2 citations · 4 across the 5 of their papers we have counts for
5 papers
Adaptive scaling of the learning rate by second order automatic differentiation
Frédéric de Gournay, Alban Gossard
In the context of the optimization of Deep Neural Networks, we propose to rescale the learning rate using a new technique of automatic differentiation. This technique relies on the…
Bayesian Optimization of Sampling Densities in MRI
Alban Gossard, Frédéric de Gournay, Pierre Weiss
Data-driven optimization of sampling patterns in MRI has recently received a significant attention.Following recent observations on the combinatorial number of minimizers in off-th…
Spurious minimizers in non uniform Fourier sampling optimization
Frédéric de Gournay, Alban Gossard, Pierre Weiss
A recent trend in the signal/image processing literature is the optimization of Fourier sampling schemes for specific datasets of signals. In this paper, we explain why choosing op…
Training Adaptive Reconstruction Networks for Blind Inverse Problems
Alban Gossard, Pierre Weiss
Neural networks allow solving many ill-posed inverse problems with unprecedented performance. Physics informed approaches already progressively replace carefully hand-crafted recon…
Off-the-grid data-driven optimization of sampling schemes in MRI
Alban Gossard, Frédéric de Gournay, Pierre Weiss
We propose a novel learning based algorithm to generate efficient and physically plausible sampling patterns in MRI. This method has a few advantages compared to recent learning ba…