F. Locatello, R. Khanna, J. Ghosh, and G. Rätsch, “Boosting variational inference: An optimization perspective,” in Proceedings of the 21st International Conference on Artificial Intelligence and Statistics, Playa Blanca, Lanzarote, 2018, vol. 84, pp. 464–472.
LibreCat: https://research-explorer.ista.ac.at/record/14201
arXiv: 1708.01733

V. Fortuin, M. Hüser, F. Locatello, H. Strathmann, and G. Rätsch, “SOM-VAE: Interpretable discrete representation learning on time series,” in International Conference on Learning Representations, New Orleans, LA, United States, 2018.
LibreCat: https://research-explorer.ista.ac.at/record/14198
arXiv: 1806.02199

A. Yurtsever, O. Fercoq, F. Locatello, and V. Cevher, “A conditional gradient framework for composite convex minimization with applications to semidefinite programming,” in Proceedings of the 35th International Conference on Machine Learning, Stockholm, Sweden, 2018, vol. 80, pp. 5727–5736.
LibreCat: https://research-explorer.ista.ac.at/record/14203
arXiv: 1804.08544

H. Sachdeva and N. H. Barton, “Introgression of a block of genome under infinitesimal selection,” Genetics, vol. 209, no. 4. Genetics Society of America, pp. 1279–1303, 2018.
LibreCat: https://research-explorer.ista.ac.at/record/282
DOI: 10.1534/genetics.118.301018
WoS: 000440014100020

M. Obremski and M. Skórski, “Inverted leftover hash lemma,” presented at the ISIT: International Symposium on Information Theory, Vail, CO, USA, 2018, vol. 2018.
LibreCat: https://research-explorer.ista.ac.at/record/108
DOI: 10.1109/ISIT.2018.8437654
WoS: 000448139300368

F. Locatello et al., “On matching pursuit and coordinate descent,” in Proceedings of the 35th International Conference on Machine Learning, 2018, vol. 80, pp. 3198–3207.
LibreCat: https://research-explorer.ista.ac.at/record/14204
arXiv: 1803.09539

B. Kragl and S. Qadeer, “Layered Concurrent Programs,” presented at the CAV: Computer Aided Verification, Oxford, UK, 2018, vol. 10981, pp. 79–102.
LibreCat: https://research-explorer.ista.ac.at/record/160
DOI: 10.1007/978-3-319-96145-3_5
WoS: 000491481600005

Z. Gao et al., “KIR and ORESAR terminate flower receptivity by promoting cell death in the stigma of Arabidopsis,” Nature Plants, vol. 4, no. 6. Nature Publishing Group, pp. 365–375, 2018.
LibreCat: https://research-explorer.ista.ac.at/record/280
DOI: 10.1038/s41477-018-0160-7
WoS: 000435571000017

K. Tomasek, T. Bergmiller, and C. C. Guet, “Lack of cations in flow cytometry buffers affect fluorescence signals by reducing membrane stability and viability of Escherichia coli strains,” Journal of Biotechnology, vol. 268. Elsevier, pp. 40–52, 2018.
LibreCat: https://research-explorer.ista.ac.at/record/503
DOI: 10.1016/j.jbiotec.2018.01.008
WoS: 000425715100006

W. Chaudhry et al., “Leaky resistance and the conditions for the existence of lytic bacteriophage,” PLoS Biology, vol. 16, no. 8. Public Library of Science, 2018.
LibreCat: https://research-explorer.ista.ac.at/record/82
DOI: 10.1371/journal.pbio.2005971
WoS: 000443383300024

N. Umetani and B. Bickel, “Learning three-dimensional flow for interactive aerodynamic design,” ACM Trans. Graph., vol. 37, no. 4. ACM, 2018.
LibreCat: https://research-explorer.ista.ac.at/record/4
DOI: 10.1145/3197517.3201325
WoS: 000448185000050

E. Bartocci, T. Ferrere, N. Manjunath, and D. Nickovic, “Localizing faults in simulink/stateflow models with STL,” presented at the HSCC: Hybrid Systems: Computation and Control, Porto, Portugal, 2018, pp. 197–206.
LibreCat: https://research-explorer.ista.ac.at/record/183
DOI: 10.1145/3178126.3178131
WoS: 000474781600022

J. Alt, L. Erdös, and T. H. Krüger, “Local inhomogeneous circular law,” Annals Applied Probability , vol. 28, no. 1. Institute of Mathematical Statistics, pp. 148–203, 2018.
LibreCat: https://research-explorer.ista.ac.at/record/566
DOI: 10.1214/17-AAP1302
WoS: 000431721800005
arXiv: 1612.07776 

A. Akopyan and A. Petrunin, “Long geodesics on convex surfaces,” Mathematical Intelligencer, vol. 40, no. 3. Springer, pp. 26–31, 2018.
LibreCat: https://research-explorer.ista.ac.at/record/106
DOI: 10.1007/s00283-018-9795-5
WoS: 000444141200005
arXiv: 1702.05172

W. Chaudhry et al., “Numerical data used in figures.” Public Library of Science, 2018.
LibreCat: https://research-explorer.ista.ac.at/record/9810
DOI: 10.1371/journal.pbio.2005971.s008

M. Brown et al., “Lymphatic exosomes promote dendritic cell migration along guidance cues,” Journal of Cell Biology, vol. 217, no. 6. Rockefeller University Press, pp. 2205–2221, 2018.
LibreCat: https://research-explorer.ista.ac.at/record/275
DOI: 10.1083/jcb.201612051
WoS: 000438077800026
PMID: 29650776

H. Robert et al., “Maternal auxin supply contributes to early embryo patterning in Arabidopsis,” Nature Plants, vol. 4, no. 8. Nature Publishing Group, pp. 548–553, 2018.
LibreCat: https://research-explorer.ista.ac.at/record/158
DOI: 10.1038/s41477-018-0204-z
WoS: 000443861300011
PMID: 30013211

K. Fiedorczuk and L. A. Sazanov, “Mammalian mitochondrial complex I structure and disease causing mutations,” Trends in Cell Biology, vol. 28, no. 10. Elsevier, pp. 835–867, 2018.
LibreCat: https://research-explorer.ista.ac.at/record/152
DOI: 10.1016/j.tcb.2018.06.006
WoS: 000445118200007

K. Chatterjee, W. Dvorák, M. H. Henzinger, and V. Loitzenbauer, “Lower bounds for symbolic computation on graphs: Strongly connected components, liveness, safety, and diameter,” presented at the SODA: Symposium on Discrete Algorithms, New Orleans, Louisiana, United States, 2018, pp. 2341–2356.
LibreCat: https://research-explorer.ista.ac.at/record/310
DOI: 10.1137/1.9781611975031.151
WoS: 000483921200152
arXiv: 1711.09148

S. Barzanjeh, M. Aquilina, and A. Xuereb, “Manipulating the flow of thermal noise in quantum devices,” Physical Review Letters, vol. 120, no. 6. American Physical Society, 2018.
LibreCat: https://research-explorer.ista.ac.at/record/436
DOI: 10.1103/PhysRevLett.120.060601
WoS: 000424382100004
arXiv: 1706.09051