1 code implementation • 3 May 2023 • Zhen Wei, Pascal Fua, Michaël Bauerheim
The Latent Space Model (LSM) learns a low-dimensional latent representation of an object from a dataset of various geometries, while the Direct Mapping Model (DMM) builds parameterization on the fly using only one geometry of interest.
1 code implementation • 20 Sep 2021 • Ekhi Ajuria Illarramendi, Michaël Bauerheim, Bénédicte Cuenot
To circumvent this issue, a hybrid strategy is developed, which couples a CNN with a traditional iterative solver to ensure a user-defined accuracy level.
1 code implementation • 12 May 2021 • Wagner Gonçalves Pinto, Antonio Alguacil, Michaël Bauerheim
Reproducibility of a deep-learning fully convolutional neural network is evaluated by training several times the same network on identical conditions (database, hyperparameters, hardware) with non-deterministic Graphics Processings Unit (GPU) operations.
