news

May '26 The ELLIS Unit NRW has officially launched. I am one of its co-directors.
Apr '26 Two of our papers were selected for oral presentations at ICLR 2026 workshops: “CATS: Conformalized Adaptive Test-Time Scaling”, which also received a Best Poster Award, and “Test-Time Training Undermines Safety Guardrails”.
Jan '25 Our Machine Learning lecture (SS 24) got a teaching award :confetti_ball:
Oct '24 Together with colleagues from RWTH Aachen we are co-organising a Learning on Graphs Meet Up.
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”.
Mar '23 I will join the University of Cologne as a tenured professor for Computer Science.
Jan '23 Our paper on probing graph-based models was accepted at AISTATS.
Jan '23 Two papers accepted at ICLR 2023, one on robustness and one on geometric graphs.
Jan '23 Our paper on adversarial weight perturbation was accepted at AAAI (oral).
Sep '22 Two papers on robustness, one on adaptive attacks and one on robustness certificates, were accepted at NeurIPS 2022.
Sep '22 This semester I am co-teaching the Elements of Machine Learning lecture with Prof. Jilles Vreeken.
Jan '22 Our paper on generalization of combinatorial solvers was accepted at ICLR 2022.
Oct '21 This semester I am teaching the Trustworthy Graph Neural Networks seminar.
Sep '21 Our paper on robustness of GNNs at scale was accepted at NeurIPS 2021.
Sep '21 I have joined CISPA as a tenure-track faculty :microscope:. We have multiple open positions!
Jun '21 I gave a talk on Trustworthy Machine Learning for Graphs with Guarantees at the Math of AI Seminar @ LMU.
Mar '21 I gave a talk on Trustworthy Machine Learning for Graphs at CISPA.
Mar '21 I gave a talk on Provably Robust Machine Learning on Graphs at NEC Labs Europe.
Feb '21 Our paper on the curse of dimensionality for randomized smoothing :skull: was accepted at AISTATS 2021.
Jan '21 Our paper on collective robustness certificates was accepted at ICLR 2021.
Dec '20 I defended my PhD thesis with distinction (summa cum laude) :crossed_swords:.
Jun '20 Our paper on robustness certificates was accepted at ICML 2020.
May '20 Our paper on scaling graph neural networks was accepted at KDD 2020 (oral).