Virk, Z., &; Zastrow, A. (2017). A new topology on the universal path space. Topology and Its Applications. Elsevier.https://doi.org/10.1016/j.topol.2017.09.015 

Bao, Z., Erdös, L., &; Schnelli, K. (2017). Convergence rate for spectral distribution of addition of random matrices. Advances in Mathematics. Academic Press.https://doi.org/10.1016/j.aim.2017.08.028 

Vukusi, L., Kukucka, J., Watzinger, H., &; Katsaros, G. (2017). Fast hole tunneling times in germanium hut wires probed by single-shot reflectometry. Nano Letters. American Chemical Society.https://doi.org/10.1021/acs.nanolett.7b02627 

Giehr, J., Grasse, A. V., Cremer, S., Heinze, J., &; Schrempf, A. (2017). Ant queens increase their reproductive efforts after pathogen infection. Royal Society Open Science. Royal Society, The.https://doi.org/10.1098/rsos.170547 

Novak, S., &; Barton, N. H. (2017). When does frequency-independent selection maintain genetic variation? Genetics. Genetics Society of America.https://doi.org/10.1534/genetics.117.300129 

Makhijani, K., Alexander, B., Rao, D., Petraki, S., Herboso, L., Kukar, K.,https://doi.org/10.1038/ncomms15990__Brückner, K. (2017). Regulation of Drosophila hematopoietic sites by Activin-;2 from active sensory neurons. Nature Communications. Nature Publishing Group.https://doi.org/10.1038/ncomms15990 

Ethier, M., Jablonski, G., &; Mrozek, M. (2017). Finding eigenvalues of self-maps with the Kronecker canonical form. In Special Sessions in Applications of Computer Algebra (Vol. 198, pp. 119–136). Kalamata, Greece: Springer.https://doi.org/10.1007/978-3-319-56932-1_8 

Swoboda, P., Rother, C., Abu Alhaija, C., Kainmueller, D., &; Savchynskyy, B. (2017). A study of lagrangean decompositions and dual ascent solvers for graph matching (Vol. 2017, pp. 7062–7071). Presented at the CVPR: Computer Vision and Pattern Recognition, Honolulu, HA, United States: IEEE.https://doi.org/10.1109/CVPR.2017.747 

Swoboda, P., &; Andres, B. (2017). A message passing algorithm for the minimum cost multicut problem (Vol. 2017, pp. 4990–4999). Presented at the CVPR: Computer Vision and Pattern Recognition, Honolulu, HA, United States: IEEE.https://doi.org/10.1109/CVPR.2017.530 

Swoboda, P., Kuske, J., &; Savchynskyy, B. (2017). A dual ascent framework for Lagrangean decomposition of combinatorial problems (Vol. 2017, pp. 4950–4960). Presented at the CVPR: Computer Vision and Pattern Recognition, Honolulu, HA, United States: IEEE.https://doi.org/10.1109/CVPR.2017.526