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

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