Guseinov, R., Miguel, E., &; Bickel, B. (2017). CurveUps: Shaping objects from flat plates with tension-actuated curvature (Vol. 36). Presented at the SIGGRAPH: Special Interest Group on Computer Graphics and Interactive Techniques, Los Angeles, CA, United States: ACM.https://doi.org/10.1145/3072959.3073709 
LibreCat: https://research-explorer.ista.ac.at/record/1001
DOI: 10.1145/3072959.3073709
WoS: 000406432100032

Avni, G., Guha, S., &; Kupferman, O. (2017). An abstraction-refinement methodology for reasoning about network games (pp. 70–76). Presented at the IJCAI: International Joint Conference on Artificial Intelligence , Melbourne, Australia: AAAI Press.https://doi.org/10.24963/ijcai.2017/11 
LibreCat: https://research-explorer.ista.ac.at/record/1003
DOI: 10.24963/ijcai.2017/11
WoS: 000764137500011

Kolesnikov, A., &; Lampert, C. (2017). PixelCNN models with auxiliary variables for natural image modeling. In 34th International Conference on Machine Learning (Vol. 70, pp. 1905–1914). Sydney, Australia: JMLR.
LibreCat: https://research-explorer.ista.ac.at/record/1000
WoS: 000683309501102
arXiv: 1612.08185

Rebuffi, S. A., Kolesnikov, A., Sperl, G., &; Lampert, C. (2017). iCaRL: Incremental classifier and representation learning (Vol. 2017, pp. 5533–5542). Presented at the CVPR: Computer Vision and Pattern Recognition, Honolulu, HA, United States: IEEE.https://doi.org/10.1109/CVPR.2017.587 
LibreCat: https://research-explorer.ista.ac.at/record/998
DOI: 10.1109/CVPR.2017.587
WoS: 000418371405066

Sachdeva, H., &; Barton, N. H. (2017). Divergence and evolution of assortative mating in a polygenic trait model of speciation with gene flow. Evolution; International Journal of Organic Evolution. Wiley-Blackwell.https://doi.org/10.1111/evo.13252 
LibreCat: https://research-explorer.ista.ac.at/record/990
DOI: 10.1111/evo.13252
WoS: 000403014800005
PMID: 28419447

Nanda, G., Aguilera Servin, J. L., Rakyta, P., Kormányos, A., Kleiner, R., Koelle, D.,https://doi.org/10.1021/acs.nanolett.7b00097__Goswami, S. (2017). Current-phase relation of ballistic graphene Josephson junctions. Nano Letters. American Chemical Society.https://doi.org/10.1021/acs.nanolett.7b00097 
LibreCat: https://research-explorer.ista.ac.at/record/988
DOI: 10.1021/acs.nanolett.7b00097
WoS: 000403631600011

Levina (Martius), A., &; Priesemann, V. (2017). Subsampling scaling. Nature Communications. Nature Publishing Group.https://doi.org/10.1038/ncomms15140 
LibreCat: https://research-explorer.ista.ac.at/record/993
DOI: 10.1038/ncomms15140
WoS: 000400560700001

Bighin, G., &; Lemeshko, M. (2017). Diagrammatic approach to orbital quantum impurities interacting with a many-particle environment. Physical Review B - Condensed Matter and Materials Physics. American Physical Society.https://doi.org/10.1103/PhysRevB.96.085410 
LibreCat: https://research-explorer.ista.ac.at/record/995
DOI: 10.1103/PhysRevB.96.085410
WoS: 000407017100009

Maas, J., Rumpf, M., &; Simon, S. (2017). Transport based image morphing with intensity modulation. In F. Lauze, Y. Dong, &; A. Bjorholm Dahl (Eds.) (Vol. 10302, pp. 563–577). Presented at the SSVM:  Scale Space and Variational Methods in Computer Vision, Kolding, Denmark: Springer.https://doi.org/10.1007/978-3-319-58771-4_45 
LibreCat: https://research-explorer.ista.ac.at/record/989
DOI: 10.1007/978-3-319-58771-4_45
WoS: 000432210900045

Cherepanov, I., &; Lemeshko, M. (2017). Fingerprints of angulon instabilities in the spectra of matrix-isolated molecules. Physical Review Materials. American Physical Society.https://doi.org/10.1103/PhysRevMaterials.1.035602 
LibreCat: https://research-explorer.ista.ac.at/record/994
DOI: 10.1103/PhysRevMaterials.1.035602
WoS: 000416564000004

Chen, C., &; Jonas, P. M. (2017). Synaptotagmins: That’s why so many. Neuron. Elsevier.https://doi.org/10.1016/j.neuron.2017.05.011 
LibreCat: https://research-explorer.ista.ac.at/record/991
DOI: 10.1016/j.neuron.2017.05.011
WoS: 000401415100002

Lagator, M., Paixao, T., Barton, N. H., Bollback, J. P., &; Guet, C. C. (2017). On the mechanistic nature of epistasis in a canonical cis-regulatory element. ELife. eLife Sciences Publications.https://doi.org/10.7554/eLife.25192 
LibreCat: https://research-explorer.ista.ac.at/record/954
DOI: 10.7554/eLife.25192
WoS: 000404024800001

Friedlander, T., Prizak, R., Barton, N. H., &; Tkadik, G. (2017). Evolution of new regulatory functions on biophysically realistic fitness landscapes. Nature Communications. Nature Publishing Group.https://doi.org/10.1038/s41467-017-00238-8 
LibreCat: https://research-explorer.ista.ac.at/record/955
DOI: 10.1038/s41467-017-00238-8
WoS: 000407198800005

Trinh, M., Chu, D. H., &; Jaffar, J. (2017). Model counting for recursively-defined strings. In R. Majumdar &; V. Kundak (Eds.) (Vol. 10427, pp. 399–418). Presented at the CAV: Computer Aided Verification, Heidelberg, Germany: Springer.https://doi.org/10.1007/978-3-319-63390-9_21 
LibreCat: https://research-explorer.ista.ac.at/record/962
DOI: 10.1007/978-3-319-63390-9_21
WoS: 000431900900021

Charlesworth, D., Barton, N. H., &; Charlesworth, B. (2017). The sources of adaptive evolution. Proceedings of the Royal Society of London Series B Biological Sciences. Royal Society, The.https://doi.org/10.1098/rspb.2016.2864 
LibreCat: https://research-explorer.ista.ac.at/record/953
DOI: 10.1098/rspb.2016.2864
WoS: 000405148800021
PMID: 28566483

De Martino, D. (2017). Scales and multimodal flux distributions in stationary metabolic network models via thermodynamics. https://doi.org/10.1103/PhysRevE.95.062419__Physical Review E Statistical Nonlinear and Soft Matter Physics . American Institute of Physics.https://doi.org/10.1103/PhysRevE.95.062419 
LibreCat: https://research-explorer.ista.ac.at/record/959
DOI: 10.1103/PhysRevE.95.062419
WoS: 000404546400004

Carlen, E., &; Maas, J. (2017). Gradient flow and entropy inequalities for quantum Markov semigroups with detailed balance. Journal of Functional Analysis. Academic Press.https://doi.org/10.1016/j.jfa.2017.05.003 
LibreCat: https://research-explorer.ista.ac.at/record/956
DOI: 10.1016/j.jfa.2017.05.003
WoS: 000406082300005

Turelli, M., &; Barton, N. H. (2017). Deploying dengue-suppressing Wolbachia: Robust models predict slow but effective spatial spread in Aedes aegypti. Theoretical Population Biology. Elsevier.https://doi.org/10.1016/j.tpb.2017.03.003 
LibreCat: https://research-explorer.ista.ac.at/record/952
DOI: 10.1016/j.tpb.2017.03.003
PMID: 28411063

Schmidt, T., Barton, N. H., Rasic, G., Turley, A., Montgomery, B., Iturbe Ormaetxe, I.,https://doi.org/10.1371/journal.pbio.2001894__Turelli, M. (2017). Local introduction and heterogeneous spatial spread of dengue-suppressing Wolbachia through an urban population of Aedes Aegypti. PLoS Biology. Public Library of Science.https://doi.org/10.1371/journal.pbio.2001894 
LibreCat: https://research-explorer.ista.ac.at/record/951
DOI: 10.1371/journal.pbio.2001894
WoS: 000402520000012

De Martino, D., Capuani, F., &; De Martino, A. (2017). Quantifying the entropic cost of cellular growth control. https://doi.org/10.1103/PhysRevE.96.010401__Physical Review E Statistical Nonlinear and Soft Matter Physics . American Institute of Physics.https://doi.org/10.1103/PhysRevE.96.010401 
LibreCat: https://research-explorer.ista.ac.at/record/947
DOI: 10.1103/PhysRevE.96.010401
WoS: 000405194200002