Ferrere, T., Maler, O., &; Nickovic, D. (2019). Mixed-time signal temporal logic. In 17th International Conference on Formal Modeling and Analysis of Timed Systems (Vol. 11750, pp. 59–75). Amsterdam, The Netherlands: Springer Nature.https://doi.org/10.1007/978-3-030-29662-9_4 

Sahgal, P., Alanko, J. H., Icha, J., Paatero, I., Hamidi, H., Arjonen, A.,https://doi.org/10.1242/jcs.233387__Ivaska, J. (2019). GG and RA promote activity-dependent ;21-integrin recycling. Journal of Cell Science. The Company of Biologists.https://doi.org/10.1242/jcs.233387 

Akemann, G., Checinski, T., Liu, D., &; Strahov, E. (2019). Finite rank perturbations in products of coupled random matrices: From one correlated to two Wishart ensembles. Annales de l’Institut Henri Poincaré, Probabilités et Statistiques. Institute of Mathematical Statistics.https://doi.org/10.1214/18-aihp888 

Toups, M. A., Rodrigues, N., Perrin, N., &; Kirkpatrick, M. (2019). A reciprocal translocation radically reshapes sexlinked inheritance in the common frog. Molecular Ecology. Wiley.https://doi.org/10.1111/mec.14990 

Abusalah, H. M., Kamath Hosdurg, C., Klein, K., Pietrzak, K. Z., &; Walter, M. (2019). Reversible proofs of sequential work. In Advances in Cryptology – EUROCRYPT 2019 (Vol. 11477, pp. 277–291). Darmstadt, Germany: Springer International Publishing.https://doi.org/10.1007/978-3-030-17656-3_10 

Mckenzie, C., Spanova, M., Johnson, A. J., Kainrath, S., Zheden, V., Sitte, H. H., &; Janovjak, H. L. (2019). Isolation of synaptic vesicles from genetically engineered cultured neurons. Journal of Neuroscience Methods. Elsevier.https://doi.org/10.1016/j.jneumeth.2018.11.018 

Yu, C., Tang, H., Renggli, C., Kassing, S., Singla, A., Alistarh, D.-A.,  Liu, J. (2019). Distributed learning over unreliable networks. In 36th International Conference on Machine Learning, ICML 2019 (Vol. 2019–June, pp. 12481–12512). Long Beach, CA, United States: IMLS.

Achlioptas, D., Iliopoulos, F., &; Kolmogorov, V. (2019). A local lemma for focused stochastical algorithms. SIAM Journal on Computing. SIAM.https://doi.org/10.1137/16m109332x 

Karlík, O., Sik, M., Vévoda, P., Skrivan, T., &; Kivánek, J. (2019). MIS compensation: Optimizing sampling techniques in multiple importance sampling. ACM Transactions on Graphics. ACM.https://doi.org/10.1145/3355089.3356565 

Boccato, C., Brennecke, C., Cenatiempo, S., &; Schlein, B. (2019). Bogoliubov theory in the Gross–Pitaevskii limit. Acta Mathematica. International Press of Boston.https://doi.org/10.4310/acta.2019.v222.n2.a1 

Morales, H. E., Faria, R., Johannesson, K., Larsson, T., Panova, M., Westram, A. M., &; Butlin, R. K. (2019). Genomic architecture of parallel ecological divergence: Beyond a single environmental contrast. Science Advances. AAAS.https://doi.org/10.1126/sciadv.aav9963 

Lopez Alonso, J. M., Choueiri, G. H., &; Hof, B. (2019). Dynamics of viscoelastic pipe flow at low Reynolds numbers in the maximum drag reduction limit. Journal of Fluid Mechanics. CUP.https://doi.org/10.1017/jfm.2019.486 

Edelsbrunner, H., &; Nikitenko, A. (2019). Poisson–Delaunay Mosaics of Order k. Discrete and Computational Geometry. Springer.https://doi.org/10.1007/s00454-018-0049-2 

Xu, H., Baracskay, P., O’Neill, J., &; Csicsvari, J. L. (2019). Assembly responses of hippocampal C place cells predict learned behavior in goal-directed spatial tasks on the radial eight-arm maze. Neuron. Elsevier.https://doi.org/10.1016/j.neuron.2018.11.015 

Moser, T., &; Seiringer, R. (2019). Energy contribution of a point-interacting impurity in a Fermi gas. Annales Henri Poincare. Springer.https://doi.org/10.1007/s00023-018-00757-0 

Paranjape, C. S. (2019). Onset of turbulence in plane Poiseuille flow. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:6957 

Erdös, L., Krüger, T. H., &; Schröder, D. J. (2019). Random matrices with slow correlation decay. Forum of Mathematics, Sigma. Cambridge University Press.https://doi.org/10.1017/fms.2019.2 

Cipolloni, G., Erdös, L., Krüger, T. H., &; Schröder, D. J. (2019). Cusp universality for random matrices, II: The real symmetric case. Pure and Applied Analysis . MSP.https://doi.org/10.2140/paa.2019.1.615 

Cepeda Humerez, S. A., Ruess, J., &; Tkadik, G. (2019). Estimating information in time-varying signals. PLoS Computational Biology. Public Library of Science.https://doi.org/10.1371/journal.pcbi.1007290 

Dejonghe, W., Sharma, I., Denoo, B., De Munck, S., Lu, Q., Mishev, K.,https://doi.org/10.1038/s41589-019-0262-1__Russinova, E. (2019). Disruption of endocytosis through chemical inhibition of clathrin heavy chain function. Nature Chemical Biology. Springer Nature.https://doi.org/10.1038/s41589-019-0262-1 

Schwayer, C. (2019). Mechanosensation of tight junctions depends on ZO-1 phase separation and flow. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:7186 

Zhechev, S. Y. (2019). Algorithmic aspects of homotopy theory and embeddability. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:6681 

Avvakumov, S., &; Kudrya, S. (n.d.). Vanishing of all equivariant obstructions and the mapping degree. arXiv. arXiv.

Avvakumov, S., &; Karasev, R. (n.d.). Envy-free division using mapping degree. arXiv.https://doi.org/10.48550/arXiv.1907.11183 

Deuchert, A., Mayer, S., &; Seiringer, R. (n.d.). The free energy of the two-dimensional dilute Bose gas. I. Lower bound. arXiv:1910.03372. ArXiv.

Edelsbrunner, H., &; Ölsböck, K. (2019). Holes and dependences in an ordered complex. Computer Aided Geometric Design. Elsevier.https://doi.org/10.1016/j.cagd.2019.06.003 

Choudhuri, A. R., Hubádek, P., Kamath Hosdurg, C., Pietrzak, K. Z., Rosen, A., &; Rothblum, G. N. (2019). Finding a Nash equilibrium is no easier than breaking Fiat-Shamir. In Proceedings of the 51st Annual ACM SIGACT Symposium on Theory of Computing  - STOC 2019 (pp. 1103–1114). Phoenix, AZ, United States: ACM Press.https://doi.org/10.1145/3313276.3316400 

Lubiw, A., Masárová, Z., &; Wagner, U. (2019). A proof of the orbit conjecture for flipping edge-labelled triangulations. Discrete &; Computational Geometry. Springer Nature.https://doi.org/10.1007/s00454-018-0035-8 

Li, X., Bighin, G., Yakaboylu, E., &; Lemeshko, M. (2019). Variational approaches to quantum impurities: from the Fröhlich polaron to the angulon. Molecular Physics. Taylor and Francis.https://doi.org/10.1080/00268976.2019.1567852 

Huszár, K., &; Spreer, J. (2019). 3-manifold triangulations with small treewidth. In 35th International Symposium on Computational Geometry (Vol. 129, p. 44:1-44:20). Portland, Oregon, United States: Schloss Dagstuhl - Leibniz-Zentrum für Informatik.https://doi.org/10.4230/LIPIcs.SoCG.2019.44 

Huszár, K., Spreer, J., &; Wagner, U. (2019). On the treewidth of triangulated 3-manifolds. Journal of Computational Geometry. Computational Geometry Laborartoy.https://doi.org/10.20382/JOGC.V10I2A5 

Dos Santos Caldas, P. R., Lopez Pelegrin, M. D., Pearce, D. J. G., Budanur, N. B., Brugués, J., &; Loose, M. (2019). Cooperative ordering of treadmilling filaments in cytoskeletal networks of FtsZ and its crosslinker ZapA. Nature Communications. Springer Nature.https://doi.org/10.1038/s41467-019-13702-4 

Tkadlec, J., Pavlogiannis, A., Chatterjee, K., &; Nowak, M. A. (2019). Population structure determines the tradeoff between fixation probability and fixation time. Communications Biology. Springer Nature.https://doi.org/10.1038/s42003-019-0373-y 

Chatterjee, K., Pavlogiannis, A., &; Toman, V. (2019). Value-centric dynamic partial order reduction. In Proceedings of the 34th ACM International Conference on Object-Oriented Programming, Systems, Languages, and Applications (Vol. 3). Athens, Greece: ACM.https://doi.org/10.1145/3360550 

Alistarh, D.-A., Nadiradze, G., &; Koval, N. (2019). Efficiency guarantees for parallel incremental algorithms under relaxed schedulers. In 31st ACM Symposium on Parallelism in Algorithms and Architectures (pp. 145–154). Phoenix, AZ, United States: ACM Press.https://doi.org/10.1145/3323165.3323201 

Erdem, F. A., Ilic, M., Koppensteiner, P., Goacki, J., Lubec, G., Freissmuth, M., &; Sandtner, W. (2019). A comparison of the transport kinetics of glycine transporter 1 and glycine transporter 2. The Journal of General Physiology. Rockefeller University Press.https://doi.org/10.1085/jgp.201912318 

Letts, J. A., Fiedorczuk, K., Degliesposti, G., Skehel, M., &; Sazanov, L. A. (2019). Structures of respiratory supercomplex I+II reveal functional and conformational crosstalk. Molecular Cell. Cell Press.https://doi.org/10.1016/j.molcel.2019.07.022 

Dura-Bernal, S., Suter, B., Gleeson, P., Cantarelli, M., Quintana, A., Rodriguez, F.,https://doi.org/10.7554/elife.44494__Lytton, W. W. (2019). NetPyNE, a tool for data-driven multiscale modeling of brain circuits. ELife. eLife Sciences Publications.https://doi.org/10.7554/elife.44494 

Veltsos, P., Ridout, K. E., Toups, M. A., González-Martínez, S. C., Muyle, A., Emery, O.,https://doi.org/10.1534/genetics.119.302045__Pannell, J. R. (2019). Early sex-chromosome evolution in the diploid dioecious plant Mercurialis annua. Genetics. Genetics Society of America.https://doi.org/10.1534/genetics.119.302045 

Stürner, T., Tatarnikova, A., Müller, J., Schaffran, B., Cuntz, H., Zhang, Y.,https://doi.org/10.1242/dev.171397__Tavosanis, G. (2019). Transient localization of the Ar/3 complex initiates neuronal dendrite branching in vivo. Development. The Company of Biologists.https://doi.org/10.1242/dev.171397 

Chatterjee, K., &; Doyen, L. (2019). Graph planning with expected finite horizon. In 34th Annual ACM/IEEE Symposium on Logic in Computer Science (pp. 1–13). Vancouver, BC, Canada: IEEE.https://doi.org/10.1109/lics.2019.8785706 

Vukics, A., Dombi, A., Fink, J. M., &; Domokos, P. (2019). Finite-size scaling of the photon-blockade breakdown dissipative quantum phase transition. Quantum. Verein zur Förderung des Open Access Publizierens in den Quantenwissenschaften.https://doi.org/10.22331/q-2019-06-03-150 

Swoboda, P., &; Kolmogorov, V. (2019). Map inference via block-coordinate Frank-Wolfe algorithm. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Vol. 2019–June). Long Beach, CA, United States: IEEE.https://doi.org/10.1109/CVPR.2019.01140 

Morandell, J., Nicolas, A., Schwarz, L. A., &; Novarino, G. (2019). S.16.05 Illuminating the role of the e3 ubiquitin ligase cullin3 in brain development and autism. European Neuropsychopharmacology. Elsevier.https://doi.org/10.1016/j.euroneuro.2019.09.040 

Knaus, L., Tarlungeanu, D.-C., &; Novarino, G. (2019). S.16.03 A homozygous missense mutation in SL leads to autism spectrum disorder and microcephaly. European Neuropsychopharmacology. Elsevier.https://doi.org/10.1016/j.euroneuro.2019.09.039 

Benková, E., &; Dagdas, Y. (2019). Editorial overview: Cell biology in the era of omics? Current Opinion in Plant Biology. Elsevier.https://doi.org/10.1016/j.pbi.2019.11.002 

Phuong, M., &; Lampert, C. (2019). Distillation-based training for multi-exit architectures. In IEEE International Conference on Computer Vision (Vol. 2019–October, pp. 1355–1364). Seoul, Korea: IEEE.https://doi.org/10.1109/ICCV.2019.00144 

Wendler, C., Alistarh, D.-A., &; Püschel, M. (2019). Powerset convolutional neural networks (Vol. 32, pp. 927–938). Presented at the NIPS: Conference on Neural Information Processing Systems, Vancouver, Canada: Neural Information Processing Systems Foundation.

Cremer, S., &; Kutzer, M. (2019). Social immunity. In J. Choe (Ed.), Encyclopedia of Animal Behavior (2nd ed., pp. 747–755). Elsevier.https://doi.org/10.1016/B978-0-12-809633-8.90721-0 

Laccone, F., Malomo, L., Perez Rodriguez, J., Pietroni, N., Ponchio, F., Bickel, B., &; Cignoni, P. (2019). FlexMaps Pavilion: A twisted arc made of mesostructured flat flexible panels. In IASS Symposium 2019 - 60th Anniversary Symposium of the International Association for Shell and Spatial Structures; Structural Membranes 2019 - 9th International Conference on Textile Composites and Inflatable Structures, FORM and FORCE (pp. 509–515). Barcelona, Spain: International Center for Numerical Methods in Engineering.