Content
Workshop Papers
2025
- C. Bülte, S. Maskey, P. Scholl, J. von Berg, G. Kutyniok. Graph Neural Networks For Enhancing Ensemble Forecasts Of Extreme Rainfall. ICLR 2025 Workshop “Tackling Climate Change with Machine Learning”. (arXiv:2504.05471)
- C. Kneissl, C. Bülte, P. Scholl, G. Kutyniok. "Uncertainty-aware diffusion models for probabilistic regression". The Epistemic Intelligence in Machine Learning workshop at the EURIPS 2025
- A. Fono, H. Boche, G. Kutyniok. How to realize efficient Spiking Neural Networks?. AAAI 2026 Workshop on 'Foretell of Future AI from Mathematical Foundation' (Math4AI)
- J. von Berg, A. Fono, M. Datres , S. Maskey, G. Kutyniok. The Price of Robustness: Stable Classifiers Need Overparameterization. ICML 2025 Workshop “3rd Workshop on High-dimensional Learning Dynamics (HiLD)”. (https://openreview.net/forum?id=rmFYS3vTwR)
- C. Bülte, Y. Sale, T. Löhr, P. Hofman, G. Kutyniok, E. Hüllermeier. A Formal Assessment of Uncertainty Measures in Regression. EIML@EurIPS 2025 Workshop Epistemic Intelligence in Machine Learning
2024
- M. Singh, A. Fono, G. Kutyniok, Expressivity of Spiking Neural Networks. NeurIPS 2023 Workshop on Unifying Representations in Neural Models. (arXiv:2308.08218)
- R. Paolino*, S. Maskey*, P. Welke, G. Kutyniok. Weisfeiler and Leman Go Loopy: A New Hierarchy for Graph Representational Learning. ICLR 2024 Workshop on Bridging the Gap Between Practice and Theory in Deep Learning. (arXiv:2403.13749)
- C. Bülte, P. Scholl, G. Kutyniok. Probabilistic predictions with Fourier neural operators. NeurIPS 2024 Workshop on Bayesian Decision-making and Uncertainty. (pdf)
2023
- C. Yapar, F. Janesch, R. Levie, G. Kutyniok, G. Caire. Overview Of The Urban Wireless Localization Competition. 2023 IEEE International Workshop on Machine Learning for Signal Processing (pdf).
2022
- S. Maskey, A. Parviz, M. Thiessen, H. Stärk, Y. Sadikaj, H. Maron. Generalized Laplacian Positional Encoding for Graph Representation Learning. NeurIPS Workshop on Symmetry and Geometry in Neural Representations: Extended Abstract Track 2022 (arXiv:2210.15956).
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