Bas Peters

Michael Solomon

CoRR, May, 2025

2024

Paired autoencoders for likelihood-free estimation in inverse problems.

[BibT_eX]

[DOI]

Mach. Learn. Sci. Technol., 2024

InvertibleNetworks.jl: A Julia package for scalable normalizing flows.

[BibT_eX]

[DOI]

J. Open Source Softw., 2024

Fully invertible hyperbolic neural networks for segmenting large-scale surface and sub-surface data.

[BibT_eX]

[DOI]

CoRR, 2024

Paired Autoencoders for Inverse Problems.

[BibT_eX]

[DOI]

CoRR, 2024

2023

CQnet: convex-geometric interpretation and constraining neural-network trajectories.

[BibT_eX]

[DOI]

CoRR, 2023

2020

Point-to-set distance functions for weakly supervised segmentation.

[BibT_eX]

[DOI]

CoRR, 2020

Deep connections between learning from limited labels & physical parameter estimation - inspiration for regularization.

[BibT_eX]

[DOI]

CoRR, 2020

Fully reversible neural networks for large-scale surface and sub-surface characterization via remote sensing.

[BibT_eX]

[DOI]

CoRR, 2020

2019

Symmetric block-low-rank layers for fully reversible multilevel neural networks.

[BibT_eX]

[DOI]

CoRR, 2019

Fully Hyperbolic Convolutional Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2019

Neural-networks for geophysicists and their application to seismic data interpretation.

[BibT_eX]

[DOI]

Justin Granek

CoRR, 2019

Generalized Minkowski sets for the regularization of inverse problems.

[BibT_eX]

[DOI]

Felix J. Herrmann

CoRR, 2019

Algorithms and software for projections onto intersections of convex and non-convex sets with applications to inverse problems.

[BibT_eX]

[DOI]

Felix J. Herrmann

CoRR, 2019

Automatic classification of geologic units in seismic images using partially interpreted examples.

[BibT_eX]

[DOI]

Justin Granek

CoRR, 2019

2018

Multi-resolution neural networks for tracking seismic horizons from few training images.

[BibT_eX]

[DOI]

Justin Granek