I am a full professor for machine learning in the Department of Artificial Intelligence and Human Interfaces (AIHI) at the University of Salzburg (PLUS), Austria. Prior to that, I was part of the medical imaging and computer vision group at Kitware Inc., North Carolina, USA. My research spans multiple areas, but mostly focusses on theoretical and practical aspects of learning methods that allow to leverage and control structural characteristics of data. I am also a member of the ELLIS society.
July 2023: Checkout my group’s latest work on Latent SDEs on Homogeneous Spaces on arXiv - joint work with Sebastian Zeng and Florian Graf
July 2023: Multistep Inverse Consistency by Construction by Hastings Greer, Lin Tian, F.X.-Vialard, myself, Sylvain Bouix, R. Estépar, R. Rushmore and M. Niethammer got accepted at MICCAI ‘23 - checkout the preprint on arXiv
February 2023: GradICON: Approximate Diffeomorphisms via Gradient Inverse Consistency by Hastings Greer, Lin Tian, F.X.-Vialard, myself, R. Estépar, R. Rushmore, N. Makris, S. Bouix and M. Niethammer got accepted at CVPR ‘23
November 2022: Check out our latest preprint GradICON: Approximate Diffeomorphisms via Gradient Inverse Consistency by Hastings Greer, Lin Tian, F.X.-Vialard, myself, R. Estépar, R. Rushmore, N. Makris, S. Bouix and M. Niethammer on arXiv
September 2022: Check out our latest work On Measuring Excess Capacity in Neural Networks on arXiv - a joint effort of Florian Graf, Sebastian Zeng, Bastian Rieck, Marc Niethammer and myself - now accepted at NeurIPS ‘22
August 2022: My group hosted the Biannual Austrian TDA meeting this year, a joint effort by Herbert Edelsbrunner (IST Austria), Michael Kerber (TU Graz) and myself. Great meeting and great talks!
January 2022: As of 01/2022, I will serve as deputy head of the newly founded Department of Artificial Intelligence and Human Interfaces (AIHI) at the University of Salzburg.
September 2021: I gave a talk within the Thematic Mini-Conference on Computational Topology and Machine Learning at the TU Berlin - Slides are available here
September 2021: Sebastian Zeng’s paper Topological Attention for Time Series Forecasting has been accepted at NeurIPS ‘21 - joint work with F. Graf, C. Hofer and myself
July 2021: Hastings Greer’s paper ICON: Learning Regular Maps Through Inverse Consistency has been accepted at ICCV ‘21 - joint work with Marc Niethammer, F.-X. Vialard and myself
July 2021: Chris has left our group to work in industry - Thanks for all the great work over the years!
May 2021: One paper accepted (as long presentation) at ICML ‘21 (congrats Chris and Florian)
February 2021: Our new preprint Dissecting Supervised Contrastive Learning (joint work with F. Graf, C. Hofer and M. Niethammer) is available at here
September 2020: One paper (joint work with S. Wei, F.-X. Vialard and M. Niethammer) accepted (as oral) for NeurIPS ‘20
June 2020: Two papers accepted at ICML ‘20 (congrats Chris and Florian)
I regularly serve as a reviewer for the major vision and machine learning conferences (e.g., CVPR, ICCV, ECCV, BMVC, NIPS, AISTATS, ICIP, ICPR, MICCAI, ICLR) as well as the major journals in the field (e.g.,TPAMI, JMLR, IJCV, TMI, TIP, TSP, MedIA).