Daniel Coquelin

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 13

Top Topics

Neural Architecture

Evolutionary Optimization

Neural Network Training

Top Venues

Nat. Mach. Intell.

Publications

Daniel Coquelin, Katherina Flügel, Marie Weiel, Nicholas Kiefer, Muhammed Öz, Charlotte Debus, Achim Streit, Markus Götz
AB-Training: A Communication-Efficient Approach for Distributed Low-Rank Learning. CoRR (2024)
Daniel Coquelin, Katharina Flügel, Marie Weiel, Nicholas Kiefer, Charlotte Debus, Achim Streit, Markus Götz
Harnessing Orthogonality to Train Low-Rank Neural Networks. CoRR (2024)
Oskar Taubert, Marie Weiel, Daniel Coquelin, Anis Farshian, Charlotte Debus, Alexander Schug, Achim Streit, Markus Götz
Massively Parallel Genetic Optimization Through Asynchronous Propagation of Populations. ISC (2023)
Oskar Taubert, Marie Weiel, Daniel Coquelin, Anis Farshian, Charlotte Debus, Alexander Schug, Achim Streit, Markus Götz
Massively Parallel Genetic Optimization through Asynchronous Propagation of Populations. CoRR (2023)
Katharina Flügel, Daniel Coquelin, Marie Weiel, Charlotte Debus, Achim Streit, Markus Götz
Feed-Forward Optimization With Delayed Feedback for Neural Networks. CoRR (2023)
Daniel Coquelin, Charlotte Debus, Markus Götz, Fabrice von der Lehr, James Kahn, Martin Siggel, Achim Streit
Accelerating neural network training with distributed asynchronous and selective optimization (DASO). J. Big Data 9 (1) (2022)
Daniel Coquelin, Behnood Rasti, Markus Götz, Pedram Ghamisi, Richard Gloaguen, Achim Streit
HyDe: The First Open-Source, Python-Based, GPU-Accelerated Hyperspectral Denoising Package. CoRR (2022)
Daniel Coquelin, Behnood Rasti, Markus Götz, Pedram Ghamisi, Richard Gloaguen, Achim Streit
Hyde: The First Open-Source, Python-Based, Gpu-Accelerated Hyperspectral Denoising Package. WHISPERS (2022)
Marie Weiel, Markus Götz, André Klein, Daniel Coquelin, Ralf Floca, Alexander Schug
Dynamic particle swarm optimization of biomolecular simulation parameters with flexible objective functions. Nat. Mach. Intell. 3 (8) (2021)
Daniel Coquelin, Rocco Sedona, Morris Riedel, Markus Götz
Evolutionary Optimization of Neural Architectures in Remote Sensing Classification Problems. IGARSS (2021)
Daniel Coquelin, Charlotte Debus, Markus Götz, Fabrice von der Lehr, James Kahn, Martin Siggel, Achim Streit
Accelerating Neural Network Training with Distributed Asynchronous and Selective Optimization (DASO). CoRR (2021)
Markus Götz, Charlotte Debus, Daniel Coquelin, Kai Krajsek, Claudia Comito, Philipp Knechtges, Björn Hagemeier, Michael Tarnawa, Simon Hanselmann, Martin Siggel, Achim Basermann, Achim Streit
HeAT - a Distributed and GPU-accelerated Tensor Framework for Data Analytics. IEEE BigData (2020)
Markus Götz, Daniel Coquelin, Charlotte Debus, Kai Krajsek, Claudia Comito, Philipp Knechtges, Björn Hagemeier, Michael Tarnawa, Simon Hanselmann, Martin Siggel, Achim Basermann, Achim Streit
HeAT - a Distributed and GPU-accelerated Tensor Framework for Data Analytics. CoRR (2020)