Polechova, J., &; Barton, N. H. (2015). Limits to adaptation along environmental gradients. PNAS. National Academy of Sciences.https://doi.org/10.1073/pnas.1421515112 
LibreCat: https://research-explorer.ista.ac.at/record/1818
DOI: 10.1073/pnas.1421515112
PMID: 25941385

Chevereau, G., &; Bollenbach, M. T. (2015). Systematic discovery of drug interaction mechanisms. Molecular Systems Biology. Nature Publishing Group.https://doi.org/10.15252/msb.20156098 
LibreCat: https://research-explorer.ista.ac.at/record/1823
DOI: 10.15252/msb.20156098

Knebel, J., Weber, M., Krüger, T. H., &; Frey, E. (2015). Evolutionary games of condensates in coupled birth-death processes. Nature Communications. Nature Publishing Group.https://doi.org/10.1038/ncomms7977 
LibreCat: https://research-explorer.ista.ac.at/record/1824
DOI: 10.1038/ncomms7977

Kappeler, P., Cremer, S., &; Nunn, C. (2015). Sociality and health: Impacts of sociality on disease susceptibility and transmission in animal and human societies. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences. Royal Society.https://doi.org/10.1098/rstb.2014.0116 
LibreCat: https://research-explorer.ista.ac.at/record/1831
DOI: 10.1098/rstb.2014.0116
PMID: 25870402

Akopyan, A., Pirogov, S., &; Rybko, A. (2015). Invariant measures of genetic recombination process. Journal of Statistical Physics. Springer.https://doi.org/10.1007/s10955-015-1238-5 
LibreCat: https://research-explorer.ista.ac.at/record/1828
DOI: 10.1007/s10955-015-1238-5

Bloem, R., Chatterjee, K., Jacobs, S., &; Könighofer, R. (2015). Assume-guarantee synthesis for concurrent reactive programs with partial information (Vol. 9035, pp. 517–532). Presented at the TACAS: Tools and Algorithms for the Construction and Analysis of Systems, London, United Kingdom: Springer.https://doi.org/10.1007/978-3-662-46681-0_50 
LibreCat: https://research-explorer.ista.ac.at/record/1838
DOI: 10.1007/978-3-662-46681-0_50

Brázdil, T., Chatterjee, K., Forejt, V., &; Kudera, A. (2015). Multigain: A controller synthesis tool for MDPs with multiple mean-payoff objectives. Presented at the TACAS: Tools and Algorithms for the Construction and Analysis of Systems, London, United Kingdom: Springer.https://doi.org/10.1007/978-3-662-46681-0_12 
LibreCat: https://research-explorer.ista.ac.at/record/1839
DOI: 10.1007/978-3-662-46681-0_12

Kühnen, J., Braunshier, P., Schwegel, M., Kuhlmann, H., &; Hof, B. (2015). Subcritical versus supercritical transition to turbulence in curved pipes. Journal of Fluid Mechanics. Cambridge University Press.https://doi.org/10.1017/jfm.2015.184 
LibreCat: https://research-explorer.ista.ac.at/record/1837
DOI: 10.1017/jfm.2015.184
arXiv: 1508.06559

Schwamb, B., Pick, R., Fernández, S., Völp, K., Heering, J., Dötsch, V.,https://doi.org/10.1002/ijc.29498__Zörnig, M. (2015). FAM96A is a novel pro-apoptotic tumor suppressor in gastrointestinal stromal tumors. International Journal of Cancer. Wiley.https://doi.org/10.1002/ijc.29498 
LibreCat: https://research-explorer.ista.ac.at/record/1848
DOI: 10.1002/ijc.29498
PMID: 25716227

Benes, N., Kretinsky, J., Larsen, K., Möller, M., Sickert, S., &; Srba, J. (2015). Refinement checking on parametric modal transition systems. Acta Informatica. Springer.https://doi.org/10.1007/s00236-015-0215-4 
LibreCat: https://research-explorer.ista.ac.at/record/1846
DOI: 10.1007/s00236-015-0215-4

Vandael, D. H., Espinoza Martinez, C., &; Jonas, P. M. (2015). Excitement about inhibitory presynaptic terminals. Neuron. Elsevier.https://doi.org/10.1016/j.neuron.2015.03.006 
LibreCat: https://research-explorer.ista.ac.at/record/1845
DOI: 10.1016/j.neuron.2015.03.006

Geiger, B., Petrov, T., Kubin, G., &; Koeppl, H. (2015). Optimal Kullback-Leibler aggregation via information bottleneck. IEEE Transactions on Automatic Control. IEEE.https://doi.org/10.1109/TAC.2014.2364971 
LibreCat: https://research-explorer.ista.ac.at/record/1840
DOI: 10.1109/TAC.2014.2364971

Kolmogorov, V. (2015). A new look at reweighted message passing. IEEE Transactions on Pattern Analysis and Machine Intelligence. IEEE.https://doi.org/10.1109/TPAMI.2014.2363465 
LibreCat: https://research-explorer.ista.ac.at/record/1841
DOI: 10.1109/TPAMI.2014.2363465

Novak, S., &; Cremer, S. (2015). Fungal disease dynamics in insect societies: Optimal killing rates and the ambivalent effect of high social interaction rates. Journal of Theoretical Biology. Elsevier.https://doi.org/10.1016/j.jtbi.2015.02.018 
LibreCat: https://research-explorer.ista.ac.at/record/1850
DOI: 10.1016/j.jtbi.2015.02.018

Priklopil, T., Kisdi, E., &; Gyllenberg, M. (2015). Evolutionarily stable mating decisions for sequentially searching females and the stability of reproductive isolation by assortative mating. Evolution. Wiley.https://doi.org/10.1111/evo.12618 
LibreCat: https://research-explorer.ista.ac.at/record/1851
DOI: 10.1111/evo.12618
PMID: 25662095

Shah, N., Kolmogorov, V., &; Lampert, C. (2015). A multi-plane block-coordinate Frank-Wolfe algorithm for training structural SVMs with a costly max-oracle (pp. 2737–2745). Presented at the CVPR: Computer Vision and Pattern Recognition, Boston, MA, USA: IEEE.https://doi.org/10.1109/CVPR.2015.7298890 
LibreCat: https://research-explorer.ista.ac.at/record/1859
DOI: 10.1109/CVPR.2015.7298890

Royer, A., &; Lampert, C. (2015). Classifier adaptation at prediction time (pp. 1401–1409). Presented at the CVPR: Computer Vision and Pattern Recognition, Boston, MA, United States: IEEE.https://doi.org/10.1109/CVPR.2015.7298746 
LibreCat: https://research-explorer.ista.ac.at/record/1860
DOI: 10.1109/CVPR.2015.7298746

Lampert, C. (2015). Predicting the future behavior of a time-varying probability distribution (pp. 942–950). Presented at the CVPR: Computer Vision and Pattern Recognition, Boston, MA, United States: IEEE.https://doi.org/10.1109/CVPR.2015.7298696 
LibreCat: https://research-explorer.ista.ac.at/record/1858
DOI: 10.1109/CVPR.2015.7298696
arXiv: 1406.5362

Pentina, A., Sharmanska, V., &; Lampert, C. (2015). Curriculum learning of multiple tasks (pp. 5492–5500). Presented at the CVPR: Computer Vision and Pattern Recognition, Boston, MA, United States: IEEE.https://doi.org/10.1109/CVPR.2015.7299188 
LibreCat: https://research-explorer.ista.ac.at/record/1857
DOI: 10.1109/CVPR.2015.7299188

Erdös, L., &; Knowles, A. (2015). The Altshuler–Shklovskii formulas for random band matrices II: The general case. Annales Henri Poincare. Springer.https://doi.org/10.1007/s00023-014-0333-5 
LibreCat: https://research-explorer.ista.ac.at/record/1864
DOI: 10.1007/s00023-014-0333-5