Today @JulianTachella, Matthieu Terris, Dongdon Chen, and Samuel Hurault gave an introduction to Deepinverse library at #DIPOpt workshop.
#inverseproblems #ComputationalImaging #deeplearning

Highlights of poster presentation session, third day of #DIPOpt.
1) Learning to Reconstruct from Binary Measurements Alone, by Julian Tachella and @lowrankjack
2) Multilevel FISTA for Image Restoration, by Guillaume Lauga, Elissa Riccietti, Nelly Pustelnik, and Paulo Goncalves
3) Learning to Reconstruct from Saturated Signals Alone, by Victor Sechaud, Patrice Abry, and Julian Tachella

Highlights of poster presentation session, second day of #DIPOpt workshop.
1) Continuous Lippmann-Schwinger Intensity Diffraction Tomography, by Olivier Leblanc, @kmlv, and @lowrankjack.
2) Deepinverse Python Library, by Julian Tachella, Dongdong Chen, Samuel Hurault and Matthieu Terris.
#inverseproblems, #computationalimaging

The last talk of the second day of #DIPOpt, by Remi Grinonval, “Rapture of the deep: highs and lows of sparsity in a world of depths”.
#Sparsity #inverseproblems

Next speaker is Mike Davies talking about “Unsupervised Machine Imaging: when is data driven knowledge discovery really possible?”
#DIPOpt #inverseproblems #machinelearning #ComputationalImaging #CompressedSensing

An excellent talk by Dirk Lorenz, “Learning regularisers - bilevel optimisation or unrolling?” at #DIPOpt workshop, #Lyon.
#inverseproblems #optimisation #regularisation