Aleksandar Bojchevski
I am a full professor for Computer Science at the University of Cologne where I lead the research group on Trustworthy Artificial Intelligence (website). Broadly speaking our research is about models and algorithms that are not only accurate or efficient, but also robust, uncertainty-aware, privacy-preserving, fair, and interpretable. One focus area of our research is trustworthy graph-based models such as graph neural networks. Previously I was faculty at the CISPA Helmholtz Center for Information Security. Before that I did a PostDoc and completed my PhD on machine learning for graphs at the Technical University of Munich, advised by Stephan Günnemann.
We have multiple open positions in our research group on a variety of (trustworthy) machine learning topics.
news
Oct '24 | Together with colleagues from RWTH Aachen we are co-organising a Learning on Graphs Meet Up. |
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Oct '24 | Our paper “SVFT: Parameter-Efficient Fine-Tuning with Singular Vectors” was accepted at NeurIPS 2024. |
Jun '24 | Together with Christian Sohler (UoC), Michael Shaub (RWTH Aachen), and Christopher Morris (RWTH Aachen) we organised the first seminar in a series on “Next Generation Graph Neural Networks” in Cologne. |
May '24 | Our paper on robust conformal prediction was accepted at ICML 2024. |
Feb '24 | Two papers were accepted at ICLR 2024, one on label poisoning and one on conformal GNNs. |
Dec '23 | I attended the Dagstuhl seminar on Scalabale Graph Mining and Learning. |
Sep '23 | Two papers, one on certificates and one on GATs, were accepted at NeurIPS 2023. |
Sep '23 | I joined the Center for Data and Simulation Science as a core scientist. |
Apr '23 | One paper on conformal predictions sets for GNNs was accepted at ICML 2023. |
Apr '23 | Our group joined the key profile area “Intelligent Methods for Earth System Sciences”. |