Daniel Coquelin

Orcid: 0000-0001-8552-5153

According to our database¹, Daniel Coquelin authored at least 8 papers between 2020 and 2024.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

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2024

Harnessing Orthogonality to Train Low-Rank Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2024

2023

Feed-Forward Optimization With Delayed Feedback for Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2023

Massively Parallel Genetic Optimization Through Asynchronous Propagation of Populations.

[BibT_eX]

[DOI]

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

2022

Accelerating neural network training with distributed asynchronous and selective optimization (DASO).

[BibT_eX]

[DOI]

J. Big Data, 2022

Hyde: The First Open-Source, Python-Based, Gpu-Accelerated Hyperspectral Denoising Package.

[BibT_eX]

[DOI]

Proceedings of the 12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2022

2021

Dynamic particle swarm optimization of biomolecular simulation parameters with flexible objective functions.

[BibT_eX]

[DOI]

Nat. Mach. Intell., 2021

Evolutionary Optimization of Neural Architectures in Remote Sensing Classification Problems.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2020

HeAT - a Distributed and GPU-accelerated Tensor Framework for Data Analytics.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Daniel Coquelin

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