Botella Soler, V., Deny, S., Martius, G. S., Marre, O., &; Tkadik, G. (2018). Nonlinear decoding of a complex movie from the mammalian retina. PLoS Computational Biology. Public Library of Science.https://doi.org/10.1371/journal.pcbi.1006057 

Nikolic, N., Bergmiller, T., Vandervelde, A., Albanese, T., Gelens, L., &; Moll, I. (2018). Autoregulation of mazEF expression underlies growth heterogeneity in bacterial populations. Nucleic Acids Research. Oxford University Press.https://doi.org/10.1093/nar/gky079 

Picard, M. A. L., Cosseau, C., Ferré, S., Quack, T., Grevelding, C., Couté, Y., &; Vicoso, B. (2018). Evolution of gene dosage on the Z-chromosome of schistosome parasites. ELife. eLife Sciences Publications.https://doi.org/10.7554/eLife.35684 

Deny, S., Marre, O., Botella-Soler, V., Martius, G. S., &; Tkadik, G. (2018). Nonlinear decoding of a complex movie from the mammalian retina. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:98 

Vicoso, B. (2018). Input files and scripts from “Evolution of gene dosage on the Z-chromosome of schistosome parasites”https://doi.org/10.15479/AT:ISTA:109__by Picard M.A.L., et al (2018). Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:109 

Ellis, T. (2018). Data and Python scripts supporting Python package FAPS. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:95 

Bergmiller, T., &; Nikolic, N. (2018). Time-lapse microscopy data. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:74 

De Martino, D., Mc, A. A., Bergmiller, T., Guet, C. C., &; Tkadik, G. (2018). Statistical mechanics for metabolic networks during steady state growth. Nature Communications. Springer Nature.https://doi.org/10.1038/s41467-018-05417-9 

De Martino, D., &; Tkadik, G. (2018). Supporting materials “STATISTICAL MECHANICS FOR METABOLIC NETWORKS IN STEADY-STATE GROWTH.”https://doi.org/10.15479/AT:ISTA:62__Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:62 

Kelemen, R. K., &; Vicoso, B. (2018). Complex history and differentiation patterns of the t-haplotype, a mouse meiotic driver. Genetics. Genetics Society of America.https://doi.org/10.1534/genetics.117.300513 

Pavlogiannis, A., Tkadlec, J., Chatterjee, K., &; Nowak, M. A. (2018). Construction of arbitrarily strong amplifiers of natural selection using evolutionary graph theory. Communications Biology. Springer Nature.https://doi.org/10.1038/s42003-018-0078-7 

Fraisse, C. (2018). Supplementary Files for “Pleiotropy modulates the efficacy of selection in Drosophila melanogaster.”https://doi.org/10.15479/at:ista:/5757__Institute of Science and Technology Austria.https://doi.org/10.15479/at:ista:/5757 

Alt, J. (2018). Dyson equation and eigenvalue statistics of random matrices. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:TH_1040 

Rzadkowski, W., &; Lemeshko, M. (2018). Effect of a magnetic field on molecule–solvent angular momentum transfer. The Journal of Chemical Physics. AIP Publishing.https://doi.org/10.1063/1.5017591 

Jeschke, S., Skrivan, T., Mueller Fischer, M., Chentanez, N., Macklin, M., &; Wojtan, C. (2018). Water surface wavelets. ACM Transactions on Graphics. ACM.https://doi.org/10.1145/3197517.3201336 

Bighin, G., Tscherbul, T., &; Lemeshko, M. (2018). Diagrammatic Monte Carlo approach to angular momentum in quantum many-particle systems. Physical Review Letters. American Physical Society.https://doi.org/10.1103/physrevlett.121.165301 

Bighin, G., Tscherbul, T., &; Lemeshko, M. (2018). Diagrammatic Monte Carlo approach to rotating molecular impurities. Physical Review Letters. American Physical Society.https://doi.org/10.1103/PhysRevLett.121.165301 

Fazeli, A., Hassani, H., Mondelli, M., &; Vardy, A. (2018). Binary linear codes with optimal scaling: Polar codes with large kernels. In 2018 IEEE Information Theory Workshop (pp. 1–5). Guangzhou, China: IEEE.https://doi.org/10.1109/itw.2018.8613428 

Rosa, A. D., Uttley, P., Gou, L., Liu, Y., Bambi, C., Barret, D.,https://doi.org/10.1007/s11433-018-9297-0__Zhou, X. (2018). Accretion in strong field gravity with eXTP. Science China Physics, Mechanics &; Astronomy. Springer Nature.https://doi.org/10.1007/s11433-018-9297-0 

Santangelo, A., Zane, S., Feng, H., Xu, R., Doroshenko, V., Bozzo, E.,https://doi.org/10.1007/s11433-018-9234-3__Zhan, S.-N. (2018). Physics and astrophysics of strong magnetic field systems with eXTP. Science China Physics, Mechanics &; Astronomy. Springer Nature.https://doi.org/10.1007/s11433-018-9234-3 

Ng, C., Kruckow, M. U., Tauris, T. M., Lyne, A. G., Freire, P. C. C., Ridolfi, A.,https://doi.org/10.1093/mnras/sty482__Stappers, B. (2018). PSR J17552550: A young radio pulsar with a massive, compact companion. Monthly Notices of the Royal Astronomical Society. Oxford University Press.https://doi.org/10.1093/mnras/sty482 

Caiazzo, I., &; Heyl, J. (2018). Vacuum birefringence and the x-ray polarization from black-hole accretion disks. Physical Review D. American Physical Society.https://doi.org/10.1103/physrevd.97.083001 

Chen, S., Richer, H., Caiazzo, I., &; Heyl, J. (2018). Distances to the globular clusters 47 Tucanae and NGC 362 using Gaia D parallaxes. The Astrophysical Journal. American Astronomical Society.https://doi.org/10.3847/1538-4357/aae089 

Caiazzo, I., &; Heyl, J. (2018). Probing black hole magnetic fields with QED. Galaxies. MDPI.https://doi.org/10.3390/galaxies6020057 

Heyl, J., &; Caiazzo, I. (2018). Strongly magnetized sources: QED and X-ray polarization. Galaxies. MDPI.https://doi.org/10.3390/galaxies6030076 

Bravo, J. P. K., Borodavka, A., Barth, A., Calabrese, A. N., Mojzes, P., Cockburn, J. J. B.,https://doi.org/10.1093/nar/gky394__Tuma, R. (2018). Stability of local secondary structure determines selectivity of viral RNA chaperones. Nucleic Acids Research. Oxford University Press.https://doi.org/10.1093/nar/gky394 

Adamowski, M., Narasimhan, M., Kania, U., Glanc, M., De Jaeger, G., &; Friml, J. (2018). A functional study of AUXILIN LIK and 2 two putative clathrin uncoating factors in Arabidopsis. The Plant Cell. American Society of Plant Biologists.https://doi.org/10.1105/tpc.17.00785 

Brown, M., Assen, F. P., Leithner, A. F., Abe, J., Schachner, H., Asfour, G.,https://doi.org/10.1126/science.aal3662__Kerjaschki, D. (2018). Lymph node blood vessels provide exit routes for metastatic tumor cell dissemination in mice. Science. American Association for the Advancement of Science.https://doi.org/10.1126/science.aal3662 

Tarlungeanu, D.-C. (2018). The branched chain amino acids in autism spectrum disorders . Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:th_992 

Case, M. J. (2018). From the left to the right: A tale of asymmetries, environments, and hippocampal development. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:th_1032 

Laukoter, S. (2018). Role of genomic imprinting in cerebral cortex development. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:th1057 

Leithner, A. F. (2018). Branched actin networks in dendritic cell biology. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:th_998 

Hurny, A. (2018). Identification and characterization of novel auxin-cytokinin cross-talk components. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:th_930 

Gridchyn, I. (2018). Reactivation content is important for consolidation of spatial memory. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:th_1042 

Belyaeva, V. (2018). Transcriptional regulation of macrophage migration in the Drosophila melanogaster embryo . Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:th1064 

Mckenzie, C. (2018). Design and characterization of methods and biological components to realize synthetic neurotransmission . Institute of Science and Technology Austria.https://doi.org/10.15479/at:ista:th_1055 

Capek, D. (2018). Optogenetic Frizzled 7 reveals a permissive function of Wnt/PCP signaling in directed mesenchymal cell migration. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:TH_1031 

Steinrück, M. (2018). The influence of sequence context on the evolution of bacterial gene expression. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:th1059 

Hollmann, A., Jirovec, D., Kucharski, M., Kissinger, D., Fischer, G., &; Schreiber, L. R. (2018). 30 GHz-voltage controlled oscillator operating at 4 K. Review of Scientific Instruments. AIP Publishing.https://doi.org/10.1063/1.5038258 

Lukacisinova, M. (2018). Genetic determinants of antibiotic resistance evolution. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:th1072 

György, A., Roblek, M., Ratheesh, A., Valosková, K., Belyaeva, V., Wachner, S.,https://doi.org/10.1534/g3.117.300452__Siekhaus, D. E. (2018). Tools allowing independent visualization and genetic manipulation of Drosophila melanogaster macrophages and surrounding tissues. : Genes, Genomes, Genetics. Genetics Society of America.https://doi.org/10.1534/g3.117.300452 

Luján, R., Aguado, C., Ciruela, F., Cózar, J., Kleindienst, D., De La Ossa, L.,https://doi.org/10.1007/s00429-017-1568-y__Fukazawa, Y. (2018). Differential association of GABAB receptors with their effector ion channels in Purkinje cells. Brain Structure and Function. Springer.https://doi.org/10.1007/s00429-017-1568-y 

Espinoza Martinez, C., Guzmán, J., Zhang, X., &; Jonas, P. M. (2018). Parvalbumin+ interneurons obey unique connectivity rules and establish a powerful lateral-inhibition microcircuit in dentate gyrus. Nature Communications. Nature Publishing Group.https://doi.org/10.1038/s41467-018-06899-3 

Chatterjee, K., Goharshady, A. K., Ibsen-Jensen, R., &; Velner, Y. (2018). Ergodic mean-payoff games for the analysis of attacks in crypto-currencies (Vol. 118). Presented at the CONCUR: Conference on Concurrency Theory, Beijing, China: Schloss Dagstuhl - Leibniz-Zentrum für Informatik.https://doi.org/10.4230/LIPIcs.CONCUR.2018.11 

Chatterjee, K., Goharshady, A. K., &; Velner, Y. (2018). Quantitative analysis of smart contracts (Vol. 10801, pp. 739–767). Presented at the ESOP: European Symposium on Programming, Thessaloniki, Greece: Springer.https://doi.org/10.1007/978-3-319-89884-1_26 

Goharshady, A. K., Behrouz, A., &; Chatterjee, K. (2018). Secure Credit Reporting on the Blockchain. In Proceedings of the IEEE International Conference on Blockchain (pp. 1343–1348). Halifax, Canada: IEEE.https://doi.org/10.1109/Cybermatics_2018.2018.00231 

Chatterjee, K., Ibsen-Jensen, R., Goharshady, A. K., &; Pavlogiannis, A. (2018). Algorithms for algebraic path properties in concurrent systems of constant treewidth components. ACM Transactions on Programming Languages and Systems. Association for Computing Machinery (ACM).https://doi.org/10.1145/3210257 

Chatterjee, K., Fu, H., Goharshady, A. K., &; Okati, N. (2018). Computational approaches for stochastic shortest path on succinct MDPs. In Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence (Vol. 2018, pp. 4700–4707). Stockholm, Sweden: IJCAI.https://doi.org/10.24963/ijcai.2018/653 

Kühnen, J., Scarselli, D., Schaner, M., &; Hof, B. (2018). Relaminarization by steady modification of the streamwise velocity profile in a pipe. Flow Turbulence and Combustion. Springer.https://doi.org/10.1007/s10494-018-9896-4 

Kühnen, J., Song, B., Scarselli, D., Budanur, N. B., Riedl, M., Willis, A.,https://doi.org/10.1038/s41567-017-0018-3__Hof, B. (2018). Destabilizing turbulence in pipe flow. Nature Physics. Nature Publishing Group.https://doi.org/10.1038/s41567-017-0018-3 

Prat, T., Hajny, J., Grunewald, W., Vasileva, M. K., Molnar, G., Tejos, R.,https://doi.org/10.1371/journal.pgen.1007177__Friml, J. (2018). WRK is a component of the transcriptional network mediating auxin feedback on PIN polarity. PLoS Genetics. Public Library of Science.https://doi.org/10.1371/journal.pgen.1007177 

Grones, P., Abas, M. F., Hajny, J., Jones, A., Waidmann, S., Kleine Vehn, J., &; Friml, J. (2018). PID/WAG-mediated phosphorylation of the Arabidopsis PIN3 auxin transporter mediates polarity switches during gravitropism. Scientific Reports. Springer.https://doi.org/10.1038/s41598-018-28188-1 

Hons, M., Kopf, A., Hauschild, R., Leithner, A. F., Gärtner, F. R., Abe, J.,https://doi.org/10.1038/s41590-018-0109-z__Sixt, M. K. (2018). Chemokines and integrins independently tune actin flow and substrate friction during intranodal migration of T cells. Nature Immunology. Nature Publishing Group.https://doi.org/10.1038/s41590-018-0109-z 

Li, L., Krens, G., Fendrych, M., &; Friml, J. (2018). Real-time analysis of auxin response, cell wall pH and elongation in Arabidopsis thaliana Hypocotyls. Bio-Protocol. Bio-protocol.https://doi.org/10.21769/BioProtoc.2685 

Deliu, E., Arecco, N., Morandell, J., Dotter, C., Contreras, X., Girardot, C.,https://doi.org/10.1038/s41593-018-0266-2__Novarino, G. (2018). Haploinsufficiency of the intellectual disability gene SET disturbs developmental gene expression and cognition. Nature Neuroscience. Nature Publishing Group.https://doi.org/10.1038/s41593-018-0266-2 

Hilbe, C., Schmid, L., Tkadlec, J., Chatterjee, K., &; Nowak, M. (2018). Indirect reciprocity with private, noisy, and incomplete information. PNAS. National Academy of Sciences.https://doi.org/10.1073/pnas.1810565115 

Igler, C., Lagator, M., Tkadik, G., Bollback, J. P., &; Guet, C. C. (2018). Evolutionary potential of transcription factors for gene regulatory rewiring. Nature Ecology and Evolution. Nature Publishing Group.https://doi.org/10.1038/s41559-018-0651-y 

Igler, C., Lagator, M., Tkadik, G., Bollback, J. P., &; Guet, C. C. (2018). Data for the paper Evolutionary potential of transcription factors for gene regulatory rewiring. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:108 

Rangel Guerrero, D. K., Donnett, J. G., Csicsvari, J. L., &; Kovács, K. (2018). Tetrode recording from the hippocampus of behaving mice coupled with four-point-irradiation closed-loop optogenetics: A technique to study the contribution of Hippocampal SWR events to learning. ENeuro. Society of Neuroscience.https://doi.org/10.1523/ENEURO.0087-18.2018 

Fink, J. M. (2017). Viewpoint: Microwave quantum states beat the heat. Physics. American Physical Society.https://doi.org/10.1103/Physics.10.32 

Vahid Belarghou, A., Sari, A., &; Idema, T. (2017). Curvature mediated interactions in highly curved membranes. Biophysical Journal. Elsevier .https://doi.org/10.1016/j.bpj.2016.11.2123 

Anza Hafsa, O., Clozeau, N., &; Mandallena, J.-P. (2017). Homogenization of nonconvex unbounded singular integrals. Annales Mathématiques Blaise Pascal. Université Clermont Auvergne.https://doi.org/10.5802/ambp.367 

Albrecht, S. M., Hansen, E., Higginbotham, A. P., Kuemmeth, F., Jespersen, T., Nygård, J.,https://doi.org/10.1103/PhysRevLett.118.137701__Marcus, C. (2017). Transport signatures of quasiparticle poisoning in a majorana island. APS Physics, Physical Review Letters. American Physical Society.https://doi.org/10.1103/PhysRevLett.118.137701 

Helle, S. C. J., Feng, Q., Aebersold, M. J., Hirt, L., Grüter, R. R., Vahid, A.,https://doi.org/10.7554/elife.30292__Kornmann, B. (2017). Mechanical force induces mitochondrial fission. ELife. eLife Sciences Publications.https://doi.org/10.7554/elife.30292 

Simunovic, M., Sari, A., Henderson, J. M., Lee, K. Y. C., &; Voth, G. A. (2017). Long-range organization of membrane-curving proteins. ACS Central Science. American Chemical Society.https://doi.org/10.1021/acscentsci.7b00392 

Wirnsberger, P., Fijan, D., Lightwood, R. A., Sari, A., Dellago, C., &; Frenkel, D. (2017). Numerical evidence for thermally induced monopoles. Proceedings of the National Academy of Sciences. National Academy of Sciences.https://doi.org/10.1073/pnas.1621494114 

Meisl, G., Rajah, L., Cohen, S. A. I., Pfammatter, M., Sari, A., Hellstrand, E.,https://doi.org/10.1039/c7sc01965c__Knowles, T. P. J. (2017). Scaling behaviour and rate-determining steps in filamentous self-assembly. Chemical Science. Royal Society of Chemistry.https://doi.org/10.1039/c7sc01965c 

Vahid, A., Sari, A., &; Idema, T. (2017). Curvature variation controls particle aggregation on fluid vesicles. Soft Matter. Royal Society of Chemistry.https://doi.org/10.1039/c7sm00433h 

Mciver, A., Morgan, C., Kaminski, B. L., &; Katoen, J. P. (2017). A new proof rule for almost-sure termination. Proceedings of the ACM on Programming Languages. Los Angeles, CA, United States: Association for Computing Machinery.https://doi.org/10.1145/3158121 

Polshyn, H. (2017). Magnetic force microscopy studies of mesoscopic superconducting structures. University of Illinois at Urbana-Champaign.

Polshyn, H., Naibert, T., &; Budakian, R. (2017).  Probing and controlling fluxoid states in multiply-connected mesoscopic superconducting structures. In APS March Meeting 2017 (Vol. 62). New Orleans, LA, United States: American Physical Society.

Wenzl, B. (2017). An American in Allied-occupied Austria: John Dos Passos Reports on &;quot;The Vienna Frontier&;quot; In J. Parker &; R. Poole (Eds.), Austria and America: 20th-Century Cross-Cultural Encounters (Vol. 15, pp. 73–80). LIT Verlag Berlin-Münster-Wien-Zürich-London.

Franks, T. M., McCloskey, A., Shokhirev, M. N., Benner, C., Rathore, A., &; Hetzer, M. (2017). Nu recruits the Wdr82–Set1A/COMPASS complex to promoters to regulate K4 trimethylation in hematopoietic progenitor cells. Genes &; Development. Cold Spring Harbor Laboratory.https://doi.org/10.1101/gad.306753.117 

Toda, T., Hsu, J. Y., Linker, S. B., Hu, L., Schafer, S. T., Mertens, J.,https://doi.org/10.1016/j.stem.2017.08.012__Gage, F. H. (2017). Nu3 interacts with So to enable bimodal gene regulation and maintenance of neural progenitor cells. Cell Stem Cell. Elsevier.https://doi.org/10.1016/j.stem.2017.08.012 

Buchwalter, A., &; Hetzer, M. (2017). Nucleolar expansion and elevated protein translation in premature aging. Nature Communications. Springer Nature.https://doi.org/10.1038/s41467-017-00322-z 

Matthee, J. J., Sobral, D., Boone, F., Röttgering, H., Schaerer, D., Girard, M.,https://doi.org/10.3847/1538-4357/aa9931__Mobasher, B. (2017). ALMA reveals metals yet no dust within multiple components in C. The Astrophysical Journal. IOP Publishing.https://doi.org/10.3847/1538-4357/aa9931 

Sobral, D., Matthee, J. J., Best, P., Stroe, A., Röttgering, H., Oteo, I.,https://doi.org/10.1093/mnras/stw3090__Paulino-Afonso, A. (2017). The CALYMHA survey: Ly;1 luminosity function and global escape fraction of Ly;1 photons at z = 2.23. Monthly Notices of the Royal Astronomical Society. Oxford University Press.https://doi.org/10.1093/mnras/stw3090 

Stroe, A., Sobral, D., Matthee, J. J., Calhau, J., &; Oteo, I. (2017). A 1.4 de blind survey for C II], C III] and C IV at z c 0.7–1.5 – I. Nature, morphologies and equivalent widths . Monthly Notices of the Royal Astronomical Society. Oxford University Press.https://doi.org/10.1093/mnras/stx1712 

Matthee, J. J., Sobral, D., Best, P., Khostovan, A. A., Oteo, I., Bouwens, R., &; Röttgering, H. (2017). The production and escape of Lyman-Continuum radiation from star-forming galaxies at z c 2 and their redshift evolution. Monthly Notices of the Royal Astronomical Society. Oxford University Press.https://doi.org/10.1093/mnras/stw2973 

Stroe, A., Sobral, D., Matthee, J. J., Calhau, J., &; Oteo, I. (2017). A 1.4 de blind survey for C II], C III] and C IV at z c 0.7–1.5 – II. Luminosity functions and cosmic average line ratios. Monthly Notices of the Royal Astronomical Society. Oxford University Press.https://doi.org/10.1093/mnras/stx1713 

Matthee, J. J., Schaye, J., Crain, R. A., Schaller, M., Bower, R., &; Theuns, T. (2017). The origin of scatter in the stellar mass–halo mass relation of central galaxies in the EAGLE simulation. Monthly Notices of the Royal Astronomical Society. Oxford University Press.https://doi.org/10.1093/mnras/stw2884 

Matthee, J. J., Sobral, D., Best, P., Smail, I., Bian, F., Darvish, B.,https://doi.org/10.1093/mnras/stx1569__Fan, X. (2017). Boötes-HiZELS: An optical to near-infrared survey of emission-line galaxies at z = 0.4–4.7. Monthly Notices of the Royal Astronomical Society. Oxford University Press.https://doi.org/10.1093/mnras/stx1569 

Matthee, J. J., Sobral, D., Darvish, B., Santos, S., Mobasher, B., Paulino-Afonso, A.,https://doi.org/10.1093/mnras/stx2061__Alegre, L. (2017). Spectroscopic properties of luminous Ly;1 emitters at zhttps://doi.org/10.1093/mnras/stx2061__6–7 and comparison to the Lyman-break population. Monthly Notices of the Royal Astronomical Society. Oxford University Press.https://doi.org/10.1093/mnras/stx2061 

Turner, O. J., Cirasuolo, M., Harrison, C. M., McLure, R. J., Dunlop, J. S., Swinbank, A. M.,https://doi.org/10.1093/mnras/stx1366__Sharples, R. M. (2017). The KMOS Deep Survey (KDS) – I. Dynamical measurements of typical star-forming galaxies at zhttps://doi.org/10.1093/mnras/stx1366__3.5. Monthly Notices of the Royal Astronomical Society. Oxford University Press.https://doi.org/10.1093/mnras/stx1366 

Bugnet, L. A., Garcia, R. A., Davies, G. R., Mathur, S., &; Corsaro, E. (n.d.). FliPer: Checking the reliability of global seismic parameters from automatic pipelines. arXiv.https://doi.org/10.48550/arXiv.1711.02890 

Wang, D., Fountoulakis, K., Henzinger, M. H., Mahoney, M. W., &; Rao ,  Satish. (2017). Capacity releasing diffusion for speed and locality. In Proceedings of the 34th International Conference on Machine Learning (Vol. 70, pp. 3598–3607). Sydney, Australia: ML Research Press.

Henzinger, M. H., Krinninger, S., &; Nanongkai, D. (2017). Sublinear-time maintenance of breadth-first spanning trees in partially dynamic networks. ACM Transactions on Algorithms. Association for Computing Machinery.https://doi.org/10.1145/3146550 

Dvoák, W., Henzinger, M. H., &; Williamson, D. P. (2017). Maximizing a submodular function with viability constraints. Algorithmica. Springer Nature.https://doi.org/10.1007/s00453-015-0066-y 

Alwen, J. F., De Rezende, S., Nordstrom, J., &; Vinyals, M. (2017). Cumulative space in black-white pebbling and resolution. In C. Papadimitriou (Ed.) (Vol. 67, p. 38:1-38-21). Presented at the ITCS: Innovations in Theoretical Computer Science, Berkeley, CA, United States: Schloss Dagstuhl - Leibniz-Zentrum für Informatik.https://doi.org/10.4230/LIPIcs.ITCS.2017.38 

Henzinger, M. H., Lincoln, A., Neumann, S., &; Vassilevska Williams, V. (2017). Conditional hardness for sensitivity problems. In 8th Innovations in Theoretical Computer Science Conference (Vol. 67). Berkley, CA, United States: Schloss Dagstuhl - Leibniz-Zentrum für Informatik.https://doi.org/10.4230/LIPICS.ITCS.2017.26 

Goranci, G., Henzinger, M. H., &; Peng, P. (2017). The power of vertex sparsifiers in dynamic graph algorithms. In 25th Annual European Symposium on Algorithms (Vol. 87). Vienna, Austria: Schloss Dagstuhl - Leibniz-Zentrum für Informatik.https://doi.org/10.4230/LIPICS.ESA.2017.45 

Henzinger, M. H., Leniowski, D., &; Mathieu, C. (2017). Dynamic clustering to minimize the sum of radii. In 25th Annual European Symposium on Algorithms (Vol. 87). Vienna, Austria: Schloss Dagstuhl - Leibniz-Zentrum für Informatik.https://doi.org/10.4230/LIPICS.ESA.2017.48 

Bhattacharya, S., Henzinger, M. H., &; Nanongkai, D. (2017). Fully dynamic approximate maximum matching and minimum vertex cover in o(lo n) worst case update time. In 28th Annual ACM-SIAM Symposium on Discrete Algorithms (Vol. 0, pp. 470–489). Barcelona, Spain: Society for Industrial and Applied Mathematics.https://doi.org/10.1137/1.9781611974782.30 

Henzinger, M. H., Rao, S., &; Wang, D. (2017). Local flow partitioning for faster edge connectivity. In 28th Annual ACM-SIAM Symposium on Discrete Algorithms (pp. 1919–1938). Barcelona, Spain: Society for Industrial and Applied Mathematics.https://doi.org/10.1137/1.9781611974782.125 

Goranci, G., Henzinger, M. H., &; Peng, P. (2017). Improved guarantees for vertex sparsification in planar graphs. In 25th Annual European Symposium on Algorithms (Vol. 87). Vienna, Austria: Schloss Dagstuhl - Leibniz-Zentrum für Informatik.https://doi.org/10.4230/LIPICS.ESA.2017.44 

Bhattacharya, S., Dvoák, W., Henzinger, M. H., &; Starnberger, M. (2017). Welfare maximization with friends-of-friends network externalities. Theory of Computing Systems. Springer Nature.https://doi.org/10.1007/s00224-017-9759-8 

Kollár, R., &; Novak, S. (2017). Existence of traveling waves for the generalized F–KPP equation. Bulletin of Mathematical Biology. Springer.https://doi.org/10.1007/s11538-016-0244-3 

Pieber, B., Gilmore, K., &; Seeberger, P. H. (2017). Integrated flow processing - challenges in continuous multistep synthesis. Journal of Flow Chemistry. AKJournals.https://doi.org/10.1556/1846.2017.00016 

Budanur, N. B., &; Cvitanovi, P. (2017). Unstable manifolds of relative periodic orbits in the symmetry reduced state space of the Kuramoto–Sivashinsky system. Journal of Statistical Physics. Springer.https://doi.org/10.1007/s10955-016-1672-z 

Waitukaitis, S. R., Zuiderwijk, A., Souslov, A., Coulais, C., &; Van Hecke, M. (2017). Coupling the Leidenfrost effect and elastic deformations to power sustained bouncing. Nature Physics. Nature Publishing Group.https://doi.org/10.1038/nphys4194