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109 Publications
2018 | Journal Article | IST-REx-ID: 321
Guest editors' introduction to the special section on learning with Shared information for computer vision and multimedia analysis
T. Darrell, C. Lampert, N. Sebe, Y. Wu, Y. Yan, IEEE Transactions on Pattern Analysis and Machine Intelligence 40 (2018) 1029–1031.
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T. Darrell, C. Lampert, N. Sebe, Y. Wu, Y. Yan, IEEE Transactions on Pattern Analysis and Machine Intelligence 40 (2018) 1029–1031.
2018 | Conference Paper | IST-REx-ID: 6011 
Data-dependent stability of stochastic gradient descent
I. Kuzborskij, C. Lampert, in:, Proceedings of the 35 Th International Conference on Machine Learning, International Machine Learning Society, 2018, pp. 2815–2824.
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| arXiv
I. Kuzborskij, C. Lampert, in:, Proceedings of the 35 Th International Conference on Machine Learning, International Machine Learning Society, 2018, pp. 2815–2824.
2018 | Journal Article | IST-REx-ID: 563
Estimating barriers to gene flow from distorted isolation-by-distance patterns
H. Ringbauer, A. Kolesnikov, D. Field, N.H. Barton, Genetics 208 (2018) 1231–1245.
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H. Ringbauer, A. Kolesnikov, D. Field, N.H. Barton, Genetics 208 (2018) 1231–1245.
2018 | Conference Paper | IST-REx-ID: 6012
Learning equations for extrapolation and control
S. Sahoo, C. Lampert, G. Martius, in:, Proceedings of the 35th International Conference on Machine Learning, International Machine Learning Society, 2018, pp. 4442–4450.
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| arXiv
S. Sahoo, C. Lampert, G. Martius, in:, Proceedings of the 35th International Conference on Machine Learning, International Machine Learning Society, 2018, pp. 4442–4450.
2018 | Thesis | IST-REx-ID: 68
Learning from dependent data
A. Zimin, Learning from Dependent Data, IST Austria, 2018.
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A. Zimin, Learning from Dependent Data, IST Austria, 2018.
2018 | Research Data | IST-REx-ID: 5584
Nonlinear decoding of a complex movie from the mammalian retina
S. Deny, O. Marre, V. Botella-Soler, G.S. Martius, G. Tkacik, Nonlinear Decoding of a Complex Movie from the Mammalian Retina, IST Austria, 2018.
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S. Deny, O. Marre, V. Botella-Soler, G.S. Martius, G. Tkacik, Nonlinear Decoding of a Complex Movie from the Mammalian Retina, IST Austria, 2018.
2018 | Thesis | IST-REx-ID: 197
Weakly-Supervised Segmentation and Unsupervised Modeling of Natural Images
A. Kolesnikov, Weakly-Supervised Segmentation and Unsupervised Modeling of Natural Images, IST Austria, 2018.
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A. Kolesnikov, Weakly-Supervised Segmentation and Unsupervised Modeling of Natural Images, IST Austria, 2018.
2018 | Conference Paper | IST-REx-ID: 750
Optimal geospatial volunteer allocation needs realistic distances
J. Pielorz, M. Prandtstetter, M. Straub, C. Lampert, in:, 2017 IEEE International Conference on Big Data, IEEE, 2018.
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J. Pielorz, M. Prandtstetter, M. Straub, C. Lampert, in:, 2017 IEEE International Conference on Big Data, IEEE, 2018.
2017 | Conference Paper | IST-REx-ID: 911
Probabilistic image colorization
A. Royer, A. Kolesnikov, C. Lampert, in:, BMVA Press, n.d.
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A. Royer, A. Kolesnikov, C. Lampert, in:, BMVA Press, n.d.
2017 | Conference Paper | IST-REx-ID: 1000
PixelCNN models with auxiliary variables for natural image modeling
A. Kolesnikov, C. Lampert, in:, Omnipress, 2017, pp. 1905–1914.
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A. Kolesnikov, C. Lampert, in:, Omnipress, 2017, pp. 1905–1914.
2017 | Conference Paper | IST-REx-ID: 652
Dynamical self consistency leads to behavioral development and emergent social interactions in robots
R. Der, G.S. Martius, in:, IEEE, 2017.
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R. Der, G.S. Martius, in:, IEEE, 2017.
2017 | Conference Paper | IST-REx-ID: 998
iCaRL: Incremental classifier and representation learning
S.A. Rebuffi, A. Kolesnikov, G. Sperl, C. Lampert, in:, IEEE, 2017, pp. 5533–5542.
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S.A. Rebuffi, A. Kolesnikov, G. Sperl, C. Lampert, in:, IEEE, 2017, pp. 5533–5542.
2017 | Journal Article | IST-REx-ID: 658
Self organized behavior generation for musculoskeletal robots
R. Der, G.S. Martius, Frontiers in Neurorobotics 11 (2017).
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R. Der, G.S. Martius, Frontiers in Neurorobotics 11 (2017).
2017 | Conference Paper | IST-REx-ID: 999
Multi-task learning with labeled and unlabeled tasks
A. Pentina, C. Lampert, in:, Omnipress, 2017, pp. 2807–2816.
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A. Pentina, C. Lampert, in:, Omnipress, 2017, pp. 2807–2816.
2017 | Conference Paper | IST-REx-ID: 1108
Learning theory for conditional risk minimization
A. Zimin, C. Lampert, in:, JMLR, Inc. and Microtome Publishing, 2017, pp. 213–222.
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A. Zimin, C. Lampert, in:, JMLR, Inc. and Microtome Publishing, 2017, pp. 213–222.
2016 | Conference Paper | IST-REx-ID: 1369
Seed, expand and constrain: Three principles for weakly-supervised image segmentation
A. Kolesnikov, C. Lampert, in:, Springer, 2016, pp. 695–711.
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A. Kolesnikov, C. Lampert, in:, Springer, 2016, pp. 695–711.
2016 | Conference Paper | IST-REx-ID: 1098
Lifelong learning with weighted majority votes
A. Pentina, R. Urner, in:, Neural Information Processing Systems, 2016, pp. 3619–3627.
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A. Pentina, R. Urner, in:, Neural Information Processing Systems, 2016, pp. 3619–3627.
2016 | Conference Paper | IST-REx-ID: 1214
Compliant control for soft robots: Emergent behavior of a tendon driven anthropomorphic arm
G.S. Martius, R. Hostettler, A. Knoll, R. Der, in:, IEEE, 2016.
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G.S. Martius, R. Hostettler, A. Knoll, R. Der, in:, IEEE, 2016.
2016 | Conference Paper | IST-REx-ID: 1707
Optimal geospatial allocation of volunteers for crisis management
J. Pielorz, C. Lampert, in:, IEEE, 2016.
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J. Pielorz, C. Lampert, in:, IEEE, 2016.
2016 | Conference Paper | IST-REx-ID: 1102
Improving weakly-supervised object localization by micro-annotation
A. Kolesnikov, C. Lampert, in:, Proceedings of the British Machine Vision Conference 2016, BMVA Press, 2016, p. 92.1-92.12.
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A. Kolesnikov, C. Lampert, in:, Proceedings of the British Machine Vision Conference 2016, BMVA Press, 2016, p. 92.1-92.12.