Konstantinov, Nikola H, and Christoph Lampert. “Fairness-Aware PAC Learning from Corrupted Data.” Journal of Machine Learning Research. ML Research Press, 2022.
LibreCat: https://research-explorer.ista.ac.at/record/10802
arXiv: 2102.06004

Konstantinov, Nikola H, and Christoph Lampert. “On the Impossibility of Fairness-Aware Learning from Corrupted Data.” In Proceedings of Machine Learning Research, 171:59–83. ML Research Press, 2022.
LibreCat: https://research-explorer.ista.ac.at/record/13241
arXiv: 2102.06004

Konstantinov, Nikola H. “Robustness and Fairness in Machine Learning.”https://doi.org/10.15479/at:ista:10799__Institute of Science and Technology Austria, 2022.https://doi.org/10.15479/at:ista:10799 .
LibreCat: https://research-explorer.ista.ac.at/record/10799
DOI: 10.15479/at:ista:10799

Volhejn, Vaclav, and Christoph Lampert. “Does SGD Implicitly Optimize for Smoothness?”https://doi.org/10.1007/978-3-030-71278-5_18__In 42nd German Conference on Pattern Recognition, 12544:246–59. LNCS. Springer, 2021.https://doi.org/10.1007/978-3-030-71278-5_18 .
LibreCat: https://research-explorer.ista.ac.at/record/9210
DOI: 10.1007/978-3-030-71278-5_18

Phuong, Mary, and Christoph Lampert. “The Inductive Bias of ReLU Networks on Orthogonally Separable Data.” In 9th International Conference on Learning Representations, 2021.
LibreCat: https://research-explorer.ista.ac.at/record/9416

Konstantinov, Nikola H, and Christoph Lampert. “Fairness through Regularization for Learning to Rank.”https://doi.org/10.48550/arXiv.2102.05996__ArXiv, n.d.https://doi.org/10.48550/arXiv.2102.05996 .
LibreCat: https://research-explorer.ista.ac.at/record/10803
DOI: 10.48550/arXiv.2102.05996
arXiv: 2102.05996

Phuong, Mary. “Underspecification in Deep Learning.”https://doi.org/10.15479/AT:ISTA:9418__Institute of Science and Technology Austria, 2021.https://doi.org/10.15479/AT:ISTA:9418 .
LibreCat: https://research-explorer.ista.ac.at/record/9418
DOI: 10.15479/AT:ISTA:9418

Lampert, Christoph. “Zero-Shot Learning.”https://doi.org/10.1007/978-3-030-63416-2_874__In Computer Vision, edited by Katsushi Ikeuchi, 2nd ed., 1395–97. Cham: Springer, 2021.https://doi.org/10.1007/978-3-030-63416-2_874 .
LibreCat: https://research-explorer.ista.ac.at/record/14987
DOI: 10.1007/978-3-030-63416-2_874

Anciukevicius, Titas, Christoph Lampert, and Paul M Henderson. “Object-Centric Image Generation with Factored Depths, Locations, and Appearances.” ArXiv, n.d.
LibreCat: https://research-explorer.ista.ac.at/record/8063
arXiv: 2004.00642

Henderson, Paul M, and Christoph Lampert. “Unsupervised Object-Centric Video Generation and Decomposition in 3D.” In 34th Conference on Neural Information Processing Systems, 33:3106–3117. Curran Associates, 2020.
LibreCat: https://research-explorer.ista.ac.at/record/8188
arXiv: 2007.06705

Henderson, Paul M, and Vittorio Ferrari. “Learning Single-Image 3D Reconstruction by Generative Modelling of Shape, Pose and Shading.”https://doi.org/10.1007/s11263-019-01219-8__International Journal of Computer Vision. Springer Nature, 2020.https://doi.org/10.1007/s11263-019-01219-8 .
LibreCat: https://research-explorer.ista.ac.at/record/6952
DOI: 10.1007/s11263-019-01219-8
WoS: 000491042100002
arXiv: 1901.06447

Royer, Amélie, and Christoph Lampert. “Localizing Grouped Instances for Efficient Detection in Low-Resource Scenarios.”https://doi.org/10.1109/WACV45572.2020.9093288__In IEEE Winter Conference on Applications of Computer Vision. IEEE, 2020.https://doi.org/10.1109/WACV45572.2020.9093288 .
LibreCat: https://research-explorer.ista.ac.at/record/7936
DOI: 10.1109/WACV45572.2020.9093288
arXiv: 2004.12623

Royer, Amélie, and Christoph Lampert. “A Flexible Selection Scheme for Minimum-Effort Transfer Learning.”https://doi.org/10.1109/WACV45572.2020.9093635__In 2020 IEEE Winter Conference on Applications of Computer Vision. IEEE, 2020.https://doi.org/10.1109/WACV45572.2020.9093635 .
LibreCat: https://research-explorer.ista.ac.at/record/7937
DOI: 10.1109/WACV45572.2020.9093635
arXiv: 2008.11995

Royer, Amélie, Konstantinos Bousmalis, Stephan Gouws, Fred Bertsch, Inbar Mosseri, Forrester Cole, and Kevin Murphy. “XGAN: Unsupervised Image-to-Image Translation for Many-to-Many Mappings.”https://doi.org/10.1007/978-3-030-30671-7_3__In Domain Adaptation for Visual Understanding, edited by Richa Singh, Mayank Vatsa, Vishal M. Patel, and Nalini Ratha, 33–49. Springer Nature, 2020.https://doi.org/10.1007/978-3-030-30671-7_3 .
LibreCat: https://research-explorer.ista.ac.at/record/8092
DOI: 10.1007/978-3-030-30671-7_3
arXiv: 1711.05139

Phuong, Mary, and Christoph Lampert. “Functional vs. Parametric Equivalence of ReLU Networks.” In 8th International Conference on Learning Representations, 2020.
LibreCat: https://research-explorer.ista.ac.at/record/7481

Konstantinov, Nikola H, Elias Frantar, Dan-Adrian Alistarh, and Christoph Lampert. “On the Sample Complexity of Adversarial Multi-Source PAC Learning.” In Proceedings of the 37th International Conference on Machine Learning, 119:5416–25. ML Research Press, 2020.
LibreCat: https://research-explorer.ista.ac.at/record/8724
arXiv: 2002.10384

Royer, Amélie. “Leveraging Structure in Computer Vision Tasks for Flexible Deep Learning Models.”https://doi.org/10.15479/AT:ISTA:8390__Institute of Science and Technology Austria, 2020.https://doi.org/10.15479/AT:ISTA:8390 .
LibreCat: https://research-explorer.ista.ac.at/record/8390
DOI: 10.15479/AT:ISTA:8390

Henderson, Paul M, Vagia Tsiminaki, and Christoph Lampert. “Leveraging 2D Data to Learn Textured 3D Mesh Generation.”https://doi.org/10.1109/CVPR42600.2020.00752__In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 7498–7507. IEEE, 2020.https://doi.org/10.1109/CVPR42600.2020.00752 .
LibreCat: https://research-explorer.ista.ac.at/record/8186
DOI: 10.1109/CVPR42600.2020.00752
arXiv: 2004.04180

Sun, Rémy, and Christoph Lampert. “KS(Conf): A Light-Weight Test If a Multiclass Classifier Operates Outside of Its Specifications.”https://doi.org/10.1007/s11263-019-01232-x__International Journal of Computer Vision. Springer Nature, 2020.https://doi.org/10.1007/s11263-019-01232-x .
LibreCat: https://research-explorer.ista.ac.at/record/6944
DOI: 10.1007/s11263-019-01232-x
WoS: 000494406800001

Kersting, Kristian, Christoph Lampert, and Constantin Rothkopf, eds. Wie Maschinen Lernen: Künstliche Intelligenz Verständlich Erklärt. 1st ed. Wiesbaden: Springer Nature, 2019.https://doi.org/10.1007/978-3-658-26763-6 .
LibreCat: https://research-explorer.ista.ac.at/record/7171
DOI: 10.1007/978-3-658-26763-6

Ashok, Pranav, Tomás Brázdil, Krishnendu Chatterjee, Jan Ketínský, Christoph Lampert, and Viktor Toman. “Strategy Representation by Decision Trees with Linear Classifiers.”https://doi.org/10.1007/978-3-030-30281-8_7__In 16th International Conference on Quantitative Evaluation of Systems, 11785:109–28. Springer Nature, 2019.https://doi.org/10.1007/978-3-030-30281-8_7 .
LibreCat: https://research-explorer.ista.ac.at/record/6942
DOI: 10.1007/978-3-030-30281-8_7
WoS: 000679281300007
arXiv: 1906.08178

Xian, Yongqin, Christoph Lampert, Bernt Schiele, and Zeynep Akata. “Zero-Shot Learning - A Comprehensive Evaluation of the Good, the Bad and the Ugly.”https://doi.org/10.1109/tpami.2018.2857768__IEEE Transactions on Pattern Analysis and Machine Intelligence. Institute of Electrical and Electronics Engineers (IEEE), 2019.https://doi.org/10.1109/tpami.2018.2857768 .
LibreCat: https://research-explorer.ista.ac.at/record/6554
DOI: 10.1109/tpami.2018.2857768
WoS: 000480343900015
arXiv: 1707.00600

Phuong, Mary, and Christoph Lampert. “Distillation-Based Training for Multi-Exit Architectures.”https://doi.org/10.1109/ICCV.2019.00144__In IEEE International Conference on Computer Vision, 2019–October:1355–64. IEEE, 2019.https://doi.org/10.1109/ICCV.2019.00144 .
LibreCat: https://research-explorer.ista.ac.at/record/7479
DOI: 10.1109/ICCV.2019.00144
WoS: 000531438101047

Kolesnikov, Alexander, Alina Kuznetsova, Christoph Lampert, and Vittorio Ferrari. “Detecting Visual Relationships Using Box Attention.”https://doi.org/10.1109/ICCVW.2019.00217__In Proceedings of the 2019 International Conference on Computer Vision Workshop. IEEE, 2019.https://doi.org/10.1109/ICCVW.2019.00217 .
LibreCat: https://research-explorer.ista.ac.at/record/7640
DOI: 10.1109/ICCVW.2019.00217
WoS: 000554591601098
arXiv: 1807.02136

Phuong, Mary, and Christoph Lampert. “Towards Understanding Knowledge Distillation.” In Proceedings of the 36th International Conference on Machine Learning, 97:5142–51. ML Research Press, 2019.
LibreCat: https://research-explorer.ista.ac.at/record/6569

Konstantinov, Nikola H, and Christoph Lampert. “Robust Learning from Untrusted Sources.” In Proceedings of the 36th International Conference on Machine Learning, 97:3488–98. ML Research Press, 2019.
LibreCat: https://research-explorer.ista.ac.at/record/6590
arXiv: 1901.10310

Sun, Rémy, and Christoph Lampert. “KS(Conf): A Light-Weight Test If a ConvNet Operates Outside of Its Specifications,”https://doi.org/10.1007/978-3-030-12939-2_18__11269:244–59. Springer Nature, 2019.https://doi.org/10.1007/978-3-030-12939-2_18 .
LibreCat: https://research-explorer.ista.ac.at/record/6482
DOI: 10.1007/978-3-030-12939-2_18
arXiv: 1804.04171

Zimin, Alexander. “Learning from Dependent Data.”https://doi.org/10.15479/AT:ISTA:TH1048__Institute of Science and Technology Austria, 2018.https://doi.org/10.15479/AT:ISTA:TH1048 .
LibreCat: https://research-explorer.ista.ac.at/record/68
DOI: 10.15479/AT:ISTA:TH1048

Kolesnikov, Alexander. “Weakly-Supervised Segmentation and Unsupervised Modeling of Natural Images.”https://doi.org/10.15479/AT:ISTA:th_1021__Institute of Science and Technology Austria, 2018.https://doi.org/10.15479/AT:ISTA:th_1021 .
LibreCat: https://research-explorer.ista.ac.at/record/197
DOI: 10.15479/AT:ISTA:th_1021

Ringbauer, Harald, Alexander Kolesnikov, David Field, and Nicholas H Barton. “Estimating Barriers to Gene Flow from Distorted Isolation-by-Distance Patterns.”https://doi.org/10.1534/genetics.117.300638__Genetics. Genetics Society of America, 2018.https://doi.org/10.1534/genetics.117.300638 .
LibreCat: https://research-explorer.ista.ac.at/record/563
DOI: 10.1534/genetics.117.300638
WoS: 000426219600025

Darrell, Trevor, Christoph Lampert, Nico Sebe, Ying Wu, and Yan Yan. “Guest Editors’ Introduction to the Special Section on Learning with Shared Information for Computer Vision and Multimedia Analysis.”https://doi.org/10.1109/TPAMI.2018.2804998__IEEE Transactions on Pattern Analysis and Machine Intelligence. IEEE, 2018.https://doi.org/10.1109/TPAMI.2018.2804998 .
LibreCat: https://research-explorer.ista.ac.at/record/321
DOI: 10.1109/TPAMI.2018.2804998
WoS: 000428901200001

Uijlings, Jasper, Ksenia Konyushkova, Christoph Lampert, and Vittorio Ferrari. “Learning Intelligent Dialogs for Bounding Box Annotation.”https://doi.org/10.1109/cvpr.2018.00956__In 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 9175–84. IEEE, 2018.https://doi.org/10.1109/cvpr.2018.00956 .
LibreCat: https://research-explorer.ista.ac.at/record/10882
DOI: 10.1109/cvpr.2018.00956
WoS: 000457843609036
arXiv: 1712.08087

Sahoo, Subham, Christoph Lampert, and Georg S Martius. “Learning Equations for Extrapolation and Control.” In Proceedings of the 35th International Conference on Machine Learning, 80:4442–50. ML Research Press, 2018.
LibreCat: https://research-explorer.ista.ac.at/record/6012
WoS: 000683379204058
arXiv: 1806.07259

Kuzborskij, Ilja, and Christoph Lampert. “Data-Dependent Stability of Stochastic Gradient Descent.” In Proceedings of the 35 Th International Conference on Machine Learning, 80:2815–24. ML Research Press, 2018.
LibreCat: https://research-explorer.ista.ac.at/record/6011
WoS: 000683379202095
arXiv: 1703.01678

Alistarh, Dan-Adrian, Torsten Hoefler, Mikael Johansson, Nikola H Konstantinov, Sarit Khirirat, and Cedric Renggli. “The Convergence of Sparsified Gradient Methods.” In Advances in Neural Information Processing Systems 31, Volume 2018:5973–83. Neural Information Processing Systems Foundation, 2018.
LibreCat: https://research-explorer.ista.ac.at/record/6589
WoS: 000461852000047
arXiv: 1809.10505

Deny, Stephane, Olivier Marre, Vicente Botella-Soler, Georg S Martius, and Gasper Tkadik. “Nonlinear Decoding of a Complex Movie from the Mammalian Retina.”https://doi.org/10.15479/AT:ISTA:98__Institute of Science and Technology Austria, 2018.https://doi.org/10.15479/AT:ISTA:98 .
LibreCat: https://research-explorer.ista.ac.at/record/5584
DOI: 10.15479/AT:ISTA:98

Der, Ralf, and Georg S Martius. “Dynamical Self Consistency Leads to Behavioral Development and Emergent Social Interactions in Robots.”https://doi.org/10.1109/DEVLRN.2016.7846789__IEEE, 2017.https://doi.org/10.1109/DEVLRN.2016.7846789 .
LibreCat: https://research-explorer.ista.ac.at/record/652
DOI: 10.1109/DEVLRN.2016.7846789

Der, Ralf, and Georg S Martius. “Self Organized Behavior Generation for Musculoskeletal Robots.”https://doi.org/10.3389/fnbot.2017.00008__Frontiers in Neurorobotics. Frontiers Research Foundation, 2017.https://doi.org/10.3389/fnbot.2017.00008 .
LibreCat: https://research-explorer.ista.ac.at/record/658
DOI: 10.3389/fnbot.2017.00008

Martius, Georg S, and Christoph Lampert. “Extrapolation and Learning Equations.” In 5th International Conference on Learning Representations, ICLR 2017 - Workshop Track Proceedings. International Conference on Learning Representations, 2017.
LibreCat: https://research-explorer.ista.ac.at/record/6841
arXiv: 1610.02995

Pielorz, Jasmin, Matthias Prandtstetter, Markus Straub, and Christoph Lampert. “Optimal Geospatial Volunteer Allocation Needs Realistic Distances.”https://doi.org/10.1109/BigData.2017.8258375__In 2017 IEEE International Conference on Big Data, 3760–63. IEEE, 2017.https://doi.org/10.1109/BigData.2017.8258375 .
LibreCat: https://research-explorer.ista.ac.at/record/750
DOI: 10.1109/BigData.2017.8258375

Kolesnikov, Alexander, and Christoph Lampert. “PixelCNN Models with Auxiliary Variables for Natural Image Modeling.” In 34th International Conference on Machine Learning, 70:1905–14. JMLR, 2017.
LibreCat: https://research-explorer.ista.ac.at/record/1000
WoS: 000683309501102
arXiv: 1612.08185

Rebuffi, Sylvestre Alvise, Alexander Kolesnikov, Georg Sperl, and Christoph Lampert. “ICaRL: Incremental Classifier and Representation Learning,”https://doi.org/10.1109/CVPR.2017.587__2017:5533–42. IEEE, 2017.https://doi.org/10.1109/CVPR.2017.587 .
LibreCat: https://research-explorer.ista.ac.at/record/998
DOI: 10.1109/CVPR.2017.587
WoS: 000418371405066

Royer, Amélie, Alexander Kolesnikov, and Christoph Lampert. “Probabilistic Image Colorization,”https://doi.org/10.5244/c.31.85__85.1-85.12. BMVA Press, 2017.https://doi.org/10.5244/c.31.85 .
LibreCat: https://research-explorer.ista.ac.at/record/911
DOI: 10.5244/c.31.85
arXiv: 1705.04258

Zimin, Alexander, and Christoph Lampert. “Learning Theory for Conditional Risk Minimization,” 54:213–22. ML Research Press, 2017.
LibreCat: https://research-explorer.ista.ac.at/record/1108
WoS: 000509368500024

Pentina, Anastasia, and Christoph Lampert. “Multi-Task Learning with Labeled and Unlabeled Tasks,” 70:2807–16. ML Research Press, 2017.
LibreCat: https://research-explorer.ista.ac.at/record/999
WoS: 000683309502093

Pentina, Anastasia, and Ruth Urner. “Lifelong Learning with Weighted Majority Votes,” 29:3619–27. Neural Information Processing Systems, 2016.
LibreCat: https://research-explorer.ista.ac.at/record/1098

Kolesnikov, Alexander, and Christoph Lampert. “Improving Weakly-Supervised Object Localization by Micro-Annotation.”https://doi.org/10.5244/C.30.92__In Proceedings of the British Machine Vision Conference 2016, 2016–September:92.1-92.12. BMVA Press, 2016.https://doi.org/10.5244/C.30.92 .
LibreCat: https://research-explorer.ista.ac.at/record/1102
DOI: 10.5244/C.30.92

Martius, Georg S, Raphael Hostettler, Alois Knoll, and Ralf Der. “Compliant Control for Soft Robots: Emergent Behavior of a Tendon Driven Anthropomorphic Arm,”https://doi.org/10.1109/IROS.2016.7759138__Vol. 2016–November. IEEE, 2016.https://doi.org/10.1109/IROS.2016.7759138 .
LibreCat: https://research-explorer.ista.ac.at/record/1214
DOI: 10.1109/IROS.2016.7759138

Kolesnikov, Alexander, and Christoph Lampert. “Seed, Expand and Constrain: Three Principles for Weakly-Supervised Image Segmentation,”https://doi.org/10.1007/978-3-319-46493-0_42__9908:695–711. Springer, 2016.https://doi.org/10.1007/978-3-319-46493-0_42 .
LibreCat: https://research-explorer.ista.ac.at/record/1369
DOI: 10.1007/978-3-319-46493-0_42

Pielorz, Jasmin, and Christoph Lampert. “Optimal Geospatial Allocation of Volunteers for Crisis Management.”https://doi.org/10.1109/ICT-DM.2015.7402041__IEEE, 2016.https://doi.org/10.1109/ICT-DM.2015.7402041 .
LibreCat: https://research-explorer.ista.ac.at/record/1707
DOI: 10.1109/ICT-DM.2015.7402041

Martius, Georg S, Rafael Hostettler, Alois Knoll, and Ralf Der. “Self-Organized Control of an Tendon Driven Arm by Differential Extrinsic Plasticity.”https://doi.org/10.7551/978-0-262-33936-0-ch029__In Proceedings of the Artificial Life Conference 2016, 28:142–43. MIT Press, 2016.https://doi.org/10.7551/978-0-262-33936-0-ch029 .
LibreCat: https://research-explorer.ista.ac.at/record/8094
DOI: 10.7551/978-0-262-33936-0-ch029

Pentina, Anastasia. “Theoretical Foundations of Multi-Task Lifelong Learning.”https://doi.org/10.15479/AT:ISTA:TH_776__Institute of Science and Technology Austria, 2016.https://doi.org/10.15479/AT:ISTA:TH_776 .
LibreCat: https://research-explorer.ista.ac.at/record/1126
DOI: 10.15479/AT:ISTA:TH_776

Pentina, Anastasia, and Christoph Lampert. “Lifelong Learning with Non-i.i.d. Tasks,” 2015:1540–48. Neural Information Processing Systems, 2015.
LibreCat: https://research-explorer.ista.ac.at/record/1425

Xia, Wei, Csaba Domokos, Junjun Xiong, Loongfah Cheong, and Shuicheng Yan. “Segmentation over Detection via Optimal Sparse Reconstructions.”https://doi.org/10.1109/TCSVT.2014.2379972__IEEE Transactions on Circuits and Systems for Video Technology. IEEE, 2015.https://doi.org/10.1109/TCSVT.2014.2379972 .
LibreCat: https://research-explorer.ista.ac.at/record/1533
DOI: 10.1109/TCSVT.2014.2379972

Der, Ralf, and Georg S Martius. “Novel Plasticity Rule Can Explain the Development of Sensorimotor Intelligence.”https://doi.org/10.1073/pnas.1508400112__PNAS. National Academy of Sciences, 2015.https://doi.org/10.1073/pnas.1508400112 .
LibreCat: https://research-explorer.ista.ac.at/record/1570
DOI: 10.1073/pnas.1508400112
PMID: 26504200

Pentina, Anastasia, and Shai Ben David. “Multi-Task and Lifelong Learning of Kernels,”https://doi.org/10.1007/978-3-319-24486-0_13__9355:194–208. Springer, 2015.https://doi.org/10.1007/978-3-319-24486-0_13 .
LibreCat: https://research-explorer.ista.ac.at/record/1706
DOI: 10.1007/978-3-319-24486-0_13

Shah, Neel, Vladimir Kolmogorov, and Christoph Lampert. “A Multi-Plane Block-Coordinate Frank-Wolfe Algorithm for Training Structural SVMs with a Costly Max-Oracle,”https://doi.org/10.1109/CVPR.2015.7298890__2737–45. IEEE, 2015.https://doi.org/10.1109/CVPR.2015.7298890 .
LibreCat: https://research-explorer.ista.ac.at/record/1859
DOI: 10.1109/CVPR.2015.7298890

Royer, Amélie, and Christoph Lampert. “Classifier Adaptation at Prediction Time,”https://doi.org/10.1109/CVPR.2015.7298746__1401–9. IEEE, 2015.https://doi.org/10.1109/CVPR.2015.7298746 .
LibreCat: https://research-explorer.ista.ac.at/record/1860
DOI: 10.1109/CVPR.2015.7298746

Lampert, Christoph. “Predicting the Future Behavior of a Time-Varying Probability Distribution,”https://doi.org/10.1109/CVPR.2015.7298696__942–50. IEEE, 2015.https://doi.org/10.1109/CVPR.2015.7298696 .
LibreCat: https://research-explorer.ista.ac.at/record/1858
DOI: 10.1109/CVPR.2015.7298696
arXiv: 1406.5362

Pentina, Anastasia, Viktoriia Sharmanska, and Christoph Lampert. “Curriculum Learning of Multiple Tasks,”https://doi.org/10.1109/CVPR.2015.7299188__5492–5500. IEEE, 2015.https://doi.org/10.1109/CVPR.2015.7299188 .
LibreCat: https://research-explorer.ista.ac.at/record/1857
DOI: 10.1109/CVPR.2015.7299188

Martius, Georg S, and Eckehard Olbrich. “Quantifying Self-Organizing Behavior of Autonomous Robots.”https://doi.org/10.7551/978-0-262-33027-5-ch018__In Proceedings of the 13th European Conference on Artificial Life, 78. MIT Press, 2015.https://doi.org/10.7551/978-0-262-33027-5-ch018 .
LibreCat: https://research-explorer.ista.ac.at/record/12881
DOI: 10.7551/978-0-262-33027-5-ch018

Sharmanska, Viktoriia. “Learning with Attributes for Object Recognition: Parametric and Non-Parametrics Views.”https://doi.org/10.15479/at:ista:1401__Institute of Science and Technology Austria, 2015.https://doi.org/10.15479/at:ista:1401 .
LibreCat: https://research-explorer.ista.ac.at/record/1401
DOI: 10.15479/at:ista:1401

Martius, Georg S, and Eckehard Olbrich. “Quantifying Emergent Behavior of Autonomous Robots.”https://doi.org/10.3390/e17107266__Entropy. MDPI, 2015.https://doi.org/10.3390/e17107266 .
LibreCat: https://research-explorer.ista.ac.at/record/1655
DOI: 10.3390/e17107266

Muelling, Katharina, Oliver Kroemer, Christoph Lampert, and Bernhard Schölkopf. “Movement Templates for Learning of Hitting and Batting.”https://doi.org/10.1007/978-3-319-03194-1_3__In Learning Motor Skills, edited by Jens Kober and Jan Peters, 97:69–82. From Algorithms to Robot Experiments. Springer, 2014.https://doi.org/10.1007/978-3-319-03194-1_3 .
LibreCat: https://research-explorer.ista.ac.at/record/1829
DOI: 10.1007/978-3-319-03194-1_3

Hernandez Lobato, Daniel, Viktoriia Sharmanska, Kristian Kersting, Christoph Lampert, and Novi Quadrianto. “Mind the Nuisance: Gaussian Process Classification Using Privileged Noise.” In Advances in Neural Information Processing Systems, 1:837–45. Neural Information Processing Systems, 2014.
LibreCat: https://research-explorer.ista.ac.at/record/2033

Morvant, Emilie, Amaury Habrard, and Stéphane Ayache. “Majority Vote of Diverse Classifiers for Late Fusion.”https://doi.org/10.1007/978-3-662-44415-3_16__In Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8621:153–62. Springer, 2014.https://doi.org/10.1007/978-3-662-44415-3_16 .
LibreCat: https://research-explorer.ista.ac.at/record/2057
DOI: 10.1007/978-3-662-44415-3_16
arXiv: 1404.7796

Kolesnikov, Alexander, Matthieu Guillaumin, Vittorio Ferrari, and Christoph Lampert. “Closed-Form Approximate CRF Training for Scalable Image Segmentation.”https://doi.org/10.1007/978-3-319-10578-9_36__In Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), edited by David Fleet, Tomas Pajdla, Bernt Schiele, and Tinne Tuytelaars, 8691:550–65. Springer, 2014.https://doi.org/10.1007/978-3-319-10578-9_36 .
LibreCat: https://research-explorer.ista.ac.at/record/2171
DOI: 10.1007/978-3-319-10578-9_36

Khamis, Sameh, and Christoph Lampert. “CoConut: Co-Classification with Output Space Regularization.” In Proceedings of the British Machine Vision Conference 2014. BMVA Press, 2014.
LibreCat: https://research-explorer.ista.ac.at/record/2173

Sydorov, Vladyslav, Mayu Sakurada, and Christoph Lampert. “Deep Fisher Kernels – End to End Learning of the Fisher Kernel GMM Parameters.”https://doi.org/10.1109/CVPR.2014.182__In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1402–9. IEEE, 2014.https://doi.org/10.1109/CVPR.2014.182 .
LibreCat: https://research-explorer.ista.ac.at/record/2172
DOI: 10.1109/CVPR.2014.182

Bellet, Aurélien, Amaury Habrard, Emilie Morvant, and Marc Sebban. “Learning a Priori Constrained Weighted Majority Votes.”https://doi.org/10.1007/s10994-014-5462-z__Machine Learning. Springer, 2014.https://doi.org/10.1007/s10994-014-5462-z .
LibreCat: https://research-explorer.ista.ac.at/record/2180
DOI: 10.1007/s10994-014-5462-z

Morvant, Emilie. “Adaptation de Domaine de Vote de Majorité Par Auto-Étiquetage Non Itératif,” 1:49–58. Elsevier, 2014.
LibreCat: https://research-explorer.ista.ac.at/record/2189

Pentina, Anastasia, and Christoph Lampert. “A PAC-Bayesian Bound for Lifelong Learning,” 32:991–99. ML Research Press, 2014.
LibreCat: https://research-explorer.ista.ac.at/record/2160

Kazmar, Tomas, Evgeny Kvon, Alexander Stark, and Christoph Lampert. “Drosophila Embryo Stage Annotation Using Label Propagation.”https://doi.org/10.1109/ICCV.2013.139__IEEE, 2013.https://doi.org/10.1109/ICCV.2013.139 .
LibreCat: https://research-explorer.ista.ac.at/record/2294
DOI: 10.1109/ICCV.2013.139

Sharmanska, Viktoriia, Novi Quadrianto, and Christoph Lampert. “Learning to Rank Using Privileged Information,”https://doi.org/10.1109/ICCV.2013.107__825–32. IEEE, 2013.https://doi.org/10.1109/ICCV.2013.107 .
LibreCat: https://research-explorer.ista.ac.at/record/2293
DOI: 10.1109/ICCV.2013.107

Lampert, Christoph, Hannes Nickisch, and Stefan Harmeling. “Attribute-Based Classification for Zero-Shot Learning of Object Categories.”https://doi.org/10.1109/TPAMI.2013.140__IEEE Transactions on Pattern Analysis and Machine Intelligence. IEEE, 2013.https://doi.org/10.1109/TPAMI.2013.140 .
LibreCat: https://research-explorer.ista.ac.at/record/2516
DOI: 10.1109/TPAMI.2013.140

Quadrianto, Novi, Viktoriia Sharmanska, David Knowles, and Zoubin Ghahramani. “The Supervised IBP: Neighbourhood Preserving Infinite Latent Feature Models.” In Proceedings of the 29th Conference Uncertainty in Artificial Intelligence, 527–36. AUAI Press, 2013.
LibreCat: https://research-explorer.ista.ac.at/record/2520

Chen, Chao, Vladimir Kolmogorov, Zhu Yan, Dimitris Metaxas, and Christoph Lampert. “Computing the M Most Probable Modes of a Graphical Model,” 31:161–69. JMLR, 2013.
LibreCat: https://research-explorer.ista.ac.at/record/2901

Tommasi, Tatiana, Novi Quadrianto, Barbara Caputo, and Christoph Lampert. “Beyond Dataset Bias: Multi-Task Unaligned Shared Knowledge Transfer.”https://doi.org/10.1007/978-3-642-37331-2_1__Lecture Notes in Computer Science. Springer, 2013.https://doi.org/10.1007/978-3-642-37331-2_1 .
LibreCat: https://research-explorer.ista.ac.at/record/2948
DOI: 10.1007/978-3-642-37331-2_1

Quadrianto, Novi, and Christoph Lampert. “Kernel Based Learning.”https://doi.org/10.1007/978-1-4419-9863-7_604__In Encyclopedia of Systems Biology, edited by Werner Dubitzky, Olaf Wolkenhauer, Kwang Cho, and Hiroki Yokota, 3:1069–1069. Springer, 2013.https://doi.org/10.1007/978-1-4419-9863-7_604 .
LibreCat: https://research-explorer.ista.ac.at/record/3321
DOI: 10.1007/978-1-4419-9863-7_604

Lampert, Christoph. “Dynamic Pruning of Factor Graphs for Maximum Marginal Prediction,” 1:82–90. Neural Information Processing Systems, 2012.
LibreCat: https://research-explorer.ista.ac.at/record/2825

Blaschko, Matthew, and Christoph Lampert. “Guest Editorial: Special Issue on Structured Prediction and Inference.”https://doi.org/10.1007/s11263-012-0530-y__International Journal of Computer Vision. Springer, 2012.https://doi.org/10.1007/s11263-012-0530-y .
LibreCat: https://research-explorer.ista.ac.at/record/3164
DOI: 10.1007/s11263-012-0530-y

Sharmanska, Viktoriia, Novi Quadrianto, and Christoph Lampert. “Augmented Attribute Representations,”https://doi.org/10.1007/978-3-642-33715-4_18__7576:242–55. Springer, 2012.https://doi.org/10.1007/978-3-642-33715-4_18 .
LibreCat: https://research-explorer.ista.ac.at/record/3125
DOI: 10.1007/978-3-642-33715-4_18

Müller, Andreas, Sebastian Nowozin, and Christoph Lampert. “Information Theoretic Clustering Using Minimal Spanning Trees,”https://doi.org/10.1007/978-3-642-32717-9_21__7476:205–15. Springer, 2012.https://doi.org/10.1007/978-3-642-32717-9_21 .
LibreCat: https://research-explorer.ista.ac.at/record/3126
DOI: 10.1007/978-3-642-32717-9_21

Lampert, Christoph, and Jan Peters. “Real-Time Detection of Colored Objects in Multiple Camera Streams with off-the-Shelf Hardware Components.”https://doi.org/10.1007/s11554-010-0168-3__Journal of Real-Time Image Processing. Springer, 2012.https://doi.org/10.1007/s11554-010-0168-3 .
LibreCat: https://research-explorer.ista.ac.at/record/3248
DOI: 10.1007/s11554-010-0168-3

Korc, Filip, Vladimir Kolmogorov, and Christoph Lampert. “Approximating Marginals Using Discrete Energy Minimization.” ICML, 2012.
LibreCat: https://research-explorer.ista.ac.at/record/3124

Korc, Filip, Vladimir Kolmogorov, and Christoph Lampert. Approximating Marginals Using Discrete Energy Minimization. IST Austria, 2012.https://doi.org/10.15479/AT:IST-2012-0003 .
LibreCat: https://research-explorer.ista.ac.at/record/5396
DOI: 10.15479/AT:IST-2012-0003

Kroemer, Oliver, Christoph Lampert, and Jan Peters. “Multi-Modal Learning for Dynamic Tactile Sensing.” Deutsches Zentrum für Luft und Raumfahrt, 2012.
LibreCat: https://research-explorer.ista.ac.at/record/2915

Quadrianto, Novi, Christoph Lampert, and Chao Chen. “The Most Persistent Soft-Clique in a Set of Sampled Graphs.” In Proceedings of the 29th International Conference on Machine Learning, 211–18. ML Research Press, 2012.
LibreCat: https://research-explorer.ista.ac.at/record/3127

Wang, Zhikun, Christoph Lampert, Katharina Mülling, Bernhard Schölkopf, and Jan Peters. “Learning Anticipation Policies for Robot Table Tennis,”https://doi.org/10.1109/IROS.2011.6094892__332–37. IEEE, 2011.https://doi.org/10.1109/IROS.2011.6094892 .
LibreCat: https://research-explorer.ista.ac.at/record/3337
DOI: 10.1109/IROS.2011.6094892

Blaschko, Matthew, Jacquelyn Shelton, Andreas Bartels, Christoph Lampert, and Arthur Gretton. “Semi Supervised Kernel Canonical Correlation Analysis with Application to Human FMRI.”https://doi.org/10.1016/j.patrec.2011.02.011__Pattern Recognition Letters. Elsevier, 2011.https://doi.org/10.1016/j.patrec.2011.02.011 .
LibreCat: https://research-explorer.ista.ac.at/record/3389
DOI: 10.1016/j.patrec.2011.02.011

Kroemer, Oliver, Christoph Lampert, and Jan Peters. “Learning Dynamic Tactile Sensing with Robust Vision Based Training.”https://doi.org/10.1109/TRO.2011.2121130__IEEE Transactions on Robotics. IEEE, 2011.https://doi.org/10.1109/TRO.2011.2121130 .
LibreCat: https://research-explorer.ista.ac.at/record/3382
DOI: 10.1109/TRO.2011.2121130

Chen, Chao, Daniel Freedman, and Christoph Lampert. Enforcing Topological Constraints in Random Field Image Segmentation. IST Austria, 2011.https://doi.org/10.15479/AT:IST-2011-0002 .
LibreCat: https://research-explorer.ista.ac.at/record/5386
DOI: 10.15479/AT:IST-2011-0002

Chen, Chao, Daniel Freedman, and Christoph Lampert. “Enforcing Topological Constraints in Random Field Image Segmentation.”https://doi.org/10.1109/CVPR.2011.5995503__In CVPR: Computer Vision and Pattern Recognition, 2089–96. IEEE, 2011.https://doi.org/10.1109/CVPR.2011.5995503 .
LibreCat: https://research-explorer.ista.ac.at/record/3336
DOI: 10.1109/CVPR.2011.5995503

Lampert, Christoph. “Maximum Margin Multi-Label Structured Prediction.” Neural Information Processing Systems, 2011.
LibreCat: https://research-explorer.ista.ac.at/record/3163

Lampert, Christoph. Maximum Margin Multi Label Structured Prediction. NIPS: Neural Information Processing Systems. Neural Information Processing Systems Foundation, 2011.
LibreCat: https://research-explorer.ista.ac.at/record/3322

Nowozin, Sebastian, and Christoph Lampert. “Structured Learning and Prediction in Computer Vision.”https://doi.org/10.1561/0600000033__Foundations and Trends in Computer Graphics and Vision. Now Publishers, 2011.https://doi.org/10.1561/0600000033 .
LibreCat: https://research-explorer.ista.ac.at/record/3320
DOI: 10.1561/0600000033

Quadrianto, Novi, and Christoph Lampert. “Learning Multi-View Neighborhood Preserving Projections,” 425–32. ML Research Press, 2011.
LibreCat: https://research-explorer.ista.ac.at/record/3319

Lampert, Christoph, and Oliver Krömer. “Weakly-Paired Maximum Covariance Analysis for Multimodal Dimensionality Reduction and Transfer Learning,”https://doi.org/10.1007/978-3-642-15552-9_41__6312:566–79. Springer, 2010.https://doi.org/10.1007/978-3-642-15552-9_41 .
LibreCat: https://research-explorer.ista.ac.at/record/3794
DOI: 10.1007/978-3-642-15552-9_41

Nowozin, Sebastian, Peter Gehler, and Christoph Lampert. “On Parameter Learning in CRF-Based Approaches to Object Class Image Segmentation,”https://doi.org/10.1007/978-3-642-15567-3_8__6316:98–111. Springer, 2010.https://doi.org/10.1007/978-3-642-15567-3_8 .
LibreCat: https://research-explorer.ista.ac.at/record/3793
DOI: 10.1007/978-3-642-15567-3_8