Pielorz, Jasmin, and Christoph Lampert. “Optimal Geospatial Allocation of Volunteers for Crisis Management.”https://doi.org/10.1109/ICT-DM.2015.7402041__IEEE, 2016.https://doi.org/10.1109/ICT-DM.2015.7402041 .
LibreCat: https://research-explorer.ista.ac.at/record/1707
DOI: 10.1109/ICT-DM.2015.7402041

Martius, Georg S, Rafael Hostettler, Alois Knoll, and Ralf Der. “Self-Organized Control of an Tendon Driven Arm by Differential Extrinsic Plasticity.”https://doi.org/10.7551/978-0-262-33936-0-ch029__In Proceedings of the Artificial Life Conference 2016, 28:142–43. MIT Press, 2016.https://doi.org/10.7551/978-0-262-33936-0-ch029 .
LibreCat: https://research-explorer.ista.ac.at/record/8094
DOI: 10.7551/978-0-262-33936-0-ch029

Pentina, Anastasia. “Theoretical Foundations of Multi-Task Lifelong Learning.”https://doi.org/10.15479/AT:ISTA:TH_776__Institute of Science and Technology Austria, 2016.https://doi.org/10.15479/AT:ISTA:TH_776 .
LibreCat: https://research-explorer.ista.ac.at/record/1126
DOI: 10.15479/AT:ISTA:TH_776

Pentina, Anastasia, and Christoph Lampert. “Lifelong Learning with Non-i.i.d. Tasks,” 2015:1540–48. Neural Information Processing Systems, 2015.
LibreCat: https://research-explorer.ista.ac.at/record/1425

Xia, Wei, Csaba Domokos, Junjun Xiong, Loongfah Cheong, and Shuicheng Yan. “Segmentation over Detection via Optimal Sparse Reconstructions.”https://doi.org/10.1109/TCSVT.2014.2379972__IEEE Transactions on Circuits and Systems for Video Technology. IEEE, 2015.https://doi.org/10.1109/TCSVT.2014.2379972 .
LibreCat: https://research-explorer.ista.ac.at/record/1533
DOI: 10.1109/TCSVT.2014.2379972

Der, Ralf, and Georg S Martius. “Novel Plasticity Rule Can Explain the Development of Sensorimotor Intelligence.”https://doi.org/10.1073/pnas.1508400112__PNAS. National Academy of Sciences, 2015.https://doi.org/10.1073/pnas.1508400112 .
LibreCat: https://research-explorer.ista.ac.at/record/1570
DOI: 10.1073/pnas.1508400112
PMID: 26504200

Pentina, Anastasia, and Shai Ben David. “Multi-Task and Lifelong Learning of Kernels,”https://doi.org/10.1007/978-3-319-24486-0_13__9355:194–208. Springer, 2015.https://doi.org/10.1007/978-3-319-24486-0_13 .
LibreCat: https://research-explorer.ista.ac.at/record/1706
DOI: 10.1007/978-3-319-24486-0_13

Shah, Neel, Vladimir Kolmogorov, and Christoph Lampert. “A Multi-Plane Block-Coordinate Frank-Wolfe Algorithm for Training Structural SVMs with a Costly Max-Oracle,”https://doi.org/10.1109/CVPR.2015.7298890__2737–45. IEEE, 2015.https://doi.org/10.1109/CVPR.2015.7298890 .
LibreCat: https://research-explorer.ista.ac.at/record/1859
DOI: 10.1109/CVPR.2015.7298890

Royer, Amélie, and Christoph Lampert. “Classifier Adaptation at Prediction Time,”https://doi.org/10.1109/CVPR.2015.7298746__1401–9. IEEE, 2015.https://doi.org/10.1109/CVPR.2015.7298746 .
LibreCat: https://research-explorer.ista.ac.at/record/1860
DOI: 10.1109/CVPR.2015.7298746

Lampert, Christoph. “Predicting the Future Behavior of a Time-Varying Probability Distribution,”https://doi.org/10.1109/CVPR.2015.7298696__942–50. IEEE, 2015.https://doi.org/10.1109/CVPR.2015.7298696 .
LibreCat: https://research-explorer.ista.ac.at/record/1858
DOI: 10.1109/CVPR.2015.7298696
arXiv: 1406.5362

Pentina, Anastasia, Viktoriia Sharmanska, and Christoph Lampert. “Curriculum Learning of Multiple Tasks,”https://doi.org/10.1109/CVPR.2015.7299188__5492–5500. IEEE, 2015.https://doi.org/10.1109/CVPR.2015.7299188 .
LibreCat: https://research-explorer.ista.ac.at/record/1857
DOI: 10.1109/CVPR.2015.7299188

Martius, Georg S, and Eckehard Olbrich. “Quantifying Self-Organizing Behavior of Autonomous Robots.”https://doi.org/10.7551/978-0-262-33027-5-ch018__In Proceedings of the 13th European Conference on Artificial Life, 78. MIT Press, 2015.https://doi.org/10.7551/978-0-262-33027-5-ch018 .
LibreCat: https://research-explorer.ista.ac.at/record/12881
DOI: 10.7551/978-0-262-33027-5-ch018

Sharmanska, Viktoriia. “Learning with Attributes for Object Recognition: Parametric and Non-Parametrics Views.”https://doi.org/10.15479/at:ista:1401__Institute of Science and Technology Austria, 2015.https://doi.org/10.15479/at:ista:1401 .
LibreCat: https://research-explorer.ista.ac.at/record/1401
DOI: 10.15479/at:ista:1401

Martius, Georg S, and Eckehard Olbrich. “Quantifying Emergent Behavior of Autonomous Robots.”https://doi.org/10.3390/e17107266__Entropy. MDPI, 2015.https://doi.org/10.3390/e17107266 .
LibreCat: https://research-explorer.ista.ac.at/record/1655
DOI: 10.3390/e17107266

Muelling, Katharina, Oliver Kroemer, Christoph Lampert, and Bernhard Schölkopf. “Movement Templates for Learning of Hitting and Batting.”https://doi.org/10.1007/978-3-319-03194-1_3__In Learning Motor Skills, edited by Jens Kober and Jan Peters, 97:69–82. From Algorithms to Robot Experiments. Springer, 2014.https://doi.org/10.1007/978-3-319-03194-1_3 .
LibreCat: https://research-explorer.ista.ac.at/record/1829
DOI: 10.1007/978-3-319-03194-1_3

Hernandez Lobato, Daniel, Viktoriia Sharmanska, Kristian Kersting, Christoph Lampert, and Novi Quadrianto. “Mind the Nuisance: Gaussian Process Classification Using Privileged Noise.” In Advances in Neural Information Processing Systems, 1:837–45. Neural Information Processing Systems, 2014.
LibreCat: https://research-explorer.ista.ac.at/record/2033

Morvant, Emilie, Amaury Habrard, and Stéphane Ayache. “Majority Vote of Diverse Classifiers for Late Fusion.”https://doi.org/10.1007/978-3-662-44415-3_16__In Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8621:153–62. Springer, 2014.https://doi.org/10.1007/978-3-662-44415-3_16 .
LibreCat: https://research-explorer.ista.ac.at/record/2057
DOI: 10.1007/978-3-662-44415-3_16
arXiv: 1404.7796

Kolesnikov, Alexander, Matthieu Guillaumin, Vittorio Ferrari, and Christoph Lampert. “Closed-Form Approximate CRF Training for Scalable Image Segmentation.”https://doi.org/10.1007/978-3-319-10578-9_36__In Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), edited by David Fleet, Tomas Pajdla, Bernt Schiele, and Tinne Tuytelaars, 8691:550–65. Springer, 2014.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, Sameh, and Christoph Lampert. “CoConut: Co-Classification with Output Space Regularization.” In Proceedings of the British Machine Vision Conference 2014. BMVA Press, 2014.
LibreCat: https://research-explorer.ista.ac.at/record/2173

Sydorov, Vladyslav, Mayu Sakurada, and Christoph Lampert. “Deep Fisher Kernels – End to End Learning of the Fisher Kernel GMM Parameters.”https://doi.org/10.1109/CVPR.2014.182__In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1402–9. IEEE, 2014.https://doi.org/10.1109/CVPR.2014.182 .
LibreCat: https://research-explorer.ista.ac.at/record/2172
DOI: 10.1109/CVPR.2014.182