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Philippe Ciuciu

2 accepted papers

2022

SHINE: SHaring the INverse Estimate from the forward pass for bi-level optimization and implicit models

ICLR 2022spotlight

In recent years, implicit deep learning has emerged as a method to increase the depth of deep neural networks. While their training is memory-efficient, they are still significantly slower to train than their explicit counterparts. In Deep Equilibrium Models~(DEQs), the training is performed as a bi…

Cited by 35SourcePDFScholar
2019

Sparsity-based Blind Deconvolution of Neural Activation Signal in FMRI

ICASSP 2019accepted

The estimation of the hemodynamic response function (HRF) in functional magnetic resonance imaging (fMRI) is critical to deconvolve a time-resolved neural activity and get insights on the underlying cognitive processes. Existing methods propose to estimate the HRF using the experimental paradigm (EP…

Cited by 0SourceScholar