Zobrazeno 1 - 10
of 776
pro vyhledávání: '"Coquelin, A"'
Autor:
Coquelin, Daniel, Flügel, Katherina, Weiel, Marie, Kiefer, Nicholas, Öz, Muhammed, Debus, Charlotte, Streit, Achim, Götz, Markus
Communication bottlenecks severely hinder the scalability of distributed neural network training, particularly in high-performance computing (HPC) environments. We introduce AB-training, a novel data-parallel method that leverages low-rank representa
Externí odkaz:
http://arxiv.org/abs/2405.01067
Autor:
Coquelin, Daniel, Flügel, Katharina, Weiel, Marie, Kiefer, Nicholas, Debus, Charlotte, Streit, Achim, Götz, Markus
This study explores the learning dynamics of neural networks by analyzing the singular value decomposition (SVD) of their weights throughout training. Our investigation reveals that an orthogonal basis within each multidimensional weight's SVD repres
Externí odkaz:
http://arxiv.org/abs/2401.08505
Autor:
Flügel, Katharina, Coquelin, Daniel, Weiel, Marie, Debus, Charlotte, Streit, Achim, Götz, Markus
Backpropagation has long been criticized for being biologically implausible, relying on concepts that are not viable in natural learning processes. This paper proposes an alternative approach to solve two core issues, i.e., weight transport and updat
Externí odkaz:
http://arxiv.org/abs/2304.13372
Autor:
Taubert, Oskar, Weiel, Marie, Coquelin, Daniel, Farshian, Anis, Debus, Charlotte, Schug, Alexander, Streit, Achim, Götz, Markus
We present Propulate, an evolutionary optimization algorithm and software package for global optimization and in particular hyperparameter search. For efficient use of HPC resources, Propulate omits the synchronization after each generation as done i
Externí odkaz:
http://arxiv.org/abs/2301.08713
Autor:
Coquelin, Daniel, Rasti, Behnood, Götz, Markus, Ghamisi, Pedram, Gloaguen, Richard, Streit, Achim
As with any physical instrument, hyperspectral cameras induce different kinds of noise in the acquired data. Therefore, Hyperspectral denoising is a crucial step for analyzing hyperspectral images (HSIs). Conventional computational methods rarely use
Externí odkaz:
http://arxiv.org/abs/2204.06979
Autor:
Tuo Wei, Yehui Sun, Qiang Cheng, Sumanta Chatterjee, Zachary Traylor, Lindsay T. Johnson, Melissa L. Coquelin, Jialu Wang, Michael J. Torres, Xizhen Lian, Xu Wang, Yufen Xiao, Craig A. Hodges, Daniel J. Siegwart
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-14 (2023)
Abstract Approximately 10% of Cystic Fibrosis (CF) patients, particularly those with CF transmembrane conductance regulator (CFTR) gene nonsense mutations, lack effective treatments. The potential of gene correction therapy through delivery of the CR
Externí odkaz:
https://doaj.org/article/220903d538f7496e9c1e3362c609fff3
Autor:
Zysman, Maéva, Coquelin, Anaëlle, Le Guen, Nelly, Solomiac, Agnès, Guecamburu, Marina, Erbault, Marie, Blanchard, Elodie, Roche, Nicolas, Morin, Sandrine
Publikováno v:
In Respiratory Medicine May 2024 226
Accelerating Neural Network Training with Distributed Asynchronous and Selective Optimization (DASO)
Autor:
Coquelin, Daniel, Debus, Charlotte, Götz, Markus, von der Lehr, Fabrice, Kahn, James, Siggel, Martin, Streit, Achim
Publikováno v:
J Big Data 9, 14 (2022)
With increasing data and model complexities, the time required to train neural networks has become prohibitively large. To address the exponential rise in training time, users are turning to data parallel neural networks (DPNN) to utilize large-scale
Externí odkaz:
http://arxiv.org/abs/2104.05588
Autor:
Oskar Taubert, Fabrice von der Lehr, Alina Bazarova, Christian Faber, Philipp Knechtges, Marie Weiel, Charlotte Debus, Daniel Coquelin, Achim Basermann, Achim Streit, Stefan Kesselheim, Markus Götz, Alexander Schug
Publikováno v:
Communications Biology, Vol 6, Iss 1, Pp 1-8 (2023)
Abstract On the path to full understanding of the structure-function relationship or even design of RNA, structure prediction would offer an intriguing complement to experimental efforts. Any deep learning on RNA structure, however, is hampered by th
Externí odkaz:
https://doaj.org/article/d536d84aae0f4245a6e3998c83d5238a
Autor:
Marina Guecamburu, Anaëlle Coquelin, Amandine Rapin, Nelly Le Guen, Agnès Solomiac, Pauline Henrot, Marie Erbault, Sandrine Morin, Maéva Zysman
Publikováno v:
Respiratory Research, Vol 24, Iss 1, Pp 1-11 (2023)
Abstract Background Acute exacerbations of chronic obstructive pulmonary disease (COPD) lead to a significant reduction in quality of life and an increased mortality risk. Current guidelines strongly recommend pulmonary rehabilitation (PR) after a se
Externí odkaz:
https://doaj.org/article/7bf5fade1534439c9094e0fe286b25bc