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.