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09/22/2022
Turning Normalizing Flows into Monge Maps with Geodesic Gaussian Preserving Flows
Normalizing Flows (NF) are powerful likelihood-based generative models t...
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07/25/2020
Learning Variational Data Assimilation Models and Solvers
This paper addresses variational data assimilation from a learning point...
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06/05/2020
Joint learning of variational representations and solvers for inverse problems with partially-observed data
Designing appropriate variational regularization schemes is a crucial pa...
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01/26/2020
Abdominal multi-organ segmentation with cascaded convolutional and adversarial deep networks
Objective : Abdominal anatomy segmentation is crucial for numerous appli...
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10/01/2019
End-to-end learning of energy-based representations for irregularly-sampled signals and images
For numerous domains, including for instance earth observation, medical ...
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02/11/2019
Global Perturbation of Initial Geometry in a Biomechanical Model of Cortical Morphogenesis
Cortical folding pattern is a main characteristic of the geometry of the...
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05/24/2018