most citedSolving inverse problems with deep neural networks driven by sparse signal decomposition in a physics-based dictionary

2 citations · 2 across the 3 of their papers we have counts for

collaborators

3 papers

math.OC2021

Optimal Control for Linear Networked Control Systems with Information Transmission Constraints

Antoine Aspeel, Kwesi Rutledge, Raphaël M. Jungers +2

This paper addresses the problem of robust control of a linear discrete-time system subject to bounded disturbances and to measurement and control budget constraints. Using Q-param…

cs.LG2021★ 2 cited

Solving inverse problems with deep neural networks driven by sparse signal decomposition in a physics-based dictionary

Gaetan Rensonnet, Louise Adam, Benoit Macq

Deep neural networks (DNN) have an impressive ability to invert very complex models, i.e. to learn the generative parameters from a model's output. Once trained, the forward pass o…

eess.IV2020

Prognostic Power of Texture Based Morphological Operations in a Radiomics Study for Lung Cancer

Paul Desbordes, Diksha, Benoit Macq

The importance of radiomics features for predicting patient outcome is now well-established. Early study of prognostic features can lead to a more efficient treatment personalisati…