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72 Publications

2019 | Conference Paper | IST-REx-ID: 6569   OA
Bui Thi Mai, Phuong, and Christoph Lampert. “Towards Understanding Knowledge Distillation.” In Proceedings of the 36th International Conference on Machine Learning, 97:5142–51. PMLR, 2019.
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2019 | Conference Paper | IST-REx-ID: 6590   OA
Konstantinov, Nikola H, and Christoph Lampert. “Robust Learning from Untrusted Sources.” In Proceedings of the 36th International Conference on Machine Learning, n.d.
View | Download (ext.) | arXiv
 
2019 | Conference Paper | IST-REx-ID: 6482   OA
Sun, Rémy, and Christoph Lampert. “KS(Conf): A Light-Weight Test If a ConvNet Operates Outside of Its Specifications,” 11269:244–59. Springer Nature, 2019. https://doi.org/10.1007/978-3-030-12939-2_18.
View | DOI | Download (ext.) | arXiv
 
2018 | Journal Article | IST-REx-ID: 321
Darrell, Trevor, Christoph Lampert, Nico Sebe, Ying Wu, and Yan Yan. “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 40, no. 5 (2018): 1029–31. https://doi.org/10.1109/TPAMI.2018.2804998.
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2018 | Conference Paper | IST-REx-ID: 6589   OA
Alistarh, Dan-Adrian, Torsten Hoefler, Mikael Johansson, Nikola H Konstantinov, Sarit Khirirat, and Cedric Renggli. “The Convergence of Sparsified Gradient Methods.” In Advances in Neural Information Processing Systems 31, Volume 2018:5973–83. Neural information processing systems, 2018.
View | Download (ext.) | arXiv
 
2018 | Conference Paper | IST-REx-ID: 6011   OA
Kuzborskij, Ilja, and Christoph Lampert. “Data-Dependent Stability of Stochastic Gradient Descent.” In Proceedings of the 35 Th International Conference on Machine Learning, 80:2815–24. International Machine Learning Society, 2018.
View | Download (ext.) | arXiv
 
2018 | Journal Article | IST-REx-ID: 6554   OA
Xian, Yongqin, Christoph Lampert, Bernt Schiele, and Zeynep Akata. “Zero-Shot Learning - A Comprehensive Evaluation of the Good, the Bad and the Ugly.” IEEE Transactions on Pattern Analysis and Machine Intelligence, 2018, 1–1. https://doi.org/10.1109/tpami.2018.2857768.
View | DOI | Download (ext.) | arXiv
 
2018 | Conference Paper | IST-REx-ID: 6012   OA
Sahoo, Subham, Christoph Lampert, and Georg Martius. “Learning Equations for Extrapolation and Control.” In Proceedings of the 35th International Conference on Machine Learning, 80:4442–50. International Machine Learning Society, 2018.
View | Files available | Download (ext.) | arXiv
 
2018 | Thesis | IST-REx-ID: 68   OA
Zimin, Alexander. Learning from Dependent Data. IST Austria, 2018. https://doi.org/10.15479/AT:ISTA:TH1048.
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2018 | Journal Article | IST-REx-ID: 563
Ringbauer, Harald, Alexander Kolesnikov, David Field, and Nicholas H Barton. “Estimating Barriers to Gene Flow from Distorted Isolation-by-Distance Patterns.” Genetics 208, no. 3 (2018): 1231–45. https://doi.org/10.1534/genetics.117.300638 .
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2018 | Research Data | IST-REx-ID: 5584   OA
Deny, Stephane, Olivier Marre, Vicente Botella-Soler, Georg S Martius, and Gasper Tkacik. Nonlinear Decoding of a Complex Movie from the Mammalian Retina. IST Austria, 2018. https://doi.org/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. https://doi.org/10.15479/AT:ISTA:th_1021.
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2017 | Conference Paper | IST-REx-ID: 911   OA
Royer, Amélie, Alexander Kolesnikov, and Christoph Lampert. “Probabilistic Image Colorization.” BMVA Press, n.d.
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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,” 70:1905–14. Omnipress, 2017.
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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.” IEEE, 2017. https://doi.org/10.1109/DEVLRN.2016.7846789.
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2017 | Conference Paper | IST-REx-ID: 998   OA
Rebuffi, Sylvestre Alvise, Alexander Kolesnikov, Georg Sperl, and Christoph Lampert. “ICaRL: Incremental Classifier and Representation Learning,” 2017:5533–42. IEEE, 2017. https://doi.org/10.1109/CVPR.2017.587.
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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 11, no. MAR (2017). https://doi.org/10.3389/fnbot.2017.00008.
View | Files available | DOI
 
2017 | Conference Paper | IST-REx-ID: 999   OA
Pentina, Anastasia, and Christoph Lampert. “Multi-Task Learning with Labeled and Unlabeled Tasks,” 70:2807–16. Omnipress, 2017.
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2017 | Conference Paper | IST-REx-ID: 1108   OA
Zimin, Alexander, and Christoph Lampert. “Learning Theory for Conditional Risk Minimization,” 54:213–22. JMLR, Inc. and Microtome Publishing, 2017.
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2017 | Conference Paper | IST-REx-ID: 750
Pielorz, Jasmin, Matthias Prandtstetter, Markus Straub, and Christoph Lampert. “Optimal Geospatial Volunteer Allocation Needs Realistic Distances.” In 2017 IEEE International Conference on Big Data, 3760–63. IEEE, 2017. https://doi.org/10.1109/BigData.2017.8258375.
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