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Shah N, Kolmogorov V, Lampert C. A multi-plane block-coordinate Frank-Wolfe algorithm for training structural SVMs with a costly max-oracle. In: IEEE; 2015:2737-2745. doi:10.1109/CVPR.2015.7298890
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Royer A, Lampert C. Classifier adaptation at prediction time. In: IEEE; 2015:1401-1409. doi:10.1109/CVPR.2015.7298746
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Lampert C. Predicting the future behavior of a time-varying probability distribution. In: IEEE; 2015:942-950. doi:10.1109/CVPR.2015.7298696
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arXiv: 1406.5362

Pentina A, Sharmanska V, Lampert C. Curriculum learning of multiple tasks. In: IEEE; 2015:5492-5500. doi:10.1109/CVPR.2015.7299188
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Hühner J, Inglés Prieto Á, Neusüß C, Lämmerhofer M, Janovjak HL. Quantification of riboflavin, flavin mononucleotide, and flavin adenine dinucleotide in mammalian model cells by CE with LED-induced fluorescence detection. Electrophoresis. 2015;36(4):518-525. doi:10.1002/elps.201400451
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Robert H, Grunewald W, Sauer M, et al. Plant embryogenesis requires AUX/LAX-mediated auxin influx. Development. 2015;142(4):702-711. doi:10.1242/dev.115832
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Park Y, Do Y, Altmeyer S, Lai Y, Lee G. Early effect in time-dependent, high-dimensional nonlinear dynamical systems with multiple resonances. Physical Review E. 2015;91(2). doi:10.1103/PhysRevE.91.022906
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Erdös L, Knowles A. The Altshuler–Shklovskii formulas for random band matrices II: The general case. Annales Henri Poincare. 2015;16(3):709-799. doi:10.1007/s00023-014-0333-5
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Ruess J, Lygeros J. Moment-based methods for parameter inference and experiment design for stochastic biochemical reaction networks. ACM Transactions on Modeling and Computer Simulation. 2015;25(2). doi:10.1145/2688906
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Henzinger TA, Raskin J. The equivalence problem for finite automata: Technical perspective. Communications of the ACM. 2015;58(2):86-86. doi:10.1145/2701001
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Grones P, Friml J. Auxin transporters and binding proteins at a glance. Journal of Cell Science. 2015;128(1):1-7. doi:10.1242/jcs.159418
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Boccara CN, Kjønigsen L, Hammer I, Bjaalie J, Leergaard T, Witter M. A three-plane architectonic atlas of the rat hippocampal region. Hippocampus. 2015;25(7):838-857. doi:10.1002/hipo.22407
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Chatterjee K, Chmelik M. POMDPs under probabilistic semantics. Artificial Intelligence. 2015;221:46-72. doi:10.1016/j.artint.2014.12.009
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arXiv: 1408.2058

Kremer A, Lippens S, Bartunkova S, et al. Developing 3D SEM in a broad biological context. Journal of Microscopy. 2015;259(2):80-96. doi:10.1111/jmi.12211
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Könenberg M, Moser T, Seiringer R, Yngvason J. Superfluid behavior of a Bose-Einstein condensate in a random potential. New Journal of Physics. 2015;17. doi:10.1088/1367-2630/17/1/013022
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Fahrenberg U, Kretinsky J, Legay A, Traonouez L. Compositionality for quantitative specifications. In: Vol 8997. Springer; 2015:306-324. doi:10.1007/978-3-319-15317-9_19
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Keller-Schmidt S, Tugrul M, Eguíluz V, Hernandez Garcia E, Klemm K. Anomalous scaling in an age-dependent branching model. Physical Review E Statistical Nonlinear and Soft Matter Physics. 2015;91(2). doi:10.1103/PhysRevE.91.022803
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arXiv: 1012.3298

Cires Rodriguez E, Prieto J. Phylogenetic relationships of Petrocoptis A. Braun ex Endl. (Caryophyllaceae), a discussed genus from the Iberian Peninsula. Journal of Plant Research. 2015;128(2):223-238. doi:10.1007/s10265-014-0691-6
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Tkadik G, Dubuis J, Petkova M, Gregor T. Positional information, positional error, and readout precision in morphogenesis: A mathematical framework. Genetics. 2015;199(1):39-59. doi:10.1534/genetics.114.171850
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