Rapid interpretation of small-angle X-ray scattering data. - Marie Weiel; Ines Reinartz; Alexander Schug (PLoS Comput. Biol., 2019)

Dynamic particle swarm optimization of biomolecular simulation parameters with flexible objective functions. - Marie Weiel; Markus Götz; André Klein; Daniel Coquelin; Ralf Floca; Alexander Schug (Nat. Mach. Intell., 2021)

Massively Parallel Genetic Optimization Through Asynchronous Propagation of Populations. - Oskar Taubert; Marie Weiel; Daniel Coquelin; Anis Farshian; Charlotte Debus; Alexander Schug; Achim Streit; Markus Götz (ISC, 2023)

Feed-Forward Optimization With Delayed Feedback for Neural Networks. - Katharina Flügel; Daniel Coquelin; Marie Weiel; Charlotte Debus; Achim Streit; Markus Götz (CoRR, 2023)

Harnessing Orthogonality to Train Low-Rank Neural Networks. - Daniel Coquelin; Katharina Flügel; Marie Weiel; Nicholas Kiefer; Charlotte Debus; Achim Streit; Markus Götz (ECAI, 2024)

Feed-Forward Optimization With Delayed Feedback for Neural Network Training. - Katharina Flügel; Daniel Coquelin; Marie Weiel; Charlotte Debus; Achim Streit; Markus Götz (ICONIP (4), 2024)

AB-Training: A Communication-Efficient Approach for Distributed Low-Rank Learning. - Daniel Coquelin; Katherina Flügel; Marie Weiel; Nicholas Kiefer; Muhammed Öz; Charlotte Debus; Achim Streit; Markus Götz (CoRR, 2024)

Beyond Backpropagation: Optimization with Multi-Tangent Forward Gradients. - Katharina Flügel; Daniel Coquelin; Marie Weiel; Achim Streit; Markus Götz (CoRR, 2024)

AutoPQ: Automating Quantile estimation from Point forecasts in the context of sustainability. - Stefan Meisenbacher; Kaleb Phipps; Oskar Taubert; Marie Weiel; Markus Götz; Ralf Mikut; Veit Hagenmeyer (CoRR, 2024)