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J. Mueller et al., “Load adaptation of lamellipodial actin networks,” Cell, vol. 171, no. 1. Cell Press, pp. 188–200, 2017.
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C. Savin and G. Tkadik, “Maximum entropy models as a tool for building precise neural controls,” Current Opinion in Neurobiology, vol. 46. Elsevier, pp. 120–126, 2017.
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C. Chan, C.-P. J. Heisenberg, and T. Hiiragi, “Coordination of morphogenesis and cell fate specification in development,” Current Biology, vol. 27, no. 18. Cell Press, pp. 24–35, 2017.
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Z. P. Spiro and C.-P. J. Heisenberg, “Regeneration tensed up polyploidy takes the lead,” Developmental Cell, vol. 42, no. 6. Cell Press, pp. 559–560, 2017.
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D. De Martino, “Maximum entropy modeling of metabolic networks by constraining growth-rate moments predicts coexistence of phenotypes,” Physical Review E, vol. 96, no. 6. American Physical Society, 2017.
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S. Altmeyer and R. Lueptow, “Wave propagation reversal for wavy vortices in wide gap counter rotating cylindrical Couette flow,” Physical Review E, vol. 95, no. 5. American Physical Society, 2017.
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P. Ferrari and P. Nejjar, “Fluctuations of the competition interface in presence of shocks,” Revista Latino-Americana de Probabilidade e Estatística, vol. 9. Instituto Nacional de Matematica Pura e Aplicada, pp. 299–325, 2017.
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R. Nickells, H. Schmitt, M. E. Maes, and C. Schlamp, “AA mediated transduction of the mouse retina after optic nerve injury,” Investigative Ophthalmology and Visual Science, vol. 58, no. 14. Association for Research in Vision and Ophthalmology, pp. 6091–6104, 2017.
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E. Yakaboylu, A. Deuchert, and M. Lemeshko, “Emergence of non-abelian magnetic monopoles in a quantum impurity problem,” Physical Review Letters, vol. 119, no. 23. American Physical Society, 2017.
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arXiv: 1705.05162

A. Royer, A. Kolesnikov, and C. Lampert, “Probabilistic image colorization,” presented at the BMVC: British Machine Vision Conference, London, United Kingdom, 2017, p. 85.1-85.12.
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W. Sun et al., “Comparison of the effects of nicotinic acid and nicotinamide degradation on plasma betaine and choline levels,” Clinical Nutrition, vol. 36, no. 4. Elsevier, pp. 1136–1142, 2017.
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H. Edelsbrunner and P. Koehl, “Computational topology for structural molecular biology,” in Handbook of Discrete and Computational Geometry, Third Edition, C. Toth, J. O’Rourke, and J. Goodman, Eds. Taylor &; Francis, 2017, pp. 1709–1735.
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C. Jiang et al., “Dietary menthol-induced TRPM8 activation enhances WAT ‘browning’ and ameliorates diet-induced obesity,” Oncotarget, vol. 8, no. 43. Impact Journals, pp. 75114–75126, 2017.
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M. Lang and E. Sontag, “Zeros of nonlinear systems with input invariances,” Automatica, vol. 81C. International Federation of Automatic Control, pp. 46–55, 2017.
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A. Zimin and C. Lampert, “Learning theory for conditional risk minimization,” presented at the AISTATS: Artificial Intelligence and Statistics, Fort Lauderdale, FL, United States, 2017, vol. 54, pp. 213–222.
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A. Akopyan and V. Vysotsky, “On the lengths of curves passing through boundary points of a planar convex shape,” The American Mathematical Monthly, vol. 124, no. 7. Mathematical Association of America, pp. 588–596, 2017.
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arXiv: 1605.07997

D.-A. Alistarh, D. Grubic, J. Li, R. Tomioka, and M. Vojnovi, “QSGD: Communication-efficient SGD via gradient quantization and encoding,” presented at the NIPS: Neural Information Processing System, Long Beach, CA, United States, 2017, vol. 2017, pp. 1710–1721.
LibreCat: https://research-explorer.ista.ac.at/record/431
arXiv: 1610.02132

B. Finkbeiner and A. Kupriyanov, “Causality-based model checking,” in Electronic Proceedings in Theoretical Computer Science, Uppsala, Sweden, 2017, vol. 259, pp. 31–38.
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A. Pentina and C. Lampert, “Multi-task learning with labeled and unlabeled tasks,” presented at the ICML: International Conference on Machine Learning, Sydney, Australia, 2017, vol. 70, pp. 2807–2816.
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