Marie Weiel

According to our database, Marie Weiel authored at least 6 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

Harnessing Orthogonality to Train Low-Rank Neural Networks.

Daniel Coquelin, Katharina Flügel, Marie Weiel, Nicholas Kiefer, Charlotte Debus, Achim Streit, Markus Götz

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

2023

Feed-Forward Optimization With Delayed Feedback for Neural Networks.

Katharina Flügel, Daniel Coquelin, Marie Weiel, Charlotte Debus, Achim Streit, Markus Götz

CoRR, 2023

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

Proceedings of the High Performance Computing - 38th International Conference, 2023

2021

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

2019

Rapid interpretation of small-angle X-ray scattering data.

Marie Weiel, Ines Reinartz, Alexander Schug

PLoS Comput. Biol., 2019