Search Results for author: Vanessa Böhm

Found 3 papers, 3 papers with code

SAR-based landslide classification pretraining leads to better segmentation

1 code implementation17 Nov 2022 Vanessa Böhm, Wei Ji Leong, Ragini Bal Mahesh, Ioannis Prapas, Edoardo Nemni, Freddie Kalaitzis, Siddha Ganju, Raul Ramos-Pollan

In the case of landslides, rapid assessment involves determining the extent of the area affected and measuring the size and location of individual landslides.

Classification Landslide segmentation

Probabilistic Autoencoder

4 code implementations Under review 2020 Vanessa Böhm, Uroš Seljak

The PAE is fast and easy to train and achieves small reconstruction errors, high sample quality, and good performance in downstream tasks.

Bayesian Inference Denoising +5

Uncertainty Quantification with Generative Models

1 code implementation22 Oct 2019 Vanessa Böhm, François Lanusse, Uroš Seljak

We develop a generative model-based approach to Bayesian inverse problems, such as image reconstruction from noisy and incomplete images.

Image Reconstruction Uncertainty Quantification

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