Search Results for author: Luis Oala

Found 7 papers, 6 papers with code

Post-Hoc Domain Adaptation via Guided Data Homogenization

1 code implementation8 Apr 2021 Kurt Willis, Luis Oala

Addressing shifts in data distributions is an important prerequisite for the deployment of deep learning models to real-world settings.

Domain Adaptation

Interval Neural Networks as Instability Detectors for Image Reconstructions

1 code implementation27 Mar 2020 Jan Macdonald, Maximilian März, Luis Oala, Wojciech Samek

This work investigates the detection of instabilities that may occur when utilizing deep learning models for image reconstruction tasks.

Image Reconstruction

Interval Neural Networks: Uncertainty Scores

1 code implementation25 Mar 2020 Luis Oala, Cosmas Heiß, Jan Macdonald, Maximilian März, Wojciech Samek, Gitta Kutyniok

We propose a fast, non-Bayesian method for producing uncertainty scores in the output of pre-trained deep neural networks (DNNs) using a data-driven interval propagating network.

Image Reconstruction

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