Please note that LibreCat no longer supports Internet Explorer versions 8 or 9 (or earlier).

We recommend upgrading to the latest Internet Explorer, Google Chrome, or Firefox.




75 Publications

2019 | Conference Paper | IST-REx-ID: 6942   OA
Ashok P, Brázdil T, Chatterjee K, Křetínský J, Lampert C, Toman V. Strategy representation by decision trees with linear classifiers. In: 16th International Conference on Quantitative Evaluation of Systems. Vol 11785. Springer Nature; 2019:109-128. doi:10.1007/978-3-030-30281-8_7
View | DOI | Download (ext.) | arXiv
 
2019 | Conference Paper | IST-REx-ID: 6569   OA
Bui Thi Mai P, Lampert C. Towards understanding knowledge distillation. In: Proceedings of the 36th International Conference on Machine Learning. Vol 97. PMLR; 2019:5142-5151.
View | Files available
 
2019 | Conference Paper | IST-REx-ID: 6590   OA
Konstantinov NH, Lampert C. Robust learning from untrusted sources. In: Proceedings of the 36th International Conference on Machine Learning.
View | Download (ext.) | arXiv
 
2019 | Journal Article | IST-REx-ID: 6944   OA
Sun R, Lampert C. KS(conf): A light-weight test if a multiclass classifier operates outside of its specifications. International Journal of Computer Vision. 2019. doi:10.1007/s11263-019-01232-x
View | Files available | DOI
 
2019 | Conference Paper | IST-REx-ID: 6482
Sun R, Lampert C. KS(conf): A light-weight test if a ConvNet operates outside of Its specifications. In: Vol 11269. Springer Nature; 2019:244-259. doi:10.1007/978-3-030-12939-2_18
View | Files available | DOI | Download (ext.) | arXiv
 
2018 | Journal Article | IST-REx-ID: 321
Darrell T, Lampert C, Sebe N, Wu Y, Yan Y. 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. 2018;40(5):1029-1031. doi:10.1109/TPAMI.2018.2804998
View | DOI
 
2018 | Conference Paper | IST-REx-ID: 6589   OA
Alistarh D-A, Hoefler T, Johansson M, Konstantinov NH, Khirirat S, Renggli C. The convergence of sparsified gradient methods. In: Advances in Neural Information Processing Systems 31. Vol Volume 2018. Neural information processing systems; 2018:5973-5983.
View | Download (ext.) | arXiv
 
2018 | Conference Paper | IST-REx-ID: 6011   OA
Kuzborskij I, Lampert C. Data-dependent stability of stochastic gradient descent. In: Proceedings of the 35 Th International Conference on Machine Learning. Vol 80. International Machine Learning Society; 2018:2815-2824.
View | Download (ext.) | arXiv
 
2018 | Journal Article | IST-REx-ID: 6554   OA
Xian Y, Lampert C, Schiele B, Akata Z. Zero-shot learning - A comprehensive evaluation of the good, the bad and the ugly. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2018:1-1. doi:10.1109/tpami.2018.2857768
View | DOI | Download (ext.) | arXiv
 
2018 | Thesis | IST-REx-ID: 68   OA
Zimin A. Learning from Dependent Data. IST Austria; 2018. doi:10.15479/AT:ISTA:TH1048
View | Files available | DOI
 
2018 | Conference Paper | IST-REx-ID: 6012   OA
Sahoo S, Lampert C, Martius GS. Learning equations for extrapolation and control. In: Proceedings of the 35th International Conference on Machine Learning. Vol 80. International Machine Learning Society; 2018:4442-4450.
View | Files available | Download (ext.) | arXiv
 
2018 | Journal Article | IST-REx-ID: 563   OA
Ringbauer H, Kolesnikov A, Field D, Barton NH. Estimating barriers to gene flow from distorted isolation-by-distance patterns. Genetics. 2018;208(3):1231-1245. doi:10.1534/genetics.117.300638
View | Files available | DOI | Download (ext.)
 
2018 | Research Data | IST-REx-ID: 5584
Deny S, Marre O, Botella-Soler V, Martius GS, Tkacik G. Nonlinear Decoding of a Complex Movie from the Mammalian Retina. IST Austria; 2018. doi:10.15479/AT:ISTA:98
View | Files available | DOI
 
2018 | Thesis | IST-REx-ID: 197   OA
Kolesnikov A. Weakly-Supervised Segmentation and Unsupervised Modeling of Natural Images. IST Austria; 2018. doi:10.15479/AT:ISTA:th_1021
View | Files available | DOI
 
2017 | Conference Paper | IST-REx-ID: 911   OA
Royer A, Kolesnikov A, Lampert C. Probabilistic image colorization. In: BMVA Press.
View | Download (ext.)
 
2017 | Conference Paper | IST-REx-ID: 1000   OA
Kolesnikov A, Lampert C. PixelCNN models with auxiliary variables for natural image modeling. In: Vol 70. Omnipress; 2017:1905-1914.
View | Download (ext.)
 
2017 | Conference Paper | IST-REx-ID: 652
Der R, Martius GS. Dynamical self consistency leads to behavioral development and emergent social interactions in robots. In: IEEE; 2017. doi:10.1109/DEVLRN.2016.7846789
View | DOI
 
2017 | Conference Paper | IST-REx-ID: 998   OA
Rebuffi SA, Kolesnikov A, Sperl G, Lampert C. iCaRL: Incremental classifier and representation learning. In: Vol 2017. IEEE; 2017:5533-5542. doi:10.1109/CVPR.2017.587
View | DOI | Download (ext.)
 
2017 | Conference Paper | IST-REx-ID: 6841   OA
Martius GS, Lampert C. Extrapolation and learning equations. 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
Der R, Martius GS. Self organized behavior generation for musculoskeletal robots. Frontiers in Neurorobotics. 2017;11(MAR). doi:10.3389/fnbot.2017.00008
View | Files available | DOI
 
2017 | Conference Paper | IST-REx-ID: 999   OA
Pentina A, Lampert C. Multi-task learning with labeled and unlabeled tasks. In: Vol 70. Omnipress; 2017:2807-2816.
View | Download (ext.)
 
2017 | Conference Paper | IST-REx-ID: 1108   OA
Zimin A, Lampert C. Learning theory for conditional risk minimization. In: Vol 54. JMLR, Inc. and Microtome Publishing; 2017:213-222.
View | Download (ext.)
 
2017 | Conference Paper | IST-REx-ID: 750
Pielorz J, Prandtstetter M, Straub M, Lampert C. Optimal geospatial volunteer allocation needs realistic distances. In: 2017 IEEE International Conference on Big Data. IEEE; 2017:3760-3763. doi:10.1109/BigData.2017.8258375
View | DOI
 
2016 | Conference Paper | IST-REx-ID: 1369   OA
Kolesnikov A, Lampert C. Seed, expand and constrain: Three principles for weakly-supervised image segmentation. In: Vol 9908. Springer; 2016:695-711. doi:10.1007/978-3-319-46493-0_42
View | DOI | Download (ext.)
 
2016 | Conference Paper | IST-REx-ID: 1098   OA
Pentina A, Urner R. Lifelong learning with weighted majority votes. In: Vol 29. Neural Information Processing Systems; 2016:3619-3627.
View | Files available
 
2016 | Conference Paper | IST-REx-ID: 1214
Martius GS, Hostettler R, Knoll A, Der R. Compliant control for soft robots: Emergent behavior of a tendon driven anthropomorphic arm. In: Vol 2016-November. IEEE; 2016. doi:10.1109/IROS.2016.7759138
View | DOI
 
2016 | Conference Paper | IST-REx-ID: 1707
Pielorz J, Lampert C. Optimal geospatial allocation of volunteers for crisis management. In: IEEE; 2016. doi:10.1109/ICT-DM.2015.7402041
View | DOI
 
2016 | Conference Paper | IST-REx-ID: 1102   OA
Kolesnikov A, Lampert C. Improving weakly-supervised object localization by micro-annotation. In: Proceedings of the British Machine Vision Conference 2016. Vol 2016-September. BMVA Press; 2016:92.1-92.12. doi:10.5244/C.30.92
View | DOI | Download (ext.)
 
2016 | Thesis | IST-REx-ID: 1126   OA
Pentina A. Theoretical Foundations of Multi-Task Lifelong Learning. IST Austria; 2016. doi:10.15479/AT:ISTA:TH_776
View | Files available | DOI
 
2015 | Journal Article | IST-REx-ID: 1655   OA
Martius GS, Olbrich E. Quantifying emergent behavior of autonomous robots. Entropy. 2015;17(10):7266-7297. doi:10.3390/e17107266
View | Files available | DOI
 
2015 | Conference Paper | IST-REx-ID: 1706   OA
Pentina A, Ben David S. Multi-task and lifelong learning of kernels. In: Vol 9355. Springer; 2015:194-208. doi:10.1007/978-3-319-24486-0_13
View | DOI | Download (ext.)
 
2015 | Conference Paper | IST-REx-ID: 1857   OA
Pentina A, Sharmanska V, Lampert C. Curriculum learning of multiple tasks. In: IEEE; 2015:5492-5500. doi:10.1109/CVPR.2015.7299188
View | DOI | Download (ext.)
 
2015 | Conference Paper | IST-REx-ID: 1858   OA
Lampert C. Predicting the future behavior of a time-varying probability distribution. In: IEEE; 2015:942-950. doi:10.1109/CVPR.2015.7298696
View | DOI | Download (ext.) | arXiv
 
2015 | Conference Paper | IST-REx-ID: 1860   OA
Royer A, Lampert C. Classifier adaptation at prediction time. In: IEEE; 2015:1401-1409. doi:10.1109/CVPR.2015.7298746
View | DOI | Download (ext.)
 
2015 | Journal Article | IST-REx-ID: 1570   OA
Der R, Martius GS. Novel plasticity rule can explain the development of sensorimotor intelligence. PNAS. 2015;112(45):E6224-E6232. doi:10.1073/pnas.1508400112
View | DOI | Download (ext.) | PubMed | Europe PMC
 
2015 | Conference Paper | IST-REx-ID: 1859   OA
Shah N, Kolmogorov V, Lampert C. A multi-plane block-coordinate Frank-Wolfe algorithm for training structural SVMs with a costly max-oracle. In: IEEE; 2015:2737-2745. doi:10.1109/CVPR.2015.7298890
View | DOI | Download (ext.)
 
2015 | Conference Paper | IST-REx-ID: 1425   OA
Pentina A, Lampert C. Lifelong learning with non-i.i.d. tasks. In: Vol 2015. Neural Information Processing Systems; 2015:1540-1548.
View | Download (ext.)
 
2015 | Thesis | IST-REx-ID: 1401
Sharmanska V. Learning with Attributes for Object Recognition: Parametric and Non-Parametrics Views. IST Austria; 2015.
View | Download (ext.)
 
2015 | Journal Article | IST-REx-ID: 1533
Xia W, Domokos C, Xiong J, Cheong L, Yan S. Segmentation over detection via optimal sparse reconstructions. IEEE Transactions on Circuits and Systems for Video Technology. 2015;25(8):1295-1308. doi:10.1109/TCSVT.2014.2379972
View | DOI
 
2014 | Conference Paper | IST-REx-ID: 2171   OA
Kolesnikov A, Guillaumin M, Ferrari V, Lampert C. Closed-form approximate CRF training for scalable image segmentation. In: Fleet D, Pajdla T, Schiele B, Tuytelaars T, eds. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol 8691. Springer; 2014:550-565. doi:10.1007/978-3-319-10578-9_36
View | DOI | Download (ext.)
 
2014 | Conference Paper | IST-REx-ID: 2033   OA
Hernandez Lobato D, Sharmanska V, Kersting K, Lampert C, Quadrianto N. Mind the nuisance: Gaussian process classification using privileged noise. In: Advances in Neural Information Processing Systems. Vol 1. Neural Information Processing Systems; 2014:837-845.
View | Download (ext.)
 
2014 | Conference Paper | IST-REx-ID: 2057   OA
Morvant E, Habrard A, Ayache S. Majority vote of diverse classifiers for late fusion. In: Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol 8621. Springer; 2014:153-162. doi:10.1007/978-3-662-44415-3_16
View | DOI | Download (ext.) | arXiv
 
2014 | Conference Paper | IST-REx-ID: 2172
Sydorov V, Sakurada M, Lampert C. Deep Fisher Kernels – End to end learning of the Fisher Kernel GMM parameters. In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. IEEE; 2014:1402-1409. doi:10.1109/CVPR.2014.182
View | DOI
 
2014 | Conference Paper | IST-REx-ID: 2189   OA
Morvant E. Adaptation de domaine de vote de majorité par auto-étiquetage non itératif. In: Vol 1. Elsevier; 2014:49-58.
View | Download (ext.)
 
2014 | Conference Paper | IST-REx-ID: 2160   OA
Pentina A, Lampert C. A PAC-Bayesian bound for Lifelong Learning. In: Xing E, Jebara T, eds. Vol 32. Omnipress; 2014:991-999.
View | Download (ext.)
 
2014 | Conference Paper | IST-REx-ID: 2173   OA
Khamis S, Lampert C. CoConut: Co-classification with output space regularization. In: Proceedings of the British Machine Vision Conference 2014. BMVA Press; 2014.
View | Files available
 
2014 | Journal Article | IST-REx-ID: 2180   OA
Bellet A, Habrard A, Morvant E, Sebban M. Learning a priori constrained weighted majority votes. Machine Learning. 2014;97(1-2):129-154. doi:10.1007/s10994-014-5462-z
View | DOI | Download (ext.)
 
2014 | Book Chapter | IST-REx-ID: 1829
Muelling K, Kroemer O, Lampert C, Schölkopf B. Movement templates for learning of hitting and batting. In: Kober J, Peters J, eds. Learning Motor Skills. Vol 97. From Algorithms to Robot Experiments. Springer; 2014:69-82. doi:10.1007/978-3-319-03194-1_3
View | DOI
 
2013 | Conference Paper | IST-REx-ID: 2520   OA
Quadrianto N, Sharmanska V, Knowles D, Ghahramani Z. The supervised IBP: Neighbourhood preserving infinite latent feature models. In: Proceedings of the 29th Conference Uncertainty in Artificial Intelligence. AUAI Press; 2013:527-536.
View | Files available
 
2013 | Conference Paper | IST-REx-ID: 2948   OA
Tommasi T, Quadrianto N, Caputo B, Lampert C. Beyond dataset bias: Multi-task unaligned shared knowledge transfer. 2013;7724:1-15. doi:10.1007/978-3-642-37331-2_1
View | Files available | DOI
 
2013 | Encyclopedia Article | IST-REx-ID: 3321
Quadrianto N, Lampert C. Kernel based learning. In: Dubitzky W, Wolkenhauer O, Cho K, Yokota H, eds. Encyclopedia of Systems Biology. Vol 3. Springer; 2013:1069-1069. doi:10.1007/978-1-4419-9863-7_604
View | DOI
 
2013 | Conference Paper | IST-REx-ID: 2901   OA
Chen C, Kolmogorov V, Yan Z, Metaxas D, Lampert C. Computing the M most probable modes of a graphical model. In: Vol 31. JMLR; 2013:161-169.
View | Download (ext.)
 
2013 | Conference Paper | IST-REx-ID: 2293   OA
Sharmanska V, Quadrianto N, Lampert C. Learning to rank using privileged information. In: IEEE; 2013:825-832. doi:10.1109/ICCV.2013.107
View | DOI | Download (ext.)
 
2013 | Journal Article | IST-REx-ID: 2516
Lampert C, Nickisch H, Harmeling S. Attribute-based classification for zero-shot learning of object categories. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2013;36(3):453-465. doi:10.1109/TPAMI.2013.140
View | DOI
 
2013 | Conference Paper | IST-REx-ID: 2294   OA
Kazmar T, Kvon E, Stark A, Lampert C. Drosophila Embryo Stage Annotation using Label Propagation. In: IEEE; 2013. doi:10.1109/ICCV.2013.139
View | DOI | Download (ext.)
 
2012 | Conference Paper | IST-REx-ID: 3124
Korc F, Kolmogorov V, Lampert C. Approximating marginals using discrete energy minimization. In: ICML; 2012.
View | Files available
 
2012 | Technical Report | IST-REx-ID: 5396   OA
Korc F, Kolmogorov V, Lampert C. Approximating Marginals Using Discrete Energy Minimization. IST Austria; 2012. doi:10.15479/AT:IST-2012-0003
View | Files available | DOI
 
2012 | Conference Paper | IST-REx-ID: 3125
Sharmanska V, Quadrianto N, Lampert C. Augmented attribute representations. In: Vol 7576. Springer; 2012:242-255. doi:10.1007/978-3-642-33715-4_18
View | DOI
 
2012 | Conference Paper | IST-REx-ID: 2825
Lampert C. Dynamic pruning of factor graphs for maximum marginal prediction. In: Vol 1. Neural Information Processing Systems; 2012:82-90.
View
 
2012 | Conference Paper | IST-REx-ID: 3126
Müller A, Nowozin S, Lampert C. Information theoretic clustering using minimal spanning trees. In: Vol 7476. Springer; 2012:205-215. doi:10.1007/978-3-642-32717-9_21
View | DOI
 
2012 | Journal Article | IST-REx-ID: 3164
Blaschko M, Lampert C. Guest editorial: Special issue on structured prediction and inference. International Journal of Computer Vision. 2012;99(3):257-258. doi:10.1007/s11263-012-0530-y
View | DOI
 
2012 | Conference Paper | IST-REx-ID: 2915
Kroemer O, Lampert C, Peters J. Multi-modal learning for dynamic tactile sensing. In: Deutsches Zentrum für Luft und Raumfahrt; 2012.
View
 
2012 | Conference Paper | IST-REx-ID: 3127   OA
Quadrianto N, Lampert C, Chen C. The most persistent soft-clique in a set of sampled graphs. In: Proceedings of the 29th International Conference on Machine Learning. Omnipress; 2012:211-218.
View | Download (ext.)
 
2012 | Journal Article | IST-REx-ID: 3248   OA
Lampert C, Peters J. Real-time detection of colored objects in multiple camera streams with off-the-shelf hardware components. Journal of Real-Time Image Processing. 2012;7(1):31-41. doi:10.1007/s11554-010-0168-3
View | Files available | DOI
 
2011 | Conference Paper | IST-REx-ID: 3319
Quadrianto N, Lampert C. Learning multi-view neighborhood preserving projections. In: Omnipress; 2011:425-432.
View
 
2011 | Conference Paper | IST-REx-ID: 3163
Lampert C. Maximum margin multi-label structured prediction. In: Neural Information Processing Systems; 2011.
View | Files available
 
2011 | Conference Poster | IST-REx-ID: 3322
Lampert C. Maximum Margin Multi Label Structured Prediction. Neural Information Processing Systems; 2011.
View | Files available
 
2011 | Journal Article | IST-REx-ID: 3389
Blaschko M, Shelton J, Bartels A, Lampert C, Gretton A. Semi supervised kernel canonical correlation analysis with application to human fMRI. Pattern Recognition Letters. 2011;32(11):1572-1583. doi:10.1016/j.patrec.2011.02.011
View | DOI
 
2011 | Technical Report | IST-REx-ID: 5386
Chen C, Freedman D, Lampert C. Enforcing Topological Constraints in Random Field Image Segmentation. IST Austria; 2011. doi:10.15479/AT:IST-2011-0002
View | Files available | DOI
 
2011 | Conference Paper | IST-REx-ID: 3336
Chen C, Freedman D, Lampert C. Enforcing topological constraints in random field image segmentation. In: CVPR: Computer Vision and Pattern Recognition. IEEE; 2011:2089-2096. doi:10.1109/CVPR.2011.5995503
View | Files available | DOI
 
2011 | Journal Article | IST-REx-ID: 3320
Nowozin S, Lampert C. Structured learning and prediction in computer vision. Foundations and Trends in Computer Graphics and Vision. 2011;6(3-4):185-365. doi:10.1561/0600000033
View | DOI
 
2011 | Journal Article | IST-REx-ID: 3382
Kroemer O, Lampert C, Peters J. Learning dynamic tactile sensing with robust vision based training. IEEE Transactions on Robotics. 2011;27(3):545-557. doi:10.1109/TRO.2011.2121130
View | DOI
 
2011 | Conference Paper | IST-REx-ID: 3337
Wang Z, Lampert C, Mülling K, Schölkopf B, Peters J. Learning anticipation policies for robot table tennis. In: IEEE; 2011:332-337. doi:10.1109/IROS.2011.6094892
View | DOI
 
2010 | Conference Paper | IST-REx-ID: 3794
Lampert C, Krömer O. Weakly-paired maximum covariance analysis for multimodal dimensionality reduction and transfer learning. In: Vol 6312. Springer; 2010:566-579. doi:10.1007/978-3-642-15552-9_41
View | DOI | Download (ext.)
 
2010 | Conference Paper | IST-REx-ID: 3793
Nowozin S, Gehler P, Lampert C. On parameter learning in CRF-based approaches to object class image segmentation. In: Vol 6316. Springer; 2010:98-111. doi:10.1007/978-3-642-15567-3_8
View | DOI
 

Search

Filter Publications

Display / Sort

Citation Style: AMA

Export / Embed