Publications

Daniel Musekamp, Marimuthu Kalimuthu, David Holzmüller, Makoto Takamoto, and Mathias Niepert. Active Learning for Neural PDE Solvers. NeurIPS 2024 Workshop on Data-driven and Differentiable Simulations, Surrogates, and Solvers, 2024. [PUMA: ki mls workshop] URL

Andrei Manolache, Dragos Tantaru, and Mathias Niepert. MolMix: A Simple Yet Effective Baseline for Multimodal Molecular Representation Learning. 2024. [PUMA: ki mls workshop] URL

Edgar Torres, and Mathias Niepert. Survey: Adaptive Physics-informed Neural Networks. Neurips 2024 Workshop Foundation Models for Science: Progress, Opportunities, and Challenges, 2024. [PUMA: ki mls workshop] URL

Carlos Mougan, Salvatore Ruggieri, Laura State, Antonio Ferrara, and Steffen Staab. Measuring the Impact of Equal Treatment as Blindness via Explanations Disparity. 2024. [PUMA: ki workshop] URL

Hoai-Chau Tran, Duy Minh Ho Nguyen, Manh-Duy Nguyen, Ngan Hoang Le, and Binh T. Nguyen. Energy Minimizing-based Token Merging for Accelerating Transformers. Proceedings of Practical ML for Low Resource Settings in Science workshop at ICLR 2024, May 7-11, 2024, Austria, ICLR, May 2024. [PUMA: mls workshop]

Jan Hagnberger, Marimuthu Kalimuthu, Daniel Musekamp, and Mathias Niepert. Vectorized Conditional Neural Fields: A Framework for Solving Time-dependent PDEs. Proceedings of the AI4DifferentialEquations in Science workshop at ICLR 2024, May 7-11, 2024, Austria, ICLR, May 2024. [PUMA: mls workshop]