Christian Wald

Orcid: 0000-0003-2373-9492

According to our database1, Christian Wald authored at least 12 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Links

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Bibliography

2024
Neural Sampling from Boltzmann Densities: Fisher-Rao Curves in the Wasserstein Geometry.
CoRR, 2024

Conditional Wasserstein Distances with Applications in Bayesian OT Flow Matching.
CoRR, 2024

Sparse additive function decompositions facing basis transforms.
CoRR, 2024

Generative Sliced MMD Flows with Riesz Kernels.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Y-Diagonal Couplings: Approximating Posteriors with Conditional Wasserstein Distances.
CoRR, 2023

A Study of Particle Motion in the Presence of Clusters.
CoRR, 2023

2022
Convolutional Analysis Operator Learning by End-to-End Training of Iterative Neural Networks.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Convolutional Dictionary Learning by End-To-End Training of Iterative Neural Networks.
Proceedings of the 30th European Signal Processing Conference, 2022

2020
Spatio-Temporal Deep Learning-Based Undersampling Artefact Reduction for 2D Radial Cine MRI With Limited Training Data.
IEEE Trans. Medical Imaging, 2020

Amplitude Modulation in a Molecular Communication Testbed with Superparamagnetic Iron Oxide Nanoparticles and a Micropump.
Proceedings of the Body Area Networks. Smart IoT and Big Data for Intelligent Health, 2020

2019
Neural Networks-based Regularization of Large-Scale Inverse Problems in Medical Imaging.
CoRR, 2019

Spatio-Temporal Deep Learning-Based Undersampling Artefact Reduction for 2D Radial Cine MRI with Limited Data.
CoRR, 2019


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