Search Results for author: Andry Rasoanaivo

Found 3 papers, 3 papers with code

Learning meta-features for AutoML

1 code implementation ICLR 2022 Herilalaina Rakotoarison, Louisot Milijaona, Andry Rasoanaivo, Michele Sebag, Marc Schoenauer

This paper tackles the AutoML problem, aimed to automatically select an ML algorithm and its hyper-parameter configuration most appropriate to the dataset at hand.

AutoML

ESRGAN+ : Further Improving Enhanced Super-Resolution Generative Adversarial Network

1 code implementation21 Jan 2020 Nathanaël Carraz Rakotonirina, Andry Rasoanaivo

Enhanced Super-Resolution Generative Adversarial Network (ESRGAN) is a perceptual-driven approach for single image super resolution that is able to produce photorealistic images.

Generative Adversarial Network Image Super-Resolution

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