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75 Publications

2018 | Conference Paper | IST-REx-ID: 6012   OA
Learning equations for extrapolation and control
S. Sahoo, C. Lampert, G.S. Martius, in:, Proceedings of the 35th International Conference on Machine Learning, International Machine Learning Society, 2018, pp. 4442–4450.
View | Files available | Download (ext.) | arXiv
 
2018 | Journal Article | IST-REx-ID: 563   OA
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.
View | Files available | DOI | Download (ext.)
 
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.
View | Files available | DOI
 
2018 | Thesis | IST-REx-ID: 197   OA
Weakly-Supervised Segmentation and Unsupervised Modeling of Natural Images
A. Kolesnikov, Weakly-Supervised Segmentation and Unsupervised Modeling of Natural Images, IST Austria, 2018.
View | Files available | DOI
 
2017 | Conference Paper | IST-REx-ID: 911   OA
Probabilistic image colorization
A. Royer, A. Kolesnikov, C. Lampert, in:, BMVA Press, n.d.
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2017 | Conference Paper | IST-REx-ID: 1000   OA
PixelCNN models with auxiliary variables for natural image modeling
A. Kolesnikov, C. Lampert, in:, Omnipress, 2017, pp. 1905–1914.
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2017 | Conference Paper | IST-REx-ID: 652 View | DOI
 
2017 | Conference Paper | IST-REx-ID: 998   OA
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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2017 | Conference Paper | IST-REx-ID: 6841   OA
Extrapolation and learning equations
G.S. Martius, C. Lampert, in:, 5th International Conference on Learning Representations, ICLR 2017 - Workshop Track Proceedings, International Conference on Learning Representations, 2017.
View | Download (ext.) | arXiv
 
2017 | Journal Article | IST-REx-ID: 658   OA
Self organized behavior generation for musculoskeletal robots
R. Der, G.S. Martius, Frontiers in Neurorobotics 11 (2017).
View | Files available | DOI
 
2017 | Conference Paper | IST-REx-ID: 999   OA
Multi-task learning with labeled and unlabeled tasks
A. Pentina, C. Lampert, in:, Omnipress, 2017, pp. 2807–2816.
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2017 | Conference Paper | IST-REx-ID: 1108   OA
Learning theory for conditional risk minimization
A. Zimin, C. Lampert, in:, JMLR, Inc. and Microtome Publishing, 2017, pp. 213–222.
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2017 | 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, 2017, pp. 3760–3763.
View | DOI
 
2016 | Conference Paper | IST-REx-ID: 1369   OA
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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2016 | Conference Paper | IST-REx-ID: 1098   OA
Lifelong learning with weighted majority votes
A. Pentina, R. Urner, in:, Neural Information Processing Systems, 2016, pp. 3619–3627.
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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.
View | DOI
 
2016 | Conference Paper | IST-REx-ID: 1707 View | DOI
 
2016 | Conference Paper | IST-REx-ID: 1102   OA
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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2016 | Thesis | IST-REx-ID: 1126   OA
Theoretical foundations of multi-task lifelong learning
A. Pentina, Theoretical Foundations of Multi-Task Lifelong Learning, IST Austria, 2016.
View | Files available | DOI
 
2015 | Journal Article | IST-REx-ID: 1655   OA
Quantifying emergent behavior of autonomous robots
G.S. Martius, E. Olbrich, Entropy 17 (2015) 7266–7297.
View | Files available | DOI
 

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