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Machine Learning and
Computer Vision Group

	PI: Christoph H. Lampert (he/him) Professor ISTA (Institute of Science and Technology Austria)
Coordinates	Address: Am Campus 1, ISTA, 3400 Klosterneuburg, Austria Email: chl (at) ist (dot) ac (dot) at Phone: +43 2243 9000 3101 (but sending me email usually works better) Biographical sketch Curriculum vitae
Group News
Highlights	01/2025Two papers from MLCV group members accepted to ICLR. Congratulations Egor and Peter! 09/2024Three papers from MLCV group members accepted to NeurIPS. Congratulations Peter and Nikita! 05/2024Two papers accepted to ICML. Congratulations Jonny, Hossein and Amin! 03/2024 A paper accepted to CVML. Congratulations Bernd and Fabio! 01/2024 Apaper accepted to ICLR. Congratulations Jonny and Hossein! 10/2023 Apaper accepted to TMLR. Congratulations Jonny and Michelle! 09/2023 Apaper accepted to NeurIPS. Congratulations Peter! 06/2023 Our alumnus Alexander Kolesnikov received theISTA Alumni Award. Congratulation, Alex! 04/2023 Apaper accepted toCVPR. Congratulations Alex! 01/2023 Apaper accepted to ICLR. Congratulations Alex! 09/2022 ISTA washacked! Expect some IT-related hiccups over the next few~~weeksmonthsyears~~ decades. 08/2022 Apaper accepted to TMLR. Congratulations Jen and Niko! 07/2022 Apaper accepted to ECCV. Congratulations Bernd! 04/2022 Apaper accepted to JMLR. Congratulations Niko! 12/2019 ISTA has been approved asELLIS unit. 09/2019Asya Pentina (PhD 2016) received anELLIS Ph.D. award for"outstanding research achievements during the dissertation phase in artificial intelligence and machine learning". Congratulations!
Recent Publications and Preprints	see our publications page.
Team News	09/2023Max Cairney-Leeming joined our group. Welcome! 09/2023 Egor passed his Qualifying Exam. Congratulations! 09/2023 Nikita passed his Qualifying Exam. Congratulations! 09/2023 Hossein passed his Qualifying Exam. Congratulations! 07/2023Egor Zverev andNikita Kalinin joined our group. Welcome! 04/2023Alex Peste defended her PhD thesis"Robustness and Fairness in Machine Learning Learning". Congratulations, Dr Peste! 03/2023 Peter passed his Qualifying Exam. Congratulations! 02/2022Niko Konstantinov defended his PhD thesis"Robustness and Fairness in Machine Learning Learning". Congratulations, Dr Konstantinov! 01/2022 Jonny passed his Qualifying Exam. Congratulations! 05/2021Mary Phuong defended her PhD thesis"Underspecification in Deep Learning". Congratulations, Dr Phuong! 05/2021 Jonny Scott affiliated with our group. Welcome, Jonny! 03/2021 Bernd passed his Qualifying Exam. Congratulations! 08/2020Amelie Royer defended her PhD thesis"Leveraging structure in Computer Vision tasks for flexible Deep Learning models". Congratulations, Dr Royer! 07/2020 Bernd Prach affiliated with our group. Welcome, Bernd! 01/2020Alex Peste passed her Qualifying Exam. Congratulations! 09/2018Alex Zimin defended his PhD thesis"Learning from dependent data". Congratulations, Dr Zimin! 02/2018Alex Kolesnikov defended his PhD thesis"Weakly-Supervised Segmentation and Unsupervised Modeling of Natural Images". Congratulations, Dr Kolesnikov!
Recent and Upcoming Activities (seeCV for a more complete list)
Workshops, Books and Edited Volumes	Edited Book:Wie Maschinen Lernen, Springer 2019 (with Kristian Kersting and Constantin Rothkopf) Workshop:Continuous and Open-Set Learning atCVPR 2017 (with E. Rodner, A. Freytag, T. Boult, J. Denzler) Edited Volume:Visual Attributes, Springer 2017 (with Rogerio S. Feris and Devi Parikh) Edited Volume:Advanced Structured Prediction, MIT Press 2015 (with S. Nowozin, P. V. Gehler and J. Jancsary)
Chair Positions and Memberships	ELLISFellow and Unit Director Action Editor forJournal of Machine Learning Research (JMLR) (until 2023) Editor forInternational Journal for Computer Vision (IJCV) (until 2022) Associate Editor in Chief forIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
External Talks	21 Sep 2020:Federated Learning -- All for One and One for All, Invited talk atGCPR 2023, Heidelberg, Germany 12 Jun 2023:Robust Learning from Multiple Sources, ISOR Seminar, University of Viena 05 Jun 2023:Trustworthy Machine Learning: The Quest for Robustness, Austrian Computer Science Day, TU Graz, Austria 27 Oct 2022:Robust and Fair Multi-Source Learning, The Mathematics of Machine Learning Workshop, BCAM Bilbao 17 August 2022:"Behind the Scenes: How Does One Become a (Machine Learning) Researcher and What Does It Mean To Be One?" Estonian Summer School on Computer and Systems Science, Tartu, EE. 14 Apr 2022:Robust Learning from Multiple Sources, Mathematical Machine Learning Seminar MPI Mis + UCLA
External Teaching	16/17 August 2022:Estonian Summer School on Computer and Systems Science, Tartu, EE."Robust and Fair Machine Learning" part 1 (PDF) part 2 (PDF)
Teaching and other presentations atISTA	10/2022"Modern Machine Learning" (coming up) 09/2021Intro to the "Machine Learning and Computer Vision" research group 09/2021"Intro to DSSC Track for Graduate Students" 07/2021"Intro to DSSC Track for ISTerns" Q4(moved!) 2020/21:"Concentration of Measure" (advanced course, with Jan Maas) Q3(moved!) 2020/21:"Probabilistic Graphical Models" (advanced course, with Paul Henderson) Q1 2020/21:"Statistical Machine Learning" (advanced course) Q3 2019/20:"Formal Methods for Learned Systems" (seminar)

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