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Edelsbrunner, H., &; Pausinger, F. (2016). Approximation and convergence of the intrinsic volume. Advances in Mathematics. Academic Press.https://doi.org/10.1016/j.aim.2015.10.004 

Kwitt, R., Huber, S., Niethammer, M., Lin, W., &; Bauer, U. (2015). Statistical topological data analysis-A kernel perspective (Vol. 28, pp. 3070–3078). Presented at the NIPS: Neural Information Processing Systems, Montreal, Canada: Neural Information Processing Systems.

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Edelsbrunner, H., Iglesias Ham, M., &; Kurlin, V. (2015). Relaxed disk packing. In Proceedings of the 27th Canadian Conference on Computational Geometry (Vol. 2015–August, pp. 128–135). Ontario, Canada: Queen’s University.

Franek, P., &; Krcál, M. (2015). On computability and triviality of well groups (Vol. 34, pp. 842–856). Presented at the SoCG: Symposium on Computational Geometry, Eindhoven, Netherlands: Schloss Dagstuhl - Leibniz-Zentrum für Informatik.https://doi.org/10.4230/LIPIcs.SOCG.2015.842 

Zobel, V., Reininghaus, J., &; Hotz, I. (2015). Visualizing symmetric indefinite 2D tensor fields using The Heat Kernel Signature. In I. Hotz &; T. Schultz (Eds.), Visualization and Processing of Higher Order Descriptors for Multi-Valued Data (1st ed., Vol. 40, pp. 257–267). Springer.https://doi.org/10.1007/978-3-319-15090-1_13 

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Dunaeva, O., Edelsbrunner, H., Lukyanov, A., Machin, M., &; Malkova, D. (2015). The classification of endoscopy images with persistent homology. In Proceedings - 16th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (p. 7034731). Timisoara, Romania: IEEE.https://doi.org/10.1109/SYNASC.2014.81 

Edelsbrunner, H. (2015). Shape, homology, persistence, and stability. In 23rd International Symposium (Vol. 9411). Los Angeles, CA, United States: Springer Nature.

Graff, G., &; Pilarczyk, P. (2015). An algorithmic approach to estimating the minimal number of periodic points for smooth self-maps of simply-connected manifolds. Topological Methods in Nonlinear Analysis. Juliusz Schauder Center for Nonlinear Studies.https://doi.org/10.12775/TMNA.2015.014 

Cao, T., Edelsbrunner, H., &; Tan, T. (2015). Triangulations from topologically correct digital Voronoi diagrams. Computational Geometry. Elsevier.https://doi.org/10.1016/j.comgeo.2015.04.001 

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Aichholzer, O., Biedl, T., Hackl, T., Held, M., Huber, S., Palfrader, P., &; Vogtenhuber, B. (2015). Representing directed trees as straight skeletons. In Graph Drawing and Network Visualization (Vol. 9411, pp. 335–347). Los Angeles, CA, United States: Springer Nature.https://doi.org/10.1007/978-3-319-27261-0_28 

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Akopyan, A., &; Plakhov, A. (2015). Minimal resistance of curves under the single impact assumption. Society for Industrial and Applied Mathematics. SIAM.https://doi.org/10.1137/140993843 

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 

Pausinger, F., &; Steinerberger, S. (2015). On the distribution of local extrema in quantum chaos. Physics Letters, Section A. Elsevier.https://doi.org/10.1016/j.physleta.2014.12.010 

Edelsbrunner, H., Jablonski, G., &; Mrozek, M. (2015). The persistent homology of a self-map. Foundations of Computational Mathematics. Springer.https://doi.org/10.1007/s10208-014-9223-y 

Attali, D., Bauer, U., Devillers, O., Glisse, M., &; Lieutier, A. (2015). Homological reconstruction and simplification in . Computational Geometry: Theory and Applications. Elsevier.https://doi.org/10.1016/j.comgeo.2014.08.010 

Symonova, O., Topp, C., &; Edelsbrunner, H. (2015). DynamicRoots: A software platform for the reconstruction and analysis of growing plant roots. PLoS One. Public Library of Science.https://doi.org/10.1371/journal.pone.0127657 

Symonova, O., Topp, C., &; Edelsbrunner, H. (2015). Root traits computed by DynamicRoots for the maize root shown in fig 2. Public Library of Science.https://doi.org/10.1371/journal.pone.0127657.s001 

Pausinger, F., &; Svane, A. (2015). A Koksma-Hlawka inequality for general discrepancy systems. Journal of Complexity. Academic Press.https://doi.org/10.1016/j.jco.2015.06.002 

Pausinger, F. (2015). On the approximation of intrinsic volumes. Institute of Science and Technology Austria.

Kasten, J., Reininghaus, J., Reich, W., &; Scheuermann, G. (2014). Toward the extraction of saddle periodic orbits. In P.-T. Bremer, I. Hotz, V. Pascucci, &; R. Peikert (Eds.), Topological Methods in Data Analysis and Visualization III  (Vol. 1, pp. 55–69). Cham: Springer.https://doi.org/10.1007/978-3-319-04099-8_4 

Huber, S., Held, M., Meerwald, P., &; Kwitt, R. (2014). Topology-preserving watermarking of vector graphics. International Journal of Computational Geometry and Applications. World Scientific Publishing.https://doi.org/10.1142/S0218195914500034 

Cibulka, J., Gao, P., Krcál, M., Valla, T., &; Valtr, P. (2014). On the geometric ramsey number of outerplanar graphs. Discrete &; Computational Geometry. Springer.https://doi.org/10.1007/s00454-014-9646-x 

Dolbilin, N., Edelsbrunner, H., Glazyrin, A., &; Musin, O. (2014). Functionals on triangulations of delaunay sets. Moscow Mathematical Journal. Independent University of Moscow.https://doi.org/10.17323/1609-4514-2014-14-3-491-504 

Alexeev, V. V., Bogaevskaya, V. G., Preobrazhenskaya, M. M., Ukhalov, A. Y., Edelsbrunner, H., &; Yakimova, O. (2014). An algorithm for cartographic generalization that preserves global topology. Journal of Mathematical Sciences. Springer.https://doi.org/10.1007/s10958-014-2165-8 

Günther, D., Jacobson, A., Reininghaus, J., Seidel, H., Sorkine Hornung, O., &; Weinkauf, T. (2014). Fast and memory-efficient topological denoising of 2D and 3D scalar fields. IEEE Transactions on Visualization and Computer Graphics. IEEE.https://doi.org/10.1109/TVCG.2014.2346432 

Bauer, U., Kerber, M., &; Reininghaus, J. (2014). Distributed computation of persistent homology. In C.https://doi.org/10.1137/1.9781611973198.4__McGeoch &; U. Meyer (Eds.), Proceedings of the Workshop on Algorithm Engineering and Experiments (pp. 31–38). Portland, USA: Society of Industrial and Applied Mathematics.https://doi.org/10.1137/1.9781611973198.4 

Bauer, U., Kerber, M., &; Reininghaus, J. (2014). Clear and Compress: Computing Persistent Homology in Chunks. In P.-T. Bremer, I. Hotz, V. Pascucci, &; R. Peikert (Eds.), Topological Methods in Data Analysis and Visualization III (pp. 103–117). Springer.https://doi.org/10.1007/978-3-319-04099-8_7 

Bauer, U., &; Lesnick, M. (2014). Induced matchings of barcodes and the algebraic stability of persistence. In Proceedings of the Annual Symposium on Computational Geometry (pp. 355–364). Kyoto, Japan: ACM.https://doi.org/10.1145/2582112.2582168 

Bauer, U., Ge, X., &; Wang, Y. (2014). Measuring distance between Reeb graphs. In Proceedings of the Annual Symposium on Computational Geometry (pp. 464–473). Kyoto, Japan: ACM.https://doi.org/10.1145/2582112.2582169 

Bauer, U., &; Edelsbrunner, H. (2014). The morse theory of cech and Delaunay filtrations. In Proceedings of the Annual Symposium on Computational Geometry (pp. 484–490). Kyoto, Japan: ACM.https://doi.org/10.1145/2582112.2582167 

Edelsbrunner, H., &; Parsa, S. (2014). On the computational complexity of betti numbers reductions from matrix rank. In Proceedings of the Annual ACM-SIAM Symposium on Discrete Algorithms (pp. 152–160). Portland, USA: SIAM.https://doi.org/10.1137/1.9781611973402.11 

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Edelsbrunner, H., &; Morozovy, D. (2014). Persistent homology: Theory and practice (pp. 31–50). Presented at the ECM: European Congress of Mathematics, Kraków, Poland: European Mathematical Society Publishing House.https://doi.org/10.4171/120-1/3 

Biedl, T., Huber, S., &; Palfrader, P. (2014). Planar matchings for weighted straight skeletons. In 25th International Symposium, ISAAC 2014 (Vol. 8889, pp. 117–127). Jeonju, Korea: Springer Nature.https://doi.org/10.1007/978-3-319-13075-0_10 

Edelsbrunner, H. (2014). A Short Course in Computational Geometry and Topology (1st ed.). Cham: Springer Nature.https://doi.org/10.1007/978-3-319-05957-0 

Zobel, V., Reininghaus, J., &; Hotz, I. (2014). Visualization of two-dimensional symmetric positive definite tensor fields using the heat kernel signature. In Topological Methods in Data Analysis and Visualization III  (pp. 249–262). Springer.https://doi.org/10.1007/978-3-319-04099-8_16 

Günther, D., Reininghaus, J., Seidel, H.-P., &; Weinkauf, T. (2014). Notes on the simplification of the Morse-Smale complex. In P.-T. Bremer, I. Hotz, V. Pascucci, &; R. Peikert (Eds.), Topological Methods in Data Analysis and Visualization III. (pp. 135–150). Cham: Springer Nature.https://doi.org/10.1007/978-3-319-04099-8_9 

Edelsbrunner, H., &; Pausinger, F. (2014). Stable length estimates of tube-like shapes. Journal of Mathematical Imaging and Vision. Springer.https://doi.org/10.1007/s10851-013-0468-x 

Bauer, U., Kerber, M., Reininghaus, J., &; Wagner, H. (2014). PHAT – Persistent Homology Algorithms Toolbox. In ICMS 2014: International Congress on Mathematical Software (Vol. 8592, pp. 137–143). Berlin, Heidelberg: Springer Berlin Heidelberg.https://doi.org/10.1007/978-3-662-44199-2_24 

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