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	04/2025 A paper accepted to NeuS. Congratulations Fabian! 01/2025 Two papers from MLCV group members accepted to ICLR. Congratulations Egor and Peter! 09/2024 Three papers from MLCV group members accepted to NeurIPS. Congratulations Peter and Nikita! 05/2024 Two papers accepted to ICML. Congratulations Jonny, Hossein and Amin! 03/2024 A paper accepted to CVML. Congratulations Bernd and Fabio! 01/2024 A paper accepted to ICLR. Congratulations Jonny and Hossein! 10/2023 A paper accepted to TMLR. Congratulations Jonny and Michelle! 09/2023 A paper accepted to NeurIPS. Congratulations Peter! 06/2023 Our alumnus Alexander Kolesnikov received the ISTA Alumni Award. Congratulation, Alex! 12/2019 ISTA has been approved as ELLIS unit. 09/2019 Asya Pentina (PhD 2016) received an ELLIS 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	09/2023 Max 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! 07/2023 Egor Zverev and Nikita Kalinin joined our group. Welcome! 04/2023 Alex Peste defended her PhD thesis "Robustness and Fairness in Machine Learning Learning". Congratulations, Dr Peste! 03/2023 Peter passed his Qualifying Exam. Congratulations! 02/2022 Niko Konstantinov defended his PhD thesis "Robustness and Fairness in Machine Learning Learning". Congratulations, Dr Konstantinov! 01/2022 Jonny passed his Qualifying Exam. Congratulations! 05/2021 Mary 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! 08/2020 Amelie 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! 01/2020 Alex Peste passed her Qualifying Exam. Congratulations! 09/2018 Alex Zimin defended his PhD thesis "Learning from dependent data". Congratulations, Dr Zimin! 02/2018 Alex Kolesnikov defended his PhD thesis "Weakly-Supervised Segmentation and Unsupervised Modeling of Natural Images". Congratulations, Dr Kolesnikov!
Recent and Upcoming Activities (see CV 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 at CVPR 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	ELLIS Fellow and Unit Director Action Editor for Journal of Machine Learning Research (JMLR) (until 2023) Editor for International Journal for Computer Vision (IJCV) (until 2022) Associate Editor in Chief for IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
External Talks (incomplete)	21 Sep 2023: Federated Learning -- All for One and One for All, Invited talk at GCPR 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 at ISTA	10/2022 "Modern Machine Learning" (coming up) 09/2021 Intro 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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