news
| 11/2024 | Our work on the Hadwiger-Nelson problem has been featured in the spanish newspaper El País! |
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| 10/2024 | Happy to share that I am now the Research Area Lead of the Machine Learning subgroup of IOL, iol.LEARN, alongside Sai Ganesh Nagarajan! |
| 07/2024 | Join our Team in Berlin - We are seeking highly motivated PhD students to work on (efficient) Deep Learning, preferably with strong math/CS background and PyTorch experience. Happy to answer questions via email or at ICML2024 in Vienna! Directly apply here! |
| 06/2024 | Our paper Estimating Canopy Height at Scale has been accepted to ICML24 and is now available on arXiv! Checkout the map on the Earth Engine! |
| 04/2024 | Our group was featured on german local TV regarding the use of generative AI! You can watch the interview with Sebastian and myself here (in german, available until 04/2026). |
| 02/2024 | Two papers accepted to conferences as posters: Sparse Model Soups: A Recipe for Improved Pruning via Model Averaging at ICLR24 and Interpretability Guarantees with Merlin-Arthur Classifiers at AISTATS24! I will update with camera-ready versions soon and will be in Vienna. |
| 12/2023 | Our new preprint is on arXiv: PERP: Rethinking the Prune-Retrain Paradigm in the Era of LLMs! |
| 07/2023 | We published a new paper: Sparse Model Soups: A Recipe for Improved Pruning via Model Averaging! You can find the corresponding blogpost here. |
| 05/2023 | I presented our poster “How I Learned to Stop Worrying and Love Retraining” at ICLR2023 in Kigali, Rwanda! You can find all information in the list of publications below. |