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76 Publications

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).
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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 (ext.) | arXiv
 
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, n.d.
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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).
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2019 | Conference Paper | IST-REx-ID: 6482
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.
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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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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.
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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.
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2018 | 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 (2018) 1–1.
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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: 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.
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2018 | Thesis | IST-REx-ID: 68   OA
Learning from dependent data
A. Zimin, Learning from Dependent Data, IST Austria, 2018.
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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. 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
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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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: 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.
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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 | Journal Article | IST-REx-ID: 658   OA
Self organized behavior generation for musculoskeletal robots
R. Der, G.S. Martius, Frontiers in Neurorobotics 11 (2017) 00008.
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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.
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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.
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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.
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2015 | Journal Article | IST-REx-ID: 1655   OA
Quantifying emergent behavior of autonomous robots
G.S. Martius, E. Olbrich, Entropy 17 (2015) 7266–7297.
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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 (ext.) | arXiv
 
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 | 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.
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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: 1425   OA
Lifelong learning with non-i.i.d. tasks
A. Pentina, C. Lampert, in:, Neural Information Processing Systems, 2015, pp. 1540–1548.
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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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2015 | Journal Article | IST-REx-ID: 1533
Segmentation over detection via optimal sparse reconstructions
W. Xia, C. Domokos, J. Xiong, L. Cheong, S. Yan, IEEE Transactions on Circuits and Systems for Video Technology 25 (2015) 1295–1308.
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2014 | Conference Paper | IST-REx-ID: 2171   OA
Closed-form approximate CRF training for scalable image segmentation
A. Kolesnikov, M. Guillaumin, V. Ferrari, C. Lampert, in:, D. Fleet, T. Pajdla, B. Schiele, T. Tuytelaars (Eds.), Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer, 2014, pp. 550–565.
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2014 | Conference Paper | IST-REx-ID: 2033   OA
Mind the nuisance: Gaussian process classification using privileged noise
D. Hernandez Lobato, V. Sharmanska, K. Kersting, C. Lampert, N. Quadrianto, in:, Advances in Neural Information Processing Systems, Neural Information Processing Systems, 2014, pp. 837–845.
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2014 | Conference Paper | IST-REx-ID: 2057   OA
Majority vote of diverse classifiers for late fusion
E. Morvant, A. Habrard, S. Ayache, in:, Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer, 2014, pp. 153–162.
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2014 | Conference Paper | IST-REx-ID: 2172
Deep Fisher Kernels – End to end learning of the Fisher Kernel GMM parameters
V. Sydorov, M. Sakurada, C. Lampert, in:, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, IEEE, 2014, pp. 1402–1409.
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2014 | Conference Paper | IST-REx-ID: 2189   OA View | Download (ext.)
 
2014 | Conference Paper | IST-REx-ID: 2160   OA
A PAC-Bayesian bound for Lifelong Learning
A. Pentina, C. Lampert, in:, E. Xing, T. Jebara (Eds.), Omnipress, 2014, pp. 991–999.
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2014 | Conference Paper | IST-REx-ID: 2173   OA
CoConut: Co-classification with output space regularization
S. Khamis, C. Lampert, in:, Proceedings of the British Machine Vision Conference 2014, BMVA Press, 2014.
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2014 | Journal Article | IST-REx-ID: 2180   OA
Learning a priori constrained weighted majority votes
A. Bellet, A. Habrard, E. Morvant, M. Sebban, Machine Learning 97 (2014) 129–154.
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2014 | Book Chapter | IST-REx-ID: 1829
Movement templates for learning of hitting and batting
K. Muelling, O. Kroemer, C. Lampert, B. Schölkopf, in:, J. Kober, J. Peters (Eds.), Learning Motor Skills, Springer, 2014, pp. 69–82.
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2013 | Conference Paper | IST-REx-ID: 2520   OA
The supervised IBP: Neighbourhood preserving infinite latent feature models
N. Quadrianto, V. Sharmanska, D. Knowles, Z. Ghahramani, in:, Proceedings of the 29th Conference Uncertainty in Artificial Intelligence, AUAI Press, 2013, pp. 527–536.
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2013 | Conference Paper | IST-REx-ID: 2948   OA
Beyond dataset bias: Multi-task unaligned shared knowledge transfer
T. Tommasi, N. Quadrianto, B. Caputo, C. Lampert, 7724 (2013) 1–15.
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2013 | Encyclopedia Article | IST-REx-ID: 3321
Kernel based learning
N. Quadrianto, C. Lampert, in:, W. Dubitzky, O. Wolkenhauer, K. Cho, H. Yokota (Eds.), Encyclopedia of Systems Biology, Springer, 2013, pp. 1069–1069.
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2013 | Conference Paper | IST-REx-ID: 2901   OA
Computing the M most probable modes of a graphical model
C. Chen, V. Kolmogorov, Z. Yan, D. Metaxas, C. Lampert, in:, JMLR, 2013, pp. 161–169.
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2013 | Conference Paper | IST-REx-ID: 2293   OA
Learning to rank using privileged information
V. Sharmanska, N. Quadrianto, C. Lampert, in:, IEEE, 2013, pp. 825–832.
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2013 | Journal Article | IST-REx-ID: 2516
Attribute-based classification for zero-shot learning of object categories
C. Lampert, H. Nickisch, S. Harmeling, IEEE Transactions on Pattern Analysis and Machine Intelligence 36 (2013) 453–465.
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2013 | Conference Paper | IST-REx-ID: 2294   OA
Drosophila Embryo Stage Annotation using Label Propagation
T. Kazmar, E. Kvon, A. Stark, C. Lampert, in:, IEEE, 2013.
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2012 | Conference Paper | IST-REx-ID: 3124
Approximating marginals using discrete energy minimization
F. Korc, V. Kolmogorov, C. Lampert, in:, ICML, 2012.
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2012 | Technical Report | IST-REx-ID: 5396   OA
Approximating marginals using discrete energy minimization
F. Korc, V. Kolmogorov, C. Lampert, Approximating Marginals Using Discrete Energy Minimization, IST Austria, 2012.
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2012 | Conference Paper | IST-REx-ID: 3125
Augmented attribute representations
V. Sharmanska, N. Quadrianto, C. Lampert, in:, Springer, 2012, pp. 242–255.
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2012 | Conference Paper | IST-REx-ID: 2825
Dynamic pruning of factor graphs for maximum marginal prediction
C. Lampert, in:, Neural Information Processing Systems, 2012, pp. 82–90.
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2012 | Conference Paper | IST-REx-ID: 3126
Information theoretic clustering using minimal spanning trees
A. Müller, S. Nowozin, C. Lampert, in:, Springer, 2012, pp. 205–215.
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2012 | Journal Article | IST-REx-ID: 3164
Guest editorial: Special issue on structured prediction and inference
M. Blaschko, C. Lampert, International Journal of Computer Vision 99 (2012) 257–258.
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2012 | Conference Paper | IST-REx-ID: 2915
Multi-modal learning for dynamic tactile sensing
O. Kroemer, C. Lampert, J. Peters, in:, Deutsches Zentrum für Luft und Raumfahrt, 2012.
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2012 | Conference Paper | IST-REx-ID: 3127   OA
The most persistent soft-clique in a set of sampled graphs
N. Quadrianto, C. Lampert, C. Chen, in:, Proceedings of the 29th International Conference on Machine Learning, Omnipress, 2012, pp. 211–218.
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2012 | Journal Article | IST-REx-ID: 3248   OA
Real-time detection of colored objects in multiple camera streams with off-the-shelf hardware components
C. Lampert, J. Peters, Journal of Real-Time Image Processing 7 (2012) 31–41.
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2011 | Conference Paper | IST-REx-ID: 3319
Learning multi-view neighborhood preserving projections
N. Quadrianto, C. Lampert, in:, Omnipress, 2011, pp. 425–432.
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2011 | Conference Paper | IST-REx-ID: 3163
Maximum margin multi-label structured prediction
C. Lampert, in:, Neural Information Processing Systems, 2011.
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2011 | Conference Poster | IST-REx-ID: 3322
Maximum margin multi label structured prediction
C. Lampert, Maximum Margin Multi Label Structured Prediction, Neural Information Processing Systems, 2011.
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2011 | Journal Article | IST-REx-ID: 3389
Semi supervised kernel canonical correlation analysis with application to human fMRI
M. Blaschko, J. Shelton, A. Bartels, C. Lampert, A. Gretton, Pattern Recognition Letters 32 (2011) 1572–1583.
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2011 | Technical Report | IST-REx-ID: 5386   OA
Enforcing topological constraints in random field image segmentation
C. Chen, D. Freedman, C. Lampert, Enforcing Topological Constraints in Random Field Image Segmentation, IST Austria, 2011.
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2011 | Conference Paper | IST-REx-ID: 3336
Enforcing topological constraints in random field image segmentation
C. Chen, D. Freedman, C. Lampert, in:, CVPR: Computer Vision and Pattern Recognition, IEEE, 2011, pp. 2089–2096.
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2011 | Journal Article | IST-REx-ID: 3320
Structured learning and prediction in computer vision
S. Nowozin, C. Lampert, Foundations and Trends in Computer Graphics and Vision 6 (2011) 185–365.
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2011 | Conference Paper | IST-REx-ID: 3337
Learning anticipation policies for robot table tennis
Z. Wang, C. Lampert, K. Mülling, B. Schölkopf, J. Peters, in:, IEEE, 2011, pp. 332–337.
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2011 | Journal Article | IST-REx-ID: 3382
Learning dynamic tactile sensing with robust vision based training
O. Kroemer, C. Lampert, J. Peters, IEEE Transactions on Robotics 27 (2011) 545–557.
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2010 | Conference Paper | IST-REx-ID: 3794 View | DOI | Download (ext.)
 
2010 | Conference Paper | IST-REx-ID: 3793
On parameter learning in CRF-based approaches to object class image segmentation
S. Nowozin, P. Gehler, C. Lampert, in:, Springer, 2010, pp. 98–111.
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