Darrell, T., Lampert, C., Sebe, N., Wu, Y., &; Yan, Y. (2018). Guest editors’ introduction to the special section on learning with Shared information for computer vision and multimedia analysis. IEEE Transactions on Pattern Analysis and Machine Intelligence. IEEE.https://doi.org/10.1109/TPAMI.2018.2804998 
LibreCat: https://research-explorer.ista.ac.at/record/321
DOI: 10.1109/TPAMI.2018.2804998
WoS: 000428901200001

Harrison, M. C., Jongepier, E., Robertson, H. M., Arning, N., Bitard-Feildel, T., Chao, H.,https://doi.org/10.5061/dryad.51d4r__Bornberg-Bauer, E. (2018). Data from: Hemimetabolous genomes reveal molecular basis of termite eusociality. Dryad.https://doi.org/10.5061/dryad.51d4r 
LibreCat: https://research-explorer.ista.ac.at/record/9841
DOI: 10.5061/dryad.51d4r

Arbel Raviv, M., &; Brown, T. A. (2018). Harnessing epoch-based reclamation for efficient range queries (Vol. 53, pp. 14–27). Presented at the PPoPP: Principles and Practice of Parallel Programming, Vienna, Austria: ACM.https://doi.org/10.1145/3178487.3178489 
LibreCat: https://research-explorer.ista.ac.at/record/397
DOI: 10.1145/3178487.3178489
WoS: 000446161100002

Chen, T., Kula, B., Nagy, B., Barzan, R., Gall, A., Ehrlich, I., &; Kukley, M. (2018). In Vivo regulation of Oligodendrocyte processor cell proliferation and differentiation by the AMPA-receptor Subunit Glu. Cell Reports. Elsevier.https://doi.org/10.1016/j.celrep.2018.09.066 
LibreCat: https://research-explorer.ista.ac.at/record/32
DOI: 10.1016/j.celrep.2018.09.066
WoS: 000448219500005

Reversat, A., &; Sixt, M. K. (2018). IgM’s exit route. Journal of Experimental Medicine. Rockefeller University Press.https://doi.org/10.1084/jem.20181934 
LibreCat: https://research-explorer.ista.ac.at/record/5672
DOI: 10.1084/jem.20181934
WoS: 000451920600002

Dodier, P., Frischer, J., Wang, W., Auzinger, T., Mallouhi, A., Serles, W.,https://doi.org/10.1016/j.wneu.2018.02.096__Bavinzski, G. (2018). Immediate flow disruption as a prognostic factor after flow diverter treatment long term experience with the pipeline embolization device. World Neurosurgery. Elsevier.https://doi.org/10.1016/j.wneu.2018.02.096 
LibreCat: https://research-explorer.ista.ac.at/record/398
DOI: 10.1016/j.wneu.2018.02.096
WoS: 000432942700070

Akopyan, A., &; Bobenko, A. (2018). Incircular nets and confocal conics. Transactions of the American Mathematical Society. American Mathematical Society.https://doi.org/10.1090/tran/7292 
LibreCat: https://research-explorer.ista.ac.at/record/458
DOI: 10.1090/tran/7292
WoS: 000423197800019

Metzler, S., Schrempf, A., &; Heinze, J. (2018). Individual- and ejaculate-specific sperm traits in ant males. Journal of Insect Physiology. Elsevier.https://doi.org/10.1016/j.jinsphys.2017.12.003 
LibreCat: https://research-explorer.ista.ac.at/record/426
DOI: 10.1016/j.jinsphys.2017.12.003
WoS: 000434751100034

Avni, G., Henzinger, T. A., &; Ibsen-Jensen, R. (2018). Infinite-duration poorman-bidding games (Vol. 11316, pp. 21–36). Presented at the 14th International Conference on Web and Internet Economics, WINE, Oxford, UK: Springer.https://doi.org/10.1007/978-3-030-04612-5_2 
LibreCat: https://research-explorer.ista.ac.at/record/5788
DOI: 10.1007/978-3-030-04612-5_2
WoS: 000865933000002
arXiv: 1804.04372

Dick, R., Zadrozny, K. K., Xu, C., Schur, F. K., Lyddon, T. D., Ricana, C. L.,https://doi.org/10.1038/s41586-018-0396-4__Vogt, V. (2018). Inositol phosphates are assembly co-factors for HIV-1. Nature. Nature Publishing Group.https://doi.org/10.1038/s41586-018-0396-4 
LibreCat: https://research-explorer.ista.ac.at/record/150
DOI: 10.1038/s41586-018-0396-4
WoS: 000442483400046
PMID: 30158708

Kalinin, N., &; Shkolnikov, M. (2018). Introduction to tropical series and wave dynamic on them. Discrete and Continuous Dynamical Systems- Series A. AIMS.https://doi.org/10.3934/dcds.2018120 
LibreCat: https://research-explorer.ista.ac.at/record/303
DOI: 10.3934/dcds.2018120
WoS: 000438818400007
arXiv: 1706.03062

Locatello, F., Dresdner, G., Khanna, R., Valera, I., &; Rätsch, G. (2018). Boosting black box variational inference. In Advances in Neural Information Processing Systems (Vol. 31). Montreal, Canada: Neural Information Processing Systems Foundation.
LibreCat: https://research-explorer.ista.ac.at/record/14202
arXiv: 1806.02185

Locatello, F., Khanna, R., Ghosh, J., &; Rätsch, G. (2018). Boosting variational inference: An optimization perspective. In Proceedings of the 21st International Conference on Artificial Intelligence and Statistics (Vol. 84, pp. 464–472). Playa Blanca, Lanzarote: ML Research Press.
LibreCat: https://research-explorer.ista.ac.at/record/14201
arXiv: 1708.01733

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

Yurtsever, A., Fercoq, O., Locatello, F., &; Cevher, V. (2018). A conditional gradient framework for composite convex minimization with applications to semidefinite programming. In Proceedings of the 35th International Conference on Machine Learning (Vol. 80, pp. 5727–5736). Stockholm, Sweden: ML Research Press.
LibreCat: https://research-explorer.ista.ac.at/record/14203
arXiv: 1804.08544

Sachdeva, H., &; Barton, N. H. (2018). Introgression of a block of genome under infinitesimal selection. Genetics. Genetics Society of America.https://doi.org/10.1534/genetics.118.301018 
LibreCat: https://research-explorer.ista.ac.at/record/282
DOI: 10.1534/genetics.118.301018
WoS: 000440014100020

Obremski, M., &; Skórski, M. (2018). Inverted leftover hash lemma (Vol. 2018). Presented at the ISIT: International Symposium on Information Theory, Vail, CO, USA: IEEE.https://doi.org/10.1109/ISIT.2018.8437654 
LibreCat: https://research-explorer.ista.ac.at/record/108
DOI: 10.1109/ISIT.2018.8437654
WoS: 000448139300368

Locatello, F., Raj, A., Karimireddy, S. P., Rätsch, G., Schölkopf, B., Stich, S. U., &; Jaggi, M. (2018). On matching pursuit and coordinate descent. In Proceedings of the 35th International Conference on Machine Learning (Vol. 80, pp. 3198–3207). ML Research Press.
LibreCat: https://research-explorer.ista.ac.at/record/14204
arXiv: 1803.09539

Kragl, B., &; Qadeer, S. (2018). Layered Concurrent Programs (Vol. 10981, pp. 79–102). Presented at the CAV: Computer Aided Verification, Oxford, UK: Springer.https://doi.org/10.1007/978-3-319-96145-3_5 
LibreCat: https://research-explorer.ista.ac.at/record/160
DOI: 10.1007/978-3-319-96145-3_5
WoS: 000491481600005

Gao, Z., Daneva, A., Salanenka, Y., Van Durme, M., Huysmans, M., Lin, Z.,https://doi.org/10.1038/s41477-018-0160-7__Nowack, M. (2018). KIR and ORESAR terminate flower receptivity by promoting cell death in the stigma of Arabidopsis. Nature Plants. Nature Publishing Group.https://doi.org/10.1038/s41477-018-0160-7 
LibreCat: https://research-explorer.ista.ac.at/record/280
DOI: 10.1038/s41477-018-0160-7
WoS: 000435571000017

Tomasek, K., Bergmiller, T., &; Guet, C. C. (2018). Lack of cations in flow cytometry buffers affect fluorescence signals by reducing membrane stability and viability of Escherichia coli strains. Journal of Biotechnology. Elsevier.https://doi.org/10.1016/j.jbiotec.2018.01.008 
LibreCat: https://research-explorer.ista.ac.at/record/503
DOI: 10.1016/j.jbiotec.2018.01.008
WoS: 000425715100006

Chaudhry, W., Pleska, M., Shah, N., Weiss, H., Mccall, I., Meyer, J.,https://doi.org/10.1371/journal.pbio.2005971__Levin, B. (2018). Leaky resistance and the conditions for the existence of lytic bacteriophage. PLoS Biology. Public Library of Science.https://doi.org/10.1371/journal.pbio.2005971 
LibreCat: https://research-explorer.ista.ac.at/record/82
DOI: 10.1371/journal.pbio.2005971
WoS: 000443383300024

Umetani, N., &; Bickel, B. (2018). Learning three-dimensional flow for interactive aerodynamic design. ACM Trans. Graph. ACM.https://doi.org/10.1145/3197517.3201325 
LibreCat: https://research-explorer.ista.ac.at/record/4
DOI: 10.1145/3197517.3201325
WoS: 000448185000050

Bartocci, E., Ferrere, T., Manjunath, N., &; Nickovic, D. (2018). Localizing faults in simulink/stateflow models with STL (pp. 197–206). Presented at the HSCC: Hybrid Systems: Computation and Control, Porto, Portugal: Association for Computing Machinery, Inc.https://doi.org/10.1145/3178126.3178131 
LibreCat: https://research-explorer.ista.ac.at/record/183
DOI: 10.1145/3178126.3178131
WoS: 000474781600022

Alt, J., Erdös, L., &; Krüger, T. H. (2018). Local inhomogeneous circular law. Annals Applied Probability . Institute of Mathematical Statistics.https://doi.org/10.1214/17-AAP1302 
LibreCat: https://research-explorer.ista.ac.at/record/566
DOI: 10.1214/17-AAP1302
WoS: 000431721800005
arXiv: 1612.07776 

Akopyan, A., &; Petrunin, A. (2018). Long geodesics on convex surfaces. Mathematical Intelligencer. Springer.https://doi.org/10.1007/s00283-018-9795-5 
LibreCat: https://research-explorer.ista.ac.at/record/106
DOI: 10.1007/s00283-018-9795-5
WoS: 000444141200005
arXiv: 1702.05172

Chaudhry, W., Pleska, M., Shah, N., Weiss, H., Mccall, I., Meyer, J.,https://doi.org/10.1371/journal.pbio.2005971.s008__Levin, B. (2018). Numerical data used in figures. Public Library of Science.https://doi.org/10.1371/journal.pbio.2005971.s008 
LibreCat: https://research-explorer.ista.ac.at/record/9810
DOI: 10.1371/journal.pbio.2005971.s008

Brown, M., Johnson, L., Leone, D., Májek, P., Vaahtomeri, K., Senfter, D.,https://doi.org/10.1083/jcb.201612051__Kerjaschki, D. (2018). Lymphatic exosomes promote dendritic cell migration along guidance cues. Journal of Cell Biology. Rockefeller University Press.https://doi.org/10.1083/jcb.201612051 
LibreCat: https://research-explorer.ista.ac.at/record/275
DOI: 10.1083/jcb.201612051
WoS: 000438077800026
PMID: 29650776

Robert, H., Park, C., Gutièrrez, C., Wójcikowska, B., Pbndík, A., Novák, O.,https://doi.org/10.1038/s41477-018-0204-z__Laux, T. (2018). Maternal auxin supply contributes to early embryo patterning in Arabidopsis. Nature Plants. Nature Publishing Group.https://doi.org/10.1038/s41477-018-0204-z 
LibreCat: https://research-explorer.ista.ac.at/record/158
DOI: 10.1038/s41477-018-0204-z
WoS: 000443861300011
PMID: 30013211

Fiedorczuk, K., &; Sazanov, L. A. (2018). Mammalian mitochondrial complex I structure and disease causing mutations. Trends in Cell Biology. Elsevier.https://doi.org/10.1016/j.tcb.2018.06.006 
LibreCat: https://research-explorer.ista.ac.at/record/152
DOI: 10.1016/j.tcb.2018.06.006
WoS: 000445118200007

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

Barzanjeh, S., Aquilina, M., &; Xuereb, A. (2018). Manipulating the flow of thermal noise in quantum devices. Physical Review Letters. American Physical Society.https://doi.org/10.1103/PhysRevLett.120.060601 
LibreCat: https://research-explorer.ista.ac.at/record/436
DOI: 10.1103/PhysRevLett.120.060601
WoS: 000424382100004
arXiv: 1706.09051

Hross, S., Theis, F. J., Sixt, M. K., &; Hasenauer, J. (2018). Mechanistic description of spatial processes using integrative modelling of noise-corrupted imaging data. Journal of the Royal Society Interface. Royal Society Publishing.https://doi.org/10.1098/rsif.2018.0600 
LibreCat: https://research-explorer.ista.ac.at/record/5858
DOI: 10.1098/rsif.2018.0600
WoS: 000456783800011

Varshney, A., &; Steinberg, V. (2018). Mixing layer instability and vorticity amplification in a creeping viscoelastic flow. Physical Review Fluids. American Physical Society.https://doi.org/10.1103/PhysRevFluids.3.103303 
LibreCat: https://research-explorer.ista.ac.at/record/16
DOI: 10.1103/PhysRevFluids.3.103303
WoS: 000447469200001

Rybicki, J., Kisdi, E., &; Anttila, J. (2018). Model of bacterial toxin-dependent pathogenesis explains infective dose. PNAS. National Academy of Sciences.https://doi.org/10.1073/pnas.1721061115 
LibreCat: https://research-explorer.ista.ac.at/record/43
DOI: 10.1073/pnas.1721061115
WoS: 000447491300057

Alderighi, T., Malomo, L., Giorgi, D., Pietroni, N., Bickel, B., &; Cignoni, P. (2018). Metamolds: Computational design of silicone molds. ACM Trans. Graph. ACM.https://doi.org/10.1145/3197517.3201381 
LibreCat: https://research-explorer.ista.ac.at/record/13
DOI: 10.1145/3197517.3201381
WoS: 000448185000097

Zhang, W., Herde, M., Mitchell, J., Whitfield, J., Wulff, A., Vongsouthi, V.,https://doi.org/10.1038/s41589-018-0108-2__Henneberger, C. (2018). Monitoring hippocampal glycine with the computationally designed optical sensor GlyFS. Nature Chemical Biology. Nature Publishing Group.https://doi.org/10.1038/s41589-018-0108-2 
LibreCat: https://research-explorer.ista.ac.at/record/137
DOI: 10.1038/s41589-018-0108-2
WoS: 000442174500013
PMID: 30061718 

Renkawitz, J., Reversat, A., Leithner, A. F., Merrin, J., &; Sixt, M. K. (2018). Micro-engineered “pillar forests”https://doi.org/10.1016/bs.mcb.2018.07.004__to study cell migration in complex but controlled 3D environments. In Methods in Cell Biology (Vol. 147, pp. 79–91). Academic Press.https://doi.org/10.1016/bs.mcb.2018.07.004 
LibreCat: https://research-explorer.ista.ac.at/record/153
DOI: 10.1016/bs.mcb.2018.07.004
WoS: 000452412300006
PMID: 30165964

Nunes Pinheiro, D. C., &; Bellaïche, Y. (2018). Mechanical force-driven adherents junction remodeling and epithelial dynamics. Developmental Cell. Cell Press.https://doi.org/10.1016/j.devcel.2018.09.014 
LibreCat: https://research-explorer.ista.ac.at/record/54
DOI: 10.1016/j.devcel.2018.09.014
WoS: 000446579900002

Frick, C., Dettinger, P., Renkawitz, J., Jauch, A., Berger, C., Recher, M.,https://doi.org/10.1371/journal.pone.0198330__Mehling, M. (2018). Nano-scale microfluidics to study 3D chemotaxis at the single cell level. PLoS One. Public Library of Science.https://doi.org/10.1371/journal.pone.0198330 
LibreCat: https://research-explorer.ista.ac.at/record/276
DOI: 10.1371/journal.pone.0198330
WoS: 000434384900031

Ceinos, R. M., Frigato, E., Pagano, C., Frohlich, N., Negrini, P., Cavallari, N.,https://doi.org/10.1038/s41598-018-27080-2__Foulkes, N. S. (2018). Mutations in blind cavefish target the light regulated circadian clock gene period 2. Scientific Reports. Nature Publishing Group.https://doi.org/10.1038/s41598-018-27080-2 
LibreCat: https://research-explorer.ista.ac.at/record/283
DOI: 10.1038/s41598-018-27080-2
WoS: 000434640800008

Elgyütt, A., Ferrere, T., &; Henzinger, T. A. (2018). Monitoring temporal logic with clock variables (Vol. 11022, pp. 53–70). Presented at the FORMATS: Formal Modeling and Analysis of Timed Systems, Beijing, China: Springer.https://doi.org/10.1007/978-3-030-00151-3_4 
LibreCat: https://research-explorer.ista.ac.at/record/81
DOI: 10.1007/978-3-030-00151-3_4
WoS: 000884993200004

Lenzen, C., &; Rybicki, J. (2018). Near-optimal self-stabilising counting and firing squads. Distributed Computing. Springer.https://doi.org/10.1007/s00446-018-0342-6 
LibreCat: https://research-explorer.ista.ac.at/record/76
DOI: 10.1007/s00446-018-0342-6
WoS: 000475627800005

Edelsbrunner, H., &; Iglesias Ham, M. (2018). Multiple covers with balls I: Inclusion–exclusion. Computational Geometry: Theory and Applications. Elsevier.https://doi.org/10.1016/j.comgeo.2017.06.014 
LibreCat: https://research-explorer.ista.ac.at/record/530
DOI: 10.1016/j.comgeo.2017.06.014
WoS: 000415778300010

Redchenko, E., Makarov, A., &; Yudson, V. (2018). Nanoscopy of pairs of atoms by fluorescence in a magnetic field. https://doi.org/10.1103/PhysRevA.97.043812__Physical Review A - Atomic, Molecular, and Optical Physics. American Physical Society.https://doi.org/10.1103/PhysRevA.97.043812 
LibreCat: https://research-explorer.ista.ac.at/record/307
DOI: 10.1103/PhysRevA.97.043812
WoS: 000429454000015
arXiv: 1712.10127

Zapata, L., Pich, O., Serrano, L., Kondrashov, F., Ossowski, S., &; Schaefer, M. (2018). Negative selection in tumor genome evolution acts on essential cellular functions and the immunopeptidome. Genome Biology. BioMed Central.https://doi.org/10.1186/s13059-018-1434-0 
LibreCat: https://research-explorer.ista.ac.at/record/279
DOI: 10.1186/s13059-018-1434-0
WoS: 000433986200001

Truckenbrodt, S. M., Viplav, A., Jähne, S., Vogts, A., Denker, A., Wildhagen, H.,https://doi.org/10.15252/embj.201798044__Rizzoli, S. (2018). Newly produced synaptic vesicle proteins are preferentially used in synaptic transmission. The EMBO Journal. Wiley.https://doi.org/10.15252/embj.201798044 
LibreCat: https://research-explorer.ista.ac.at/record/145
DOI: 10.15252/embj.201798044
WoS: 000440416900005
PMID: 29950309

Fan, L., Zhao, L., Hu, W., Li, W., Novák, O., Strnad, M.,https://doi.org/10.1111/pce.13153__Qiu, Q. (2018). NHX antiporters regulate the pH of endoplasmic reticulum and auxin-mediated development. Plant, Cell and Environment. Wiley-Blackwell.https://doi.org/10.1111/pce.13153 
LibreCat: https://research-explorer.ista.ac.at/record/462
DOI: 10.1111/pce.13153
WoS: 000426870500012
PMID: 29360148

Altmeyer, S. (2018). Non-linear dynamics and alternating ‘flip’ solutions in ferrofluidic Taylor-Couette flow. Journal of Magnetism and Magnetic Materials. Elsevier.https://doi.org/10.1016/j.jmmm.2017.12.073 
LibreCat: https://research-explorer.ista.ac.at/record/519
DOI: 10.1016/j.jmmm.2017.12.073
WoS: 000425547700061

Huang, M., Fu, H., &; Chatterjee, K. (2018). New approaches for almost-sure termination of probabilistic programs. In S. Ryu (Ed.) (Vol. 11275, pp. 181–201). Presented at the 16th Asian Symposium on Programming Languages and Systems, APLAS, Wellington, New Zealand: Springer.https://doi.org/10.1007/978-3-030-02768-1_11 
LibreCat: https://research-explorer.ista.ac.at/record/5679
DOI: 10.1007/978-3-030-02768-1_11
WoS: 000916310900011
arXiv: 1806.06683