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88 Publications

2020 | Conference Paper | IST-REx-ID: 7481 | OA
Functional vs. parametric equivalence of ReLU networks
P. Bui Thi Mai, C. Lampert, in:, n.d.
View | Files available
 
2020 | Preprint | IST-REx-ID: 8063 | OA
Object-centric image generation with factored depths, locations, and appearances
T. Anciukevicius, C. Lampert, P.M. Henderson, ArXiv (n.d.).
View | Download Preprint (ext.) | arXiv
 
2020 | Conference Paper | IST-REx-ID: 8186 | OA
Leveraging 2D data to learn textured 3D mesh generation
P.M. Henderson, V. Tsiminaki, C. Lampert, in:, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVF, 2020, pp. 7498–7507.
View | Files available | Download Submitted Version (ext.) | arXiv
 
2020 | Conference Paper | IST-REx-ID: 7936 | OA
Localizing grouped instances for efficient detection in low-resource scenarios
A. Royer, C. Lampert, in:, IEEE Winter Conference on Applications of Computer Vision, IEEE, 2020, pp. 1716–1725.
View | Files available | DOI | Download Preprint (ext.) | arXiv
 
2020 | Book Chapter | IST-REx-ID: 8092 | OA
XGAN: Unsupervised image-to-image translation for many-to-many mappings
A. Royer, K. Bousmalis, S. Gouws, F. Bertsch, I. Mosseri, F. Cole, K. Murphy, in:, R. Singh, M. Vatsa, V.M. Patel, N. Ratha (Eds.), Domain Adaptation for Visual Understanding, Springer Nature, 2020, pp. 33–49.
View | Files available | DOI | Download Preprint (ext.) | arXiv
 
2020 | Thesis | IST-REx-ID: 8390 | OA
Leveraging structure in Computer Vision tasks for flexible Deep Learning models
A. Royer, Leveraging Structure in Computer Vision Tasks for Flexible Deep Learning Models, IST Austria, 2020.
View | Files available | DOI
 
2020 | Conference Paper | IST-REx-ID: 7937 | OA
A flexible selection scheme for minimum-effort transfer learning
A. Royer, C. Lampert, in:, 2020 IEEE Winter Conference on Applications of Computer Vision, IEEE, 2020.
View | Files available | DOI | Download Preprint (ext.) | arXiv
 
2020 | Preprint | IST-REx-ID: 8188 | OA View | Download Preprint (ext.) | arXiv
 
2019 | Conference Paper | IST-REx-ID: 7479 | OA
Distillation-based training for multi-exit architectures
P. Bui Thi Mai, C. Lampert, in:, IEEE International Conference on Computer Vision, IEEE, 2019, pp. 1355–1364.
View | Files available | DOI
 
2019 | Conference Paper | IST-REx-ID: 7640 | OA
Detecting visual relationships using box attention
A. Kolesnikov, A. Kuznetsova, C. Lampert, V. Ferrari, in:, Proceedings of the 2019 International Conference on Computer Vision Workshop, IEEE, 2019, pp. 1749–1753.
View | DOI | Download Preprint (ext.) | arXiv
 
2019 | Conference Paper | IST-REx-ID: 6482 | OA
KS(conf): A light-weight test if a ConvNet operates outside of Its specifications
R. Sun, C. Lampert, in:, Springer Nature, 2019, pp. 244–259.
View | Files available | DOI | Download Preprint (ext.) | arXiv
 
2019 | Journal Article | IST-REx-ID: 6554 | OA
Zero-shot learning - A comprehensive evaluation of the good, the bad and the ugly
Y. Xian, C. Lampert, B. Schiele, Z. Akata, IEEE Transactions on Pattern Analysis and Machine Intelligence 41 (2019) 2251–2265.
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2019 | Conference Paper | IST-REx-ID: 6569 | OA
Towards understanding knowledge distillation
P. Bui Thi Mai, C. Lampert, in:, Proceedings of the 36th International Conference on Machine Learning, PMLR, 2019, pp. 5142–5151.
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2019 | Conference Paper | IST-REx-ID: 6590 | OA
Robust learning from untrusted sources
N.H. Konstantinov, C. Lampert, in:, Proceedings of the 36th International Conference on Machine Learning, PMLR, 2019, pp. 3488–3498.
View | Download Preprint (ext.) | arXiv
 
2019 | Conference Paper | IST-REx-ID: 6942 | OA
Strategy representation by decision trees with linear classifiers
P. Ashok, T. Brázdil, K. Chatterjee, J. Křetínský, C. Lampert, V. Toman, in:, 16th International Conference on Quantitative Evaluation of Systems, Springer Nature, 2019, pp. 109–128.
View | DOI | Download Preprint (ext.) | arXiv
 
2019 | Journal Article | IST-REx-ID: 6944 | OA
KS(conf): A light-weight test if a multiclass classifier operates outside of its specifications
R. Sun, C. Lampert, International Journal of Computer Vision (2019).
View | Files available | DOI
 
2019 | Journal Article | IST-REx-ID: 6952 | OA
Learning single-image 3D reconstruction by generative modelling of shape, pose and shading
P.M. Henderson, V. Ferrari, International Journal of Computer Vision (2019).
View | Files available | DOI
 
2019 | Book (Editor) | IST-REx-ID: 7171
Wie Maschinen lernen
K. Kersting, C. Lampert, C. Rothkopf, eds., Wie Maschinen Lernen, Springer Nature, 2019.
View | Files available | DOI
 
2018 | Research Data | IST-REx-ID: 5584 | OA
Nonlinear decoding of a complex movie from the mammalian retina
S. Deny, O. Marre, V. Botella-Soler, G.S. Martius, G. Tkačik, Nonlinear Decoding of a Complex Movie from the Mammalian Retina, IST Austria, 2018.
View | Files available | DOI
 
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.
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2018 | Conference Paper | IST-REx-ID: 6011 | OA
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.
View | Download Preprint (ext.) | arXiv
 
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 Preprint (ext.) | arXiv
 
2018 | Conference Paper | IST-REx-ID: 6589 | OA
The convergence of sparsified gradient methods
D.-A. Alistarh, T. Hoefler, M. Johansson, N.H. Konstantinov, S. Khirirat, C. Renggli, in:, Advances in Neural Information Processing Systems 31, Neural information processing systems, 2018, pp. 5973–5983.
View | Download Preprint (ext.) | arXiv
 
2018 | Thesis | IST-REx-ID: 68 | OA
Learning from dependent data
A. Zimin, Learning from Dependent Data, 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
 
2018 | Journal Article | IST-REx-ID: 321 | OA
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.
View | Files available | DOI
 
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
 
2017 | Conference Paper | IST-REx-ID: 652 View | DOI
 
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: 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 Preprint (ext.) | arXiv
 
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: 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: 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: 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: 911 | OA
Probabilistic image colorization
A. Royer, A. Kolesnikov, C. Lampert, in:, BMVA Press, 2017, p. 85.1-85.12.
View | Files available | DOI | arXiv
 
2016 | Conference Paper | IST-REx-ID: 1707 View | DOI
 
2016 | Conference Paper | IST-REx-ID: 8094 | OA
Self-organized control of an tendon driven arm by differential extrinsic plasticity
G.S. Martius, R. Hostettler, A. Knoll, R. Der, in:, Proceedings of the Artificial Life Conference 2016, MIT Press, 2016, pp. 142–143.
View | Files available | DOI
 
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: 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.
View | Files available
 
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.
View | DOI | Download Published Version (ext.)
 
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: 1570 | OA
Novel plasticity rule can explain the development of sensorimotor intelligence
R. Der, G.S. Martius, PNAS 112 (2015) E6224–E6232.
View | DOI | Download Submitted Version (ext.) | PubMed | Europe PMC
 
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
 
2015 | Conference Paper | IST-REx-ID: 1706 | OA
Multi-task and lifelong learning of kernels
A. Pentina, S. Ben David, in:, Springer, 2015, pp. 194–208.
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2015 | Conference Paper | IST-REx-ID: 1857 | OA
Curriculum learning of multiple tasks
A. Pentina, V. Sharmanska, C. Lampert, in:, IEEE, 2015, pp. 5492–5500.
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2015 | Conference Paper | IST-REx-ID: 1858 | OA View | DOI | Download Preprint (ext.) | arXiv
 
2015 | Conference Paper | IST-REx-ID: 1859 | OA
A multi-plane block-coordinate Frank-Wolfe algorithm for training structural SVMs with a costly max-oracle
N. Shah, V. Kolmogorov, C. Lampert, in:, IEEE, 2015, pp. 2737–2745.
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2015 | Conference Paper | IST-REx-ID: 1860 | OA
Classifier adaptation at prediction time
A. Royer, C. Lampert, in:, IEEE, 2015, pp. 1401–1409.
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2015 | Thesis | IST-REx-ID: 1401
Learning with attributes for object recognition: Parametric and non-parametrics views
V. Sharmanska, Learning with Attributes for Object Recognition: Parametric and Non-Parametrics Views, IST Austria, 2015.
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