I am currently a PhD student @ Université Paris-Saclay/CEA-List. The subject of my thesis is on the contributions of Optimal Transport Theory for Transfer Learning, and to Machine Learning in general. My research interests are related to applied mathematics, statistics and machine learning. In the past years, I focused on Transfer Learning, Control Theory, Image Processing, Optimal Transport and Statistical Learning Theory.
PhD student at Université Paris-Saclay & CEA-List. Working on Optimal Transport for Transfer Learning
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Université Paris-Saclay
- Paris, France
- https://eddardd.github.io/my-personal-blog
- @efernand9
Highlights
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CrossDomainFaultDiagnosis
CrossDomainFaultDiagnosis PublicRepository containing the code for the experiments and examples of my Bachelor Thesis: Cross Domain Fault Detection through Optimal Transport
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WBTransport
WBTransport PublicThis repo contains the implementation of the Wasserstein Barycenter Transport proposed in "Wasserstein Barycenter Transport for Acoustic Adaptation" at ICASSP21 and "Wasserstein Barycenter for Mult…
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