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87 Publications

2020 | Conference Paper | IST-REx-ID: 7481 | OA
Bui Thi Mai, Phuong, and Christoph Lampert. Functional vs. Parametric Equivalence of ReLU Networks.
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2020 | Conference Paper | IST-REx-ID: 7936 | OA
Royer, Amélie, and Christoph Lampert. “Localizing Grouped Instances for Efficient Detection in Low-Resource Scenarios.” IEEE Winter Conference on Applications of Computer Vision, IEEE, 2020, pp. 1716–25, doi:10.1109/WACV45572.2020.9093288.
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2020 | Conference Paper | IST-REx-ID: 7937
Royer, Amélie, and Christoph Lampert. “A Flexible Selection Scheme for Minimum-Effort Transfer Learning.” 2020 IEEE Winter Conference on Applications of Computer Vision, IEEE, 2020, pp. 2180–89, doi:10.1109/WACV45572.2020.9093635.
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2020 | Preprint | IST-REx-ID: 8063 | OA
Anciukevicius, Titas, et al. “Object-Centric Image Generation with Factored Depths, Locations, and Appearances.” ArXiv, 2004.00642, ArXiv.
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2020 | Book Chapter | IST-REx-ID: 8092 | OA
Royer, Amélie, et al. “XGAN: Unsupervised Image-to-Image Translation for Many-to-Many Mappings.” Domain Adaptation for Visual Understanding, edited by Richa Singh et al., Springer Nature, 2020, pp. 33–49, doi:10.1007/978-3-030-30671-7_3.
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2020 | Conference Paper | IST-REx-ID: 8186 | OA
Henderson, Paul M., et al. “Leveraging 2D Data to Learn Textured 3D Mesh Generation.” Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVF, 2020, pp. 7498–507.
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2020 | Preprint | IST-REx-ID: 8188 | OA
Henderson, Paul M., and Christoph Lampert. “Unsupervised Object-Centric Video Generation and Decomposition in 3D.” ArXiv:2007.06705, 2007.06705.
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2019 | Conference Paper | IST-REx-ID: 6482 | OA
Sun, Rémy, and Christoph Lampert. KS(Conf): A Light-Weight Test If a ConvNet Operates Outside of Its Specifications. Vol. 11269, Springer Nature, 2019, pp. 244–59, doi:10.1007/978-3-030-12939-2_18.
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2019 | Journal Article | IST-REx-ID: 6554 | OA
Xian, Yongqin, et al. “Zero-Shot Learning - A Comprehensive Evaluation of the Good, the Bad and the Ugly.” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 41, no. 9, Institute of Electrical and Electronics Engineers (IEEE), 2019, pp. 2251–65, doi:10.1109/tpami.2018.2857768.
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2019 | Conference Paper | IST-REx-ID: 6569 | OA
Bui Thi Mai, Phuong, and Christoph Lampert. “Towards Understanding Knowledge Distillation.” Proceedings of the 36th International Conference on Machine Learning, vol. 97, PMLR, 2019, pp. 5142–51.
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2019 | Conference Paper | IST-REx-ID: 6590 | OA
Konstantinov, Nikola H., and Christoph Lampert. “Robust Learning from Untrusted Sources.” Proceedings of the 36th International Conference on Machine Learning, vol. 97, PMLR, 2019, pp. 3488–98.
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2019 | Conference Paper | IST-REx-ID: 6942 | OA
Ashok, Pranav, et al. “Strategy Representation by Decision Trees with Linear Classifiers.” 16th International Conference on Quantitative Evaluation of Systems, vol. 11785, Springer Nature, 2019, pp. 109–28, doi:10.1007/978-3-030-30281-8_7.
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2019 | Journal Article | IST-REx-ID: 6944 | OA
Sun, Rémy, and Christoph Lampert. “KS(Conf): A Light-Weight Test If a Multiclass Classifier Operates Outside of Its Specifications.” International Journal of Computer Vision, Springer Nature, 2019, doi:10.1007/s11263-019-01232-x.
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2019 | Journal Article | IST-REx-ID: 6952 | OA
Henderson, Paul M., and Vittorio Ferrari. “Learning Single-Image 3D Reconstruction by Generative Modelling of Shape, Pose and Shading.” International Journal of Computer Vision, Springer Nature, 2019, doi:10.1007/s11263-019-01219-8.
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2019 | Conference Paper | IST-REx-ID: 7479 | OA
Bui Thi Mai, Phuong, and Christoph Lampert. “Distillation-Based Training for Multi-Exit Architectures.” IEEE International Conference on Computer Vision, vol. 2019–October, IEEE, 2019, pp. 1355–64, doi:10.1109/ICCV.2019.00144.
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2019 | Conference Paper | IST-REx-ID: 7640 | OA
Kolesnikov, Alexander, et al. “Detecting Visual Relationships Using Box Attention.” Proceedings of the 2019 International Conference on Computer Vision Workshop, IEEE, 2019, pp. 1749–53, doi:10.1109/ICCVW.2019.00217.
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2019 | Book (Editor) | IST-REx-ID: 7171
Kersting, Kristian, et al., editors. Wie Maschinen Lernen. Springer Nature, 2019, doi:10.1007/978-3-658-26763-6.
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2018 | Thesis | IST-REx-ID: 197 | OA
Kolesnikov, Alexander. Weakly-Supervised Segmentation and Unsupervised Modeling of Natural Images. IST Austria, 2018, doi:10.15479/AT:ISTA:th_1021.
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2018 | Conference Paper | IST-REx-ID: 6011 | OA
Kuzborskij, Ilja, and Christoph Lampert. “Data-Dependent Stability of Stochastic Gradient Descent.” Proceedings of the 35 Th International Conference on Machine Learning, vol. 80, International Machine Learning Society, 2018, pp. 2815–24.
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2018 | Conference Paper | IST-REx-ID: 6589 | OA
Alistarh, Dan-Adrian, et al. “The Convergence of Sparsified Gradient Methods.” Advances in Neural Information Processing Systems 31, vol. Volume 2018, Neural information processing systems, 2018, pp. 5973–83.
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2018 | Journal Article | IST-REx-ID: 321 | OA
Darrell, Trevor, et al. “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, vol. 40, no. 5, IEEE, 2018, pp. 1029–31, doi:10.1109/TPAMI.2018.2804998.
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2018 | Thesis | IST-REx-ID: 68 | OA
Zimin, Alexander. Learning from Dependent Data. IST Austria, 2018, doi:10.15479/AT:ISTA:TH1048.
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2018 | Conference Paper | IST-REx-ID: 6012 | OA
Sahoo, Subham, et al. “Learning Equations for Extrapolation and Control.” Proceedings of the 35th International Conference on Machine Learning, vol. 80, International Machine Learning Society, 2018, pp. 4442–50.
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2018 | Research Data | IST-REx-ID: 5584 | OA
Deny, Stephane, et al. Nonlinear Decoding of a Complex Movie from the Mammalian Retina. IST Austria, 2018, doi:10.15479/AT:ISTA:98.
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2018 | Journal Article | IST-REx-ID: 563 | OA
Ringbauer, Harald, et al. “Estimating Barriers to Gene Flow from Distorted Isolation-by-Distance Patterns.” Genetics, vol. 208, no. 3, Genetics Society of America, 2018, pp. 1231–45, doi:10.1534/genetics.117.300638.
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2017 | Conference Paper | IST-REx-ID: 652
Der, Ralf, and Georg S. Martius. Dynamical Self Consistency Leads to Behavioral Development and Emergent Social Interactions in Robots. 7846789, IEEE, 2017, doi:10.1109/DEVLRN.2016.7846789.
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2017 | Journal Article | IST-REx-ID: 658 | OA
Der, Ralf, and Georg S. Martius. “Self Organized Behavior Generation for Musculoskeletal Robots.” Frontiers in Neurorobotics, vol. 11, no. MAR, 00008, Frontiers Research Foundation, 2017, doi:10.3389/fnbot.2017.00008.
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2017 | Conference Paper | IST-REx-ID: 6841 | OA
Martius, Georg S., and Christoph Lampert. “Extrapolation and Learning Equations.” 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: 750
Pielorz, Jasmin, et al. “Optimal Geospatial Volunteer Allocation Needs Realistic Distances.” 2017 IEEE International Conference on Big Data, IEEE, 2017, pp. 3760–63, doi:10.1109/BigData.2017.8258375.
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2017 | Conference Paper | IST-REx-ID: 911 | OA
Royer, Amélie, et al. Probabilistic Image Colorization. BMVA Press.
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2017 | Conference Paper | IST-REx-ID: 998 | OA
Rebuffi, Sylvestre Alvise, et al. ICaRL: Incremental Classifier and Representation Learning. Vol. 2017, IEEE, 2017, pp. 5533–42, doi:10.1109/CVPR.2017.587.
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2017 | Conference Paper | IST-REx-ID: 999 | OA
Pentina, Anastasia, and Christoph Lampert. Multi-Task Learning with Labeled and Unlabeled Tasks. Vol. 70, Omnipress, 2017, pp. 2807–16.
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2017 | Conference Paper | IST-REx-ID: 1000 | OA
Kolesnikov, Alexander, and Christoph Lampert. PixelCNN Models with Auxiliary Variables for Natural Image Modeling. Vol. 70, Omnipress, 2017, pp. 1905–14.
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2017 | Conference Paper | IST-REx-ID: 1108 | OA
Zimin, Alexander, and Christoph Lampert. Learning Theory for Conditional Risk Minimization. Vol. 54, JMLR, Inc. and Microtome Publishing, 2017, pp. 213–22.
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2016 | Conference Paper | IST-REx-ID: 1707
Pielorz, Jasmin, and Christoph Lampert. Optimal Geospatial Allocation of Volunteers for Crisis Management. 7402041, IEEE, 2016, doi:10.1109/ICT-DM.2015.7402041.
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2016 | Conference Paper | IST-REx-ID: 8094 | OA
Martius, Georg S., et al. “Self-Organized Control of an Tendon Driven Arm by Differential Extrinsic Plasticity.” Proceedings of the Artificial Life Conference 2016, vol. 28, MIT Press, 2016, pp. 142–43, doi:10.7551/978-0-262-33936-0-ch029.
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2016 | Conference Paper | IST-REx-ID: 1098 | OA
Pentina, Anastasia, and Ruth Urner. Lifelong Learning with Weighted Majority Votes. Vol. 29, Neural Information Processing Systems, 2016, pp. 3619–27.
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2016 | Conference Paper | IST-REx-ID: 1102 | OA
Kolesnikov, Alexander, and Christoph Lampert. “Improving Weakly-Supervised Object Localization by Micro-Annotation.” Proceedings of the British Machine Vision Conference 2016, vol. 2016–September, BMVA Press, 2016, p. 92.1-92.12, doi:10.5244/C.30.92.
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2016 | Thesis | IST-REx-ID: 1126 | OA
Pentina, Anastasia. Theoretical Foundations of Multi-Task Lifelong Learning. IST Austria, 2016, doi:10.15479/AT:ISTA:TH_776.
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2016 | Conference Paper | IST-REx-ID: 1214
Martius, Georg S., et al. Compliant Control for Soft Robots: Emergent Behavior of a Tendon Driven Anthropomorphic Arm. Vol. 2016–November, 7759138, IEEE, 2016, doi:10.1109/IROS.2016.7759138.
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2016 | Conference Paper | IST-REx-ID: 1369 | OA
Kolesnikov, Alexander, and Christoph Lampert. Seed, Expand and Constrain: Three Principles for Weakly-Supervised Image Segmentation. Vol. 9908, Springer, 2016, pp. 695–711, doi:10.1007/978-3-319-46493-0_42.
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2015 | Journal Article | IST-REx-ID: 1655 | OA
Martius, Georg S., and Eckehard Olbrich. “Quantifying Emergent Behavior of Autonomous Robots.” Entropy, vol. 17, no. 10, Multidisciplinary Digital Publishing Institute, 2015, pp. 7266–97, doi:10.3390/e17107266.
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2015 | Conference Paper | IST-REx-ID: 1706 | OA
Pentina, Anastasia, and Shai Ben David. Multi-Task and Lifelong Learning of Kernels. Vol. 9355, Springer, 2015, pp. 194–208, doi:10.1007/978-3-319-24486-0_13.
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2015 | Conference Paper | IST-REx-ID: 1857 | OA
Pentina, Anastasia, et al. Curriculum Learning of Multiple Tasks. IEEE, 2015, pp. 5492–500, doi:10.1109/CVPR.2015.7299188.
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2015 | Conference Paper | IST-REx-ID: 1858 | OA
Lampert, Christoph. Predicting the Future Behavior of a Time-Varying Probability Distribution. IEEE, 2015, pp. 942–50, doi:10.1109/CVPR.2015.7298696.
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2015 | Conference Paper | IST-REx-ID: 1859 | OA
Shah, Neel, et al. A Multi-Plane Block-Coordinate Frank-Wolfe Algorithm for Training Structural SVMs with a Costly Max-Oracle. IEEE, 2015, pp. 2737–45, doi:10.1109/CVPR.2015.7298890.
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2015 | Conference Paper | IST-REx-ID: 1860 | OA
Royer, Amélie, and Christoph Lampert. Classifier Adaptation at Prediction Time. IEEE, 2015, pp. 1401–09, doi:10.1109/CVPR.2015.7298746.
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2015 | Thesis | IST-REx-ID: 1401
Sharmanska, Viktoriia. Learning with Attributes for Object Recognition: Parametric and Non-Parametrics Views. IST Austria, 2015.
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2015 | Conference Paper | IST-REx-ID: 1425 | OA
Pentina, Anastasia, and Christoph Lampert. Lifelong Learning with Non-i.i.d. Tasks. Vol. 2015, Neural Information Processing Systems, 2015, pp. 1540–48.
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2015 | Journal Article | IST-REx-ID: 1533
Xia, Wei, et al. “Segmentation over Detection via Optimal Sparse Reconstructions.” IEEE Transactions on Circuits and Systems for Video Technology, vol. 25, no. 8, IEEE, 2015, pp. 1295–308, doi:10.1109/TCSVT.2014.2379972.
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2015 | Journal Article | IST-REx-ID: 1570 | OA
Der, Ralf, and Georg S. Martius. “Novel Plasticity Rule Can Explain the Development of Sensorimotor Intelligence.” PNAS, vol. 112, no. 45, National Academy of Sciences, 2015, pp. E6224–32, doi:10.1073/pnas.1508400112.
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2014 | Book Chapter | IST-REx-ID: 1829
Muelling, Katharina, et al. “Movement Templates for Learning of Hitting and Batting.” Learning Motor Skills, edited by Jens Kober and Jan Peters, vol. 97, Springer, 2014, pp. 69–82, doi:10.1007/978-3-319-03194-1_3.
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2014 | Conference Paper | IST-REx-ID: 2033 | OA
Hernandez Lobato, Daniel, et al. “Mind the Nuisance: Gaussian Process Classification Using Privileged Noise.” Advances in Neural Information Processing Systems, vol. 1, no. January, Neural Information Processing Systems, 2014, pp. 837–45.
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2014 | Conference Paper | IST-REx-ID: 2057 | OA
Morvant, Emilie, et al. “Majority Vote of Diverse Classifiers for Late Fusion.” Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8621, Springer, 2014, pp. 153–62, doi:10.1007/978-3-662-44415-3_16.
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2014 | Conference Paper | IST-REx-ID: 2160 | OA
Pentina, Anastasia, and Christoph Lampert. A PAC-Bayesian Bound for Lifelong Learning. Edited by Eric Xing and Tony Jebara, vol. 32, Omnipress, 2014, pp. 991–99.
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2014 | Conference Paper | IST-REx-ID: 2171 | OA
Kolesnikov, Alexander, et al. “Closed-Form Approximate CRF Training for Scalable Image Segmentation.” Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), edited by David Fleet et al., vol. 8691, no. PART 3, Springer, 2014, pp. 550–65, doi:10.1007/978-3-319-10578-9_36.
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2014 | Conference Paper | IST-REx-ID: 2172
Sydorov, Vladyslav, et al. “Deep Fisher Kernels – End to End Learning of the Fisher Kernel GMM Parameters.” Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, IEEE, 2014, pp. 1402–09, doi:10.1109/CVPR.2014.182.
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2014 | Conference Paper | IST-REx-ID: 2173 | OA
Khamis, Sameh, and Christoph Lampert. “CoConut: Co-Classification with Output Space Regularization.” Proceedings of the British Machine Vision Conference 2014, BMVA Press, 2014.
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2014 | Journal Article | IST-REx-ID: 2180 | OA
Bellet, Aurélien, et al. “Learning a Priori Constrained Weighted Majority Votes.” Machine Learning, vol. 97, no. 1–2, Springer, 2014, pp. 129–54, doi:10.1007/s10994-014-5462-z.
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2014 | Conference Paper | IST-REx-ID: 2189 | OA
Morvant, Emilie. Adaptation de Domaine de Vote de Majorité Par Auto-Étiquetage Non Itératif. Vol. 1, Elsevier, 2014, pp. 49–58.
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2013 | Conference Paper | IST-REx-ID: 2293 | OA
Sharmanska, Viktoriia, et al. Learning to Rank Using Privileged Information. IEEE, 2013, pp. 825–32, doi:10.1109/ICCV.2013.107.
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2013 | Conference Paper | IST-REx-ID: 2294 | OA
Kazmar, Tomas, et al. Drosophila Embryo Stage Annotation Using Label Propagation. IEEE, 2013, doi:10.1109/ICCV.2013.139.
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2013 | Journal Article | IST-REx-ID: 2516
Lampert, Christoph, et al. “Attribute-Based Classification for Zero-Shot Learning of Object Categories.” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 36, no. 3, IEEE, 2013, pp. 453–65, doi:10.1109/TPAMI.2013.140.
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2013 | Conference Paper | IST-REx-ID: 2520 | OA
Quadrianto, Novi, et al. “The Supervised IBP: Neighbourhood Preserving Infinite Latent Feature Models.” Proceedings of the 29th Conference Uncertainty in Artificial Intelligence, AUAI Press, 2013, pp. 527–36.
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2013 | Conference Paper | IST-REx-ID: 2901 | OA
Chen, Chao, et al. Computing the M Most Probable Modes of a Graphical Model. Vol. 31, JMLR, 2013, pp. 161–69.
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2013 | Conference Paper | IST-REx-ID: 2948 | OA
Tommasi, Tatiana, et al. Beyond Dataset Bias: Multi-Task Unaligned Shared Knowledge Transfer. Vol. 7724, Springer, 2013, pp. 1–15, doi:10.1007/978-3-642-37331-2_1.
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2013 | Encyclopedia Article | IST-REx-ID: 3321
Quadrianto, Novi, and Christoph Lampert. “Kernel Based Learning.” Encyclopedia of Systems Biology, edited by Werner Dubitzky et al., vol. 3, Springer, 2013, pp. 1069–1069, doi:10.1007/978-1-4419-9863-7_604.
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2012 | Conference Paper | IST-REx-ID: 2825
Lampert, Christoph. Dynamic Pruning of Factor Graphs for Maximum Marginal Prediction. Vol. 1, Neural Information Processing Systems, 2012, pp. 82–90.
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2012 | Technical Report | IST-REx-ID: 5396 | OA
Korc, Filip, et al. Approximating Marginals Using Discrete Energy Minimization. IST Austria, 2012, doi:10.15479/AT:IST-2012-0003.
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2012 | Conference Paper | IST-REx-ID: 2915
Kroemer, Oliver, et al. Multi-Modal Learning for Dynamic Tactile Sensing. Deutsches Zentrum für Luft und Raumfahrt, 2012.
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2012 | Conference Paper | IST-REx-ID: 3124 | OA
Korc, Filip, et al. Approximating Marginals Using Discrete Energy Minimization. ICML, 2012.
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2012 | Conference Paper | IST-REx-ID: 3125 | OA
Sharmanska, Viktoriia, et al. Augmented Attribute Representations. Vol. 7576, no. PART 5, Springer, 2012, pp. 242–55, doi:10.1007/978-3-642-33715-4_18.
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2012 | Conference Paper | IST-REx-ID: 3126
Müller, Andreas, et al. Information Theoretic Clustering Using Minimal Spanning Trees. Vol. 7476, Springer, 2012, pp. 205–15, doi:10.1007/978-3-642-32717-9_21.
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2012 | Conference Paper | IST-REx-ID: 3127 | OA
Quadrianto, Novi, et al. “The Most Persistent Soft-Clique in a Set of Sampled Graphs.” Proceedings of the 29th International Conference on Machine Learning, Omnipress, 2012, pp. 211–18.
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2012 | Journal Article | IST-REx-ID: 3164
Blaschko, Matthew, and Christoph Lampert. “Guest Editorial: Special Issue on Structured Prediction and Inference.” International Journal of Computer Vision, vol. 99, no. 3, Springer, 2012, pp. 257–58, doi:10.1007/s11263-012-0530-y.
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2012 | Journal Article | IST-REx-ID: 3248 | OA
Lampert, Christoph, and Jan Peters. “Real-Time Detection of Colored Objects in Multiple Camera Streams with off-the-Shelf Hardware Components.” Journal of Real-Time Image Processing, vol. 7, no. 1, Springer, 2012, pp. 31–41, doi:10.1007/s11554-010-0168-3.
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2011 | Technical Report | IST-REx-ID: 5386 | OA
Chen, Chao, et al. Enforcing Topological Constraints in Random Field Image Segmentation. IST Austria, 2011, doi:10.15479/AT:IST-2011-0002.
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2011 | Conference Paper | IST-REx-ID: 3163
Lampert, Christoph. Maximum Margin Multi-Label Structured Prediction. Neural Information Processing Systems, 2011.
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2011 | Conference Paper | IST-REx-ID: 3319
Quadrianto, Novi, and Christoph Lampert. Learning Multi-View Neighborhood Preserving Projections. Omnipress, 2011, pp. 425–32.
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2011 | Journal Article | IST-REx-ID: 3320 | OA
Nowozin, Sebastian, and Christoph Lampert. “Structured Learning and Prediction in Computer Vision.” Foundations and Trends in Computer Graphics and Vision, vol. 6, no. 3–4, now, 2011, pp. 185–365, doi:10.1561/0600000033.
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2011 | Conference Poster | IST-REx-ID: 3322
Lampert, Christoph. “Maximum Margin Multi Label Structured Prediction.” NIPS: Neural Information Processing Systems, Neural Information Processing Systems, 2011.
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2011 | Conference Paper | IST-REx-ID: 3336
Chen, Chao, et al. “Enforcing Topological Constraints in Random Field Image Segmentation.” CVPR: Computer Vision and Pattern Recognition, IEEE, 2011, pp. 2089–96, doi:10.1109/CVPR.2011.5995503.
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2011 | Conference Paper | IST-REx-ID: 3337
Wang, Zhikun, et al. Learning Anticipation Policies for Robot Table Tennis. IEEE, 2011, pp. 332–37, doi:10.1109/IROS.2011.6094892.
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2011 | Journal Article | IST-REx-ID: 3382
Kroemer, Oliver, et al. “Learning Dynamic Tactile Sensing with Robust Vision Based Training.” IEEE Transactions on Robotics, vol. 27, no. 3, IEEE, 2011, pp. 545–57, doi:10.1109/TRO.2011.2121130.
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2011 | Journal Article | IST-REx-ID: 3389
Blaschko, Matthew, et al. “Semi Supervised Kernel Canonical Correlation Analysis with Application to Human FMRI.” Pattern Recognition Letters, vol. 32, no. 11, Elsevier, 2011, pp. 1572–83, doi:10.1016/j.patrec.2011.02.011.
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2010 | Conference Paper | IST-REx-ID: 3793 | OA
Nowozin, Sebastian, et al. On Parameter Learning in CRF-Based Approaches to Object Class Image Segmentation. Vol. 6316, Springer, 2010, pp. 98–111, doi:10.1007/978-3-642-15567-3_8.
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2010 | Conference Paper | IST-REx-ID: 3794
Lampert, Christoph, and Oliver Krömer. Weakly-Paired Maximum Covariance Analysis for Multimodal Dimensionality Reduction and Transfer Learning. Vol. 6312, Springer, 2010, pp. 566–79, doi:10.1007/978-3-642-15552-9_41.
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