Please note that LibreCat no longer supports Internet Explorer versions 8 or 9 (or earlier).

We recommend upgrading to the latest Internet Explorer, Google Chrome, or Firefox.




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.
View | Files available | DOI
 
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.
View | Files available
 
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.
View | Download (ext.) | arXiv
 
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.
View | Files available | DOI
 
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.
View | Files available | DOI | Download (ext.) | arXiv
 
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.
View | DOI
 
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.
View | Download (ext.) | arXiv
 
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.
View | Download (ext.) | arXiv
 
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.
View | DOI | Download (ext.) | arXiv
 
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 .
View | Files available | DOI | Download (ext.)
 
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.
View | Files available | Download (ext.) | arXiv
 
2018 | Thesis | IST-REx-ID: 68   OA
Zimin, Alexander. Learning from Dependent Data. IST Austria, 2018, doi:10.15479/AT:ISTA:TH1048.
View | Files available | DOI
 
2018 | Research Data | IST-REx-ID: 5584   OA
Deny, Stephane, et al. Nonlinear Decoding of a Complex Movie from the Mammalian Retina. IST Austria, 2018, doi:10.15479/AT:ISTA:98.
View | Files available | DOI
 
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.
View | Files available | DOI
 
2017 | Conference Paper | IST-REx-ID: 911   OA
Royer, Amélie, et al. Probabilistic Image Colorization. BMVA Press.
View | Download (ext.)
 
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.
View | Download (ext.)
 
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.
View | DOI
 
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.
View | Download (ext.) | arXiv
 
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.
View | DOI | Download (ext.)
 

Search

Filter Publications

Display / Sort

Citation Style: MLA

Export / Embed