HeAT - a Distributed and GPU-accelerated Tensor Framework for Data Analytics. - Markus Götz; Charlotte Debus; Daniel Coquelin; Kai Krajsek; Claudia Comito; Philipp Knechtges; Björn Hagemeier; Michael Tarnawa; Simon Hanselmann; Martin Siggel; Achim Basermann; Achim Streit (IEEE BigData, 2020)

Evolutionary Optimization of Neural Architectures in Remote Sensing Classification Problems. - Daniel Coquelin; Rocco Sedona; Morris Riedel; Markus Götz (IGARSS, 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)

Hyde: The First Open-Source, Python-Based, Gpu-Accelerated Hyperspectral Denoising Package. - Daniel Coquelin; Behnood Rasti; Markus Götz; Pedram Ghamisi; Richard Gloaguen; Achim Streit (WHISPERS, 2022)

Accelerating neural network training with distributed asynchronous and selective optimization (DASO). - Daniel Coquelin; Charlotte Debus; Markus Götz; Fabrice von der Lehr; James Kahn; Martin Siggel; Achim Streit (J. Big Data, 2022)

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)