1364/NLO.2017.NM3A.1__Schwefel, H. (2017). Single sideband microwave to optical photon conversion-an-electro-optic-realization. In Optics InfoBase Conference Papers (Vol. ). Waikoloa, HI, United States: Optica  Publishing Group.https://doi.org/10.1364/NLO.2017.NM3A.1 
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Haase, J., Bagiante, S., Sigg, H., &; Van Bokhoven, J. (2017). Surface enhanced infrared absorption of chemisorbed carbon monoxide using plasmonic nanoantennas. Optics Letters. Optica Publishing Group.https://doi.org/10.1364/OL.42.001931 
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Cremer, S. (2017). Invasive Ameisen in Europa: Wie sie sich ausbreiten und die heimische Fauna verändern. Rundgespräche Forum Ökologie. Verlag Dr. Friedrich Pfeil.
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Zhang, H., Li, J., Kara, K., Alistarh, D.-A., Liu, J., &; Zhang, C. (2017). ZipML: Training linear models with end-to-end low precision, and a little bit of deep learning. In Proceedings of Machine Learning Research (Vol. 70, pp. 4035–4043). Sydney, Australia: ML Research Press.
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Kolmogorov, V. (2017). A faster approximation algorithm for the Gibbs partition function. In Proceedings of the 31st Conference On Learning Theory (Vol. 75, pp. 228–249). ML Research Press.
LibreCat: https://research-explorer.ista.ac.at/record/274
arXiv: 1608.04223