Our literature review paper by Patrick Berggold, Ana Čukarska, Stavros Nousias, Felix Dietrich and André Borrmann, surveys the recent literature on machine learning methods for crowd modeling is published in Safety Science and publicly available.
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Our paper on "Random Feature Hamiltonian Graph Networks" by Atamert Rahma, Chinmay Datar, Ana Cukarska, and Felix Dietrich has been accepted to the International Conference on Learning Representations (ICLR) 2026.
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Our paper on "Frozen-PINNs" by Chinmay Datar, Taniya Kapoor, Abhishek Chandra, Qing Sun, Erik Lien Bolager, Iryna Burak, Anna Veselovska, Massimo Fornasier, and Felix Dietrich has been accepted to the International Conference on Learning Representations (ICLR) 2026.
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Wil Schilders (IAS, TU/e) and Felix Dietrich published an overview paper on "Scientific Machine Learning" in the journal "Mathematische Semesterberichte".
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The LRZ has published an interview with Felix on the SWIM method developed by our group. This method allows for fast training of neural networks and drastically reduces energy consumption without sacrificing accuracy. See more details at…
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We are happy to announce our workshop “Linear Operators in AI”.
The worlds of scientific computing and artificial intelligence are mostly developing in parallel. While "classical" scientific methods have strong mathematical foundations, they come with practical limitations, for example, in higher…
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TUM has published an article on SWIM method developed by our group. This method allows for fast training of neural networks and drastically reduces energy consumption without sacrificing accuracy. See more details at…
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