no code implementations • 19 Nov 2023 • Felix Pieper, Konstantin Ditschuneit, Martin Genzel, Alexandra Lindt, Johannes Otterbach
Self-supervised learning for time-series data holds potential similar to that recently unleashed in Natural Language Processing and Computer Vision.
no code implementations • ICML Workshop INNF 2021 • Alexandra Lindt, Emiel Hoogeboom
Discrete flow-based models are a recently proposed class of generative models that learn invertible transformations for discrete random variables.
no code implementations • 22 Jun 2020 • Alexandra Lindt, Pablo Barros, Henrique Siqueira, Stefan Wermter
Recently deep generative models have achieved impressive results in the field of automated facial expression editing.