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76 Publications

2019 | Journal Article | IST-REx-ID: 6952   OA
Henderson, Paul M., and Vittorio Ferrari. “Learning Single-Image 3D Reconstruction by Generative Modelling of Shape, Pose and Shading.” International Journal of Computer Vision, Springer Nature, 2019, doi:10.1007/s11263-019-01219-8.
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2019 | Conference Paper | IST-REx-ID: 6942   OA
Ashok, Pranav, et al. “Strategy Representation by Decision Trees with Linear Classifiers.” 16th International Conference on Quantitative Evaluation of Systems, vol. 11785, Springer Nature, 2019, pp. 109–28, doi:10.1007/978-3-030-30281-8_7.
View | DOI | Download (ext.) | arXiv
 
2019 | Conference Paper | IST-REx-ID: 6569   OA
Bui Thi Mai, Phuong, and Christoph Lampert. “Towards Understanding Knowledge Distillation.” Proceedings of the 36th International Conference on Machine Learning, vol. 97, PMLR, 2019, pp. 5142–51.
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2019 | Conference Paper | IST-REx-ID: 6590   OA
Konstantinov, Nikola H., and Christoph Lampert. “Robust Learning from Untrusted Sources.” Proceedings of the 36th International Conference on Machine Learning.
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2019 | Journal Article | IST-REx-ID: 6944   OA
Sun, Rémy, and Christoph Lampert. “KS(Conf): A Light-Weight Test If a Multiclass Classifier Operates Outside of Its Specifications.” International Journal of Computer Vision, Springer Nature, 2019, doi:10.1007/s11263-019-01232-x.
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2019 | Conference Paper | IST-REx-ID: 6482
Sun, Rémy, and Christoph Lampert. KS(Conf): A Light-Weight Test If a ConvNet Operates Outside of Its Specifications. Vol. 11269, Springer Nature, 2019, pp. 244–59, doi:10.1007/978-3-030-12939-2_18.
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2018 | Journal Article | IST-REx-ID: 321
Darrell, Trevor, et al. “Guest Editors’ Introduction to the Special Section on Learning with Shared Information for Computer Vision and Multimedia Analysis.” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 40, no. 5, IEEE, 2018, pp. 1029–31, doi:10.1109/TPAMI.2018.2804998.
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2018 | Conference Paper | IST-REx-ID: 6589   OA
Alistarh, Dan-Adrian, et al. “The Convergence of Sparsified Gradient Methods.” Advances in Neural Information Processing Systems 31, vol. Volume 2018, Neural information processing systems, 2018, pp. 5973–83.
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2018 | Conference Paper | IST-REx-ID: 6011   OA
Kuzborskij, Ilja, and Christoph Lampert. “Data-Dependent Stability of Stochastic Gradient Descent.” Proceedings of the 35 Th International Conference on Machine Learning, vol. 80, International Machine Learning Society, 2018, pp. 2815–24.
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2018 | Journal Article | IST-REx-ID: 6554   OA
Xian, Yongqin, et al. “Zero-Shot Learning - A Comprehensive Evaluation of the Good, the Bad and the Ugly.” IEEE Transactions on Pattern Analysis and Machine Intelligence, Institute of Electrical and Electronics Engineers (IEEE), 2018, pp. 1–1, doi:10.1109/tpami.2018.2857768.
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2018 | Thesis | IST-REx-ID: 68   OA
Zimin, Alexander. Learning from Dependent Data. IST Austria, 2018, doi:10.15479/AT:ISTA:TH1048.
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2018 | Conference Paper | IST-REx-ID: 6012   OA
Sahoo, Subham, et al. “Learning Equations for Extrapolation and Control.” Proceedings of the 35th International Conference on Machine Learning, vol. 80, International Machine Learning Society, 2018, pp. 4442–50.
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2018 | Journal Article | IST-REx-ID: 563   OA
Ringbauer, Harald, et al. “Estimating Barriers to Gene Flow from Distorted Isolation-by-Distance Patterns.” Genetics, vol. 208, no. 3, Genetics Society of America, 2018, pp. 1231–45, doi:10.1534/genetics.117.300638 .
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2018 | Research Data | IST-REx-ID: 5584
Deny, Stephane, et al. Nonlinear Decoding of a Complex Movie from the Mammalian Retina. IST Austria, 2018, doi:10.15479/AT:ISTA:98.
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2018 | Thesis | IST-REx-ID: 197   OA
Kolesnikov, Alexander. Weakly-Supervised Segmentation and Unsupervised Modeling of Natural Images. IST Austria, 2018, doi:10.15479/AT:ISTA:th_1021.
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2017 | Conference Paper | IST-REx-ID: 911   OA
Royer, Amélie, et al. Probabilistic Image Colorization. BMVA Press.
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2017 | Conference Paper | IST-REx-ID: 1000   OA
Kolesnikov, Alexander, and Christoph Lampert. PixelCNN Models with Auxiliary Variables for Natural Image Modeling. Vol. 70, Omnipress, 2017, pp. 1905–14.
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2017 | Conference Paper | IST-REx-ID: 652
Der, Ralf, and Georg S. Martius. Dynamical Self Consistency Leads to Behavioral Development and Emergent Social Interactions in Robots. 7846789, IEEE, 2017, doi:10.1109/DEVLRN.2016.7846789.
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2017 | Conference Paper | IST-REx-ID: 998   OA
Rebuffi, Sylvestre Alvise, et al. ICaRL: Incremental Classifier and Representation Learning. Vol. 2017, IEEE, 2017, pp. 5533–42, doi:10.1109/CVPR.2017.587.
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2017 | Conference Paper | IST-REx-ID: 6841   OA
Martius, Georg S., and Christoph Lampert. “Extrapolation and Learning Equations.” 5th International Conference on Learning Representations, ICLR 2017 - Workshop Track Proceedings, International Conference on Learning Representations, 2017.
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2017 | Journal Article | IST-REx-ID: 658   OA
Der, Ralf, and Georg S. Martius. “Self Organized Behavior Generation for Musculoskeletal Robots.” Frontiers in Neurorobotics, vol. 11, no. MAR, 00008, Frontiers Research Foundation, 2017, doi:10.3389/fnbot.2017.00008.
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2017 | Conference Paper | IST-REx-ID: 999   OA
Pentina, Anastasia, and Christoph Lampert. Multi-Task Learning with Labeled and Unlabeled Tasks. Vol. 70, Omnipress, 2017, pp. 2807–16.
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2017 | Conference Paper | IST-REx-ID: 1108   OA
Zimin, Alexander, and Christoph Lampert. Learning Theory for Conditional Risk Minimization. Vol. 54, JMLR, Inc. and Microtome Publishing, 2017, pp. 213–22.
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2017 | Conference Paper | IST-REx-ID: 750
Pielorz, Jasmin, et al. “Optimal Geospatial Volunteer Allocation Needs Realistic Distances.” 2017 IEEE International Conference on Big Data, IEEE, 2017, pp. 3760–63, doi:10.1109/BigData.2017.8258375.
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2016 | Conference Paper | IST-REx-ID: 1369   OA
Kolesnikov, Alexander, and Christoph Lampert. Seed, Expand and Constrain: Three Principles for Weakly-Supervised Image Segmentation. Vol. 9908, Springer, 2016, pp. 695–711, doi:10.1007/978-3-319-46493-0_42.
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2016 | Conference Paper | IST-REx-ID: 1098   OA
Pentina, Anastasia, and Ruth Urner. Lifelong Learning with Weighted Majority Votes. Vol. 29, Neural Information Processing Systems, 2016, pp. 3619–27.
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2016 | Conference Paper | IST-REx-ID: 1214
Martius, Georg S., et al. Compliant Control for Soft Robots: Emergent Behavior of a Tendon Driven Anthropomorphic Arm. Vol. 2016–November, 7759138, IEEE, 2016, doi:10.1109/IROS.2016.7759138.
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2016 | Conference Paper | IST-REx-ID: 1707
Pielorz, Jasmin, and Christoph Lampert. Optimal Geospatial Allocation of Volunteers for Crisis Management. 7402041, IEEE, 2016, doi:10.1109/ICT-DM.2015.7402041.
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2016 | Conference Paper | IST-REx-ID: 1102   OA
Kolesnikov, Alexander, and Christoph Lampert. “Improving Weakly-Supervised Object Localization by Micro-Annotation.” Proceedings of the British Machine Vision Conference 2016, vol. 2016–September, BMVA Press, 2016, p. 92.1-92.12, doi:10.5244/C.30.92.
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2016 | Thesis | IST-REx-ID: 1126   OA
Pentina, Anastasia. Theoretical Foundations of Multi-Task Lifelong Learning. IST Austria, 2016, doi:10.15479/AT:ISTA:TH_776.
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2015 | Journal Article | IST-REx-ID: 1655   OA
Martius, Georg S., and Eckehard Olbrich. “Quantifying Emergent Behavior of Autonomous Robots.” Entropy, vol. 17, no. 10, Multidisciplinary Digital Publishing Institute, 2015, pp. 7266–97, doi:10.3390/e17107266.
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2015 | Conference Paper | IST-REx-ID: 1706   OA
Pentina, Anastasia, and Shai Ben David. Multi-Task and Lifelong Learning of Kernels. Vol. 9355, Springer, 2015, pp. 194–208, doi:10.1007/978-3-319-24486-0_13.
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2015 | Conference Paper | IST-REx-ID: 1857   OA
Pentina, Anastasia, et al. Curriculum Learning of Multiple Tasks. IEEE, 2015, pp. 5492–500, doi:10.1109/CVPR.2015.7299188.
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2015 | Conference Paper | IST-REx-ID: 1858   OA
Lampert, Christoph. Predicting the Future Behavior of a Time-Varying Probability Distribution. IEEE, 2015, pp. 942–50, doi:10.1109/CVPR.2015.7298696.
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2015 | Conference Paper | IST-REx-ID: 1860   OA
Royer, Amélie, and Christoph Lampert. Classifier Adaptation at Prediction Time. IEEE, 2015, pp. 1401–09, doi:10.1109/CVPR.2015.7298746.
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2015 | Journal Article | IST-REx-ID: 1570   OA
Der, Ralf, and Georg S. Martius. “Novel Plasticity Rule Can Explain the Development of Sensorimotor Intelligence.” PNAS, vol. 112, no. 45, National Academy of Sciences, 2015, pp. E6224–32, doi:10.1073/pnas.1508400112.
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2015 | Conference Paper | IST-REx-ID: 1859   OA
Shah, Neel, et al. A Multi-Plane Block-Coordinate Frank-Wolfe Algorithm for Training Structural SVMs with a Costly Max-Oracle. IEEE, 2015, pp. 2737–45, doi:10.1109/CVPR.2015.7298890.
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2015 | Conference Paper | IST-REx-ID: 1425   OA
Pentina, Anastasia, and Christoph Lampert. Lifelong Learning with Non-i.i.d. Tasks. Vol. 2015, Neural Information Processing Systems, 2015, pp. 1540–48.
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2015 | Thesis | IST-REx-ID: 1401
Sharmanska, Viktoriia. Learning with Attributes for Object Recognition: Parametric and Non-Parametrics Views. IST Austria, 2015.
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2015 | Journal Article | IST-REx-ID: 1533
Xia, Wei, et al. “Segmentation over Detection via Optimal Sparse Reconstructions.” IEEE Transactions on Circuits and Systems for Video Technology, vol. 25, no. 8, IEEE, 2015, pp. 1295–308, doi:10.1109/TCSVT.2014.2379972.
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2014 | Conference Paper | IST-REx-ID: 2171   OA
Kolesnikov, Alexander, et al. “Closed-Form Approximate CRF Training for Scalable Image Segmentation.” Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), edited by David Fleet et al., vol. 8691, no. PART 3, Springer, 2014, pp. 550–65, doi:10.1007/978-3-319-10578-9_36.
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2014 | Conference Paper | IST-REx-ID: 2033   OA
Hernandez Lobato, Daniel, et al. “Mind the Nuisance: Gaussian Process Classification Using Privileged Noise.” Advances in Neural Information Processing Systems, vol. 1, no. January, Neural Information Processing Systems, 2014, pp. 837–45.
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2014 | Conference Paper | IST-REx-ID: 2057   OA
Morvant, Emilie, et al. “Majority Vote of Diverse Classifiers for Late Fusion.” Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8621, Springer, 2014, pp. 153–62, doi:10.1007/978-3-662-44415-3_16.
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2014 | Conference Paper | IST-REx-ID: 2172
Sydorov, Vladyslav, et al. “Deep Fisher Kernels – End to End Learning of the Fisher Kernel GMM Parameters.” Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, IEEE, 2014, pp. 1402–09, doi:10.1109/CVPR.2014.182.
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2014 | Conference Paper | IST-REx-ID: 2189   OA
Morvant, Emilie. Adaptation de Domaine de Vote de Majorité Par Auto-Étiquetage Non Itératif. Vol. 1, Elsevier, 2014, pp. 49–58.
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2014 | Conference Paper | IST-REx-ID: 2160   OA
Pentina, Anastasia, and Christoph Lampert. A PAC-Bayesian Bound for Lifelong Learning. Edited by Eric Xing and Tony Jebara, vol. 32, Omnipress, 2014, pp. 991–99.
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2014 | Conference Paper | IST-REx-ID: 2173   OA
Khamis, Sameh, and Christoph Lampert. “CoConut: Co-Classification with Output Space Regularization.” Proceedings of the British Machine Vision Conference 2014, BMVA Press, 2014.
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2014 | Journal Article | IST-REx-ID: 2180   OA
Bellet, Aurélien, et al. “Learning a Priori Constrained Weighted Majority Votes.” Machine Learning, vol. 97, no. 1–2, Springer, 2014, pp. 129–54, doi:10.1007/s10994-014-5462-z.
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2014 | Book Chapter | IST-REx-ID: 1829
Muelling, Katharina, et al. “Movement Templates for Learning of Hitting and Batting.” Learning Motor Skills, edited by Jens Kober and Jan Peters, vol. 97, Springer, 2014, pp. 69–82, doi:10.1007/978-3-319-03194-1_3.
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2013 | Conference Paper | IST-REx-ID: 2520   OA
Quadrianto, Novi, et al. “The Supervised IBP: Neighbourhood Preserving Infinite Latent Feature Models.” Proceedings of the 29th Conference Uncertainty in Artificial Intelligence, AUAI Press, 2013, pp. 527–36.
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