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.
1 code implementation • 25 Sep 2020 • Baptiste Roziere, Nathanal Carraz Rakotonirina, Vlad Hosu, Andry Rasoanaivo, Hanhe Lin, Camille Couprie, Olivier Teytaud
More generally, our approach can be used to optimize any method based on noise injection.
1 code implementation • 21 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.