35 citations · 143 across the 27 of their papers we have counts for
4 papers · 1 filter
Extraction of Nystagmus Patterns from Eye-Tracker Data with Convolutional Sparse Coding
Clément Lalanne, Maxence Rateaux, Laurent Oudre +2
The analysis of the Nystagmus waveforms from eye-tracking records is crucial for the clinicial interpretation of this pathological movement. A major issue to automatize this analys…
Learning to solve TV regularized problems with unrolled algorithms
Hamza Cherkaoui, Jeremias Sulam, Thomas Moreau
Total Variation (TV) is a popular regularization strategy that promotes piece-wise constant signals by constraining the -norm of the first order derivative of the estimated…
NeuMiss networks: differentiable programming for supervised learning with missing values
Marine Le Morvan, Julie Josse, Thomas Moreau +2
The presence of missing values makes supervised learning much more challenging. Indeed, previous work has shown that even when the response is a linear function of the complete dat…
Super-efficiency of automatic differentiation for functions defined as a minimum
Pierre Ablin, Gabriel Peyré, Thomas Moreau
In min-min optimization or max-min optimization, one has to compute the gradient of a function defined as a minimum. In most cases, the minimum has no closed-form, and an approxima…