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75 Publications

2019 | Conference Paper | IST-REx-ID: 6942   OA
P. Ashok, T. Brázdil, K. Chatterjee, J. Křetínský, C. Lampert, and V. Toman, “Strategy representation by decision trees with linear classifiers,” in 16th International Conference on Quantitative Evaluation of Systems, Glasgow, United Kingdom, 2019, vol. 11785, pp. 109–128.
View | DOI | Download (ext.) | arXiv
 
2019 | Conference Paper | IST-REx-ID: 6569   OA
P. Bui Thi Mai and C. Lampert, “Towards understanding knowledge distillation,” in Proceedings of the 36th International Conference on Machine Learning, Long Beach, CA, United States, 2019, vol. 97, pp. 5142–5151.
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2019 | Conference Paper | IST-REx-ID: 6590   OA
N. H. Konstantinov and C. Lampert, “Robust learning from untrusted sources,” in Proceedings of the 36th International Conference on Machine Learning, Long Beach, CA, USA.
View | Download (ext.) | arXiv
 
2019 | Journal Article | IST-REx-ID: 6944   OA
R. Sun and C. Lampert, “KS(conf): A light-weight test if a multiclass classifier operates outside of its specifications,” International Journal of Computer Vision, 2019.
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2019 | Conference Paper | IST-REx-ID: 6482
R. Sun and C. Lampert, “KS(conf): A light-weight test if a ConvNet operates outside of Its specifications,” presented at the GCPR: Conference on Pattern Recognition, Stuttgart, Germany, 2019, vol. 11269, pp. 244–259.
View | Files available | DOI | Download (ext.) | arXiv
 
2018 | Journal Article | IST-REx-ID: 321
T. Darrell, C. Lampert, N. Sebe, Y. Wu, and Y. 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, vol. 40, no. 5, pp. 1029–1031, 2018.
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2018 | Conference Paper | IST-REx-ID: 6589   OA
D.-A. Alistarh, T. Hoefler, M. Johansson, N. H. Konstantinov, S. Khirirat, and C. Renggli, “The convergence of sparsified gradient methods,” in Advances in Neural Information Processing Systems 31, Montreal, Canada, 2018, vol. Volume 2018, pp. 5973–5983.
View | Download (ext.) | arXiv
 
2018 | Conference Paper | IST-REx-ID: 6011   OA
I. Kuzborskij and C. Lampert, “Data-dependent stability of stochastic gradient descent,” in Proceedings of the 35 th International Conference on Machine Learning, Stockholm, Sweden, 2018, vol. 80, pp. 2815–2824.
View | Download (ext.) | arXiv
 
2018 | Journal Article | IST-REx-ID: 6554   OA
Y. Xian, C. Lampert, B. Schiele, and Z. Akata, “Zero-shot learning - A comprehensive evaluation of the good, the bad and the ugly,” IEEE Transactions on Pattern Analysis and Machine Intelligence, pp. 1–1, 2018.
View | DOI | Download (ext.) | arXiv
 
2018 | Thesis | IST-REx-ID: 68   OA
A. Zimin, Learning from dependent data. IST Austria, 2018.
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2018 | Conference Paper | IST-REx-ID: 6012   OA
S. Sahoo, C. Lampert, and G. S. Martius, “Learning equations for extrapolation and control,” in Proceedings of the 35th International Conference on Machine Learning, Stockholm, Sweden, 2018, vol. 80, pp. 4442–4450.
View | Files available | Download (ext.) | arXiv
 
2018 | Journal Article | IST-REx-ID: 563   OA
H. Ringbauer, A. Kolesnikov, D. Field, and N. H. Barton, “Estimating barriers to gene flow from distorted isolation-by-distance patterns,” Genetics, vol. 208, no. 3, pp. 1231–1245, 2018.
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2018 | Research Data | IST-REx-ID: 5584
S. Deny, O. Marre, V. Botella-Soler, G. S. Martius, and G. Tkacik, Nonlinear decoding of a complex movie from the mammalian retina. IST Austria, 2018.
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2018 | Thesis | IST-REx-ID: 197   OA
A. Kolesnikov, Weakly-Supervised Segmentation and Unsupervised Modeling of Natural Images. IST Austria, 2018.
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2017 | Conference Paper | IST-REx-ID: 911   OA
A. Royer, A. Kolesnikov, and C. Lampert, “Probabilistic image colorization,” presented at the BMVC: British Machine Vision Conference, London, United Kingdom.
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2017 | Conference Paper | IST-REx-ID: 1000   OA
A. Kolesnikov and C. Lampert, “PixelCNN models with auxiliary variables for natural image modeling,” presented at the ICML: International Conference on Machine Learning, Sydney, Australia, 2017, vol. 70, pp. 1905–1914.
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2017 | Conference Paper | IST-REx-ID: 652
R. Der and G. S. Martius, “Dynamical self consistency leads to behavioral development and emergent social interactions in robots,” presented at the ICDL EpiRob: International Conference on Development and Learning and Epigenetic Robotics , Cergy-Pontoise, France, 2017.
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2017 | Conference Paper | IST-REx-ID: 998   OA
S. A. Rebuffi, A. Kolesnikov, G. Sperl, and C. Lampert, “iCaRL: Incremental classifier and representation learning,” presented at the CVPR: Computer Vision and Pattern Recognition, Honolulu, HA, United States, 2017, vol. 2017, pp. 5533–5542.
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2017 | Conference Paper | IST-REx-ID: 6841   OA
G. S. Martius and C. Lampert, “Extrapolation and learning equations,” in 5th International Conference on Learning Representations, ICLR 2017 - Workshop Track Proceedings, Toulon, France, 2017.
View | Download (ext.) | arXiv
 
2017 | Journal Article | IST-REx-ID: 658   OA
R. Der and G. S. Martius, “Self organized behavior generation for musculoskeletal robots,” Frontiers in Neurorobotics, vol. 11, no. MAR, 2017.
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