Carlen, E., &; Maas, J. (2014). An analog of the 2-Wasserstein metric in non-commutative probability under which the fermionic Fokker-Planck equation is gradient flow for the entropy. Communications in Mathematical Physics. Springer.https://doi.org/10.1007/s00220-014-2124-8 
LibreCat: https://research-explorer.ista.ac.at/record/2133
DOI: 10.1007/s00220-014-2124-8

Hairer, M., Maas, J., &; Weber, H. (2014). Approximating Rough Stochastic PDEs. Communications on Pure and Applied Mathematics. Wiley-Blackwell.https://doi.org/10.1002/cpa.21495 
LibreCat: https://research-explorer.ista.ac.at/record/2131
DOI: 10.1002/cpa.21495

Erbar, M., &; Maas, J. (2014). Gradient flow structures for discrete porous medium equations. Discrete and Continuous Dynamical Systems- Series A. Southwest Missouri State University.https://doi.org/10.3934/dcds.2014.34.1355Â   
LibreCat: https://research-explorer.ista.ac.at/record/2132
DOI: 10.3934/dcds.2014.34.1355  

Otterbach, J., &; Lemeshko, M. (2014). Dissipative preparation of spatial order in Rydberg-dressed Bose-Einstein condensates. Physical Review Letters. American Physical Society.https://doi.org/10.1103/PhysRevLett.113.070401 
LibreCat: https://research-explorer.ista.ac.at/record/2140
DOI: 10.1103/PhysRevLett.113.070401

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 
LibreCat: https://research-explorer.ista.ac.at/record/2153
DOI: 10.1145/2582112.2582168

Matousek, J., &; Wagner, U. (2014). On Gromov’s method of selecting heavily covered points. Discrete &; Computational Geometry. Springer.https://doi.org/10.1007/s00454-014-9584-7 
LibreCat: https://research-explorer.ista.ac.at/record/2154
DOI: 10.1007/s00454-014-9584-7

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 
LibreCat: https://research-explorer.ista.ac.at/record/2156
DOI: 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 
LibreCat: https://research-explorer.ista.ac.at/record/2155
DOI: 10.1145/2582112.2582167

Majumdar, R., Sixt, M. K., &; Parent, C. (2014). New paradigms in the establishment and maintenance of gradients during directed cell migration. Current Opinion in Cell Biology. Elsevier.https://doi.org/10.1016/j.ceb.2014.05.010 
LibreCat: https://research-explorer.ista.ac.at/record/2158
DOI: 10.1016/j.ceb.2014.05.010
PMID: 24959970

Morvant, E. (2014). Domain Adaptation of Weighted Majority Votes via Perturbed Variation-Based Self-Labeling. Pattern Recognition Letters. Elsevier.https://doi.org/10.1016/j.patrec.2014.08.013 
LibreCat: https://research-explorer.ista.ac.at/record/2165
DOI: 10.1016/j.patrec.2014.08.013

Chai, X., Münzner, G., Zhao, S., Tinnes, S., Kowalski, J., Häussler, U.,https://doi.org/10.1093/cercor/bht067__Frotscher, M. (2014). Epilepsy-induced motility of differentiated neurons. Cerebral Cortex. Oxford University Press.https://doi.org/10.1093/cercor/bht067 
LibreCat: https://research-explorer.ista.ac.at/record/2164
DOI: 10.1093/cercor/bht067

Kelleher, J., Etheridge, A., &; Barton, N. H. (2014). Coalescent simulation in continuous space: Algorithms for large neighbourhood size. Theoretical Population Biology. Academic Press.https://doi.org/10.1016/j.tpb.2014.05.001 
LibreCat: https://research-explorer.ista.ac.at/record/2168
DOI: 10.1016/j.tpb.2014.05.001

Barton, N. H., Novak, S., &; Paixao, T. (2014). Diverse forms of selection in evolution and computer science. PNAS. National Academy of Sciences.https://doi.org/10.1073/pnas.1410107111 
LibreCat: https://research-explorer.ista.ac.at/record/2169
DOI: 10.1073/pnas.1410107111

Kolesnikov, A., Guillaumin, M., Ferrari, V., &; Lampert, C. (2014). Closed-form approximate CRF training for scalable image segmentation. In D. Fleet, T. Pajdla, B. Schiele, &; T. Tuytelaars (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8691, pp. 550–565). Zurich, Switzerland: Springer.https://doi.org/10.1007/978-3-319-10578-9_36 
LibreCat: https://research-explorer.ista.ac.at/record/2171
DOI: 10.1007/978-3-319-10578-9_36

Khamis, S., &; Lampert, C. (2014). CoConut: Co-classification with output space regularization. In Proceedings of the British Machine Vision Conference 2014. Nottingham, UK: BMVA Press.
LibreCat: https://research-explorer.ista.ac.at/record/2173

Sydorov, V., Sakurada, M., &; Lampert, C. (2014). Deep Fisher Kernels – End to end learning of the Fisher Kernel GMM parameters. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (pp. 1402–1409). Columbus, USA: IEEE.https://doi.org/10.1109/CVPR.2014.182 
LibreCat: https://research-explorer.ista.ac.at/record/2172
DOI: 10.1109/CVPR.2014.182

De Vladar, H., &; Barton, N. H. (2014). Stability and response of polygenic traits to stabilizing selection and mutation. Genetics. Genetics Society of America.https://doi.org/10.1534/genetics.113.159111 
LibreCat: https://research-explorer.ista.ac.at/record/2174
DOI: 10.1534/genetics.113.159111

Ajanki, O. H., Erdös, L., &; Krüger, T. H. (2014). Local semicircle law with imprimitive variance matrix. Electronic Communications in Probability. Institute of Mathematical Statistics.https://doi.org/10.1214/ECP.v19-3121 
LibreCat: https://research-explorer.ista.ac.at/record/2179
DOI: 10.1214/ECP.v19-3121

Studer, D., Zhao, S., Chai, X., Jonas, P. M., Graber, W., Nestel, S., &; Frotscher, M. (2014). Capture of activity-induced ultrastructural changes at synapses by high-pressure freezing of brain tissue. Nature Protocols. Nature Publishing Group.https://doi.org/10.1038/nprot.2014.099 
LibreCat: https://research-explorer.ista.ac.at/record/2176
DOI: 10.1038/nprot.2014.099

Haws, D., Martin del Campo Sanchez, A., Takemura, A., &; Yoshida, R. (2014). Markov degree of the three-state toric homogeneous Markov chain model. Beitrage Zur Algebra Und Geometrie. Springer.https://doi.org/10.1007/s13366-013-0178-y 
LibreCat: https://research-explorer.ista.ac.at/record/2178
DOI: 10.1007/s13366-013-0178-y