Deep Learning

ANTIPASTI: interpretable prediction of antibody binding affinity exploiting Normal Modes and Deep Learning
Kevin Michalewicz, Mauricio Barahona, Barbara Bravi
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ANTIPASTI
ANTIPASTI is a Python Deep Learning method that predicts the binding affinity of antibodies from their three-dimensional structure.
Code Website Paper (Michalewicz et al. 2023)
Deep Learning-based galaxy image deconvolution
Utsav Akhaury, Jean-Luc Starck, Pascale Jablonka, Frédéric Courbin, Kevin Michalewicz
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Wavelets in the deep learning era
The aim of our study is to push the limits of sparsity to use, similarly to U-nets, massive learning and large datasets, and then to compare the results with U-nets.
Zaccharie Ramzi, Kevin Michalewicz, Jean-Luc Starck, Thomas Moreau, Philippe Ciuciu
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Everyday life audio stream detector
Model for domestic sounds classification. Third year project of the engineering degree at IMT Atlantique.
Code
Learnlets
Comparison between Learnlets, a neural network that learns filter banks in a denoising setting with backpropagation and gradient descent, and U-nets.
Code Paper (Ramzi et al. 2022) Paper (Akhaury et al. 2022)