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Joan Bruna "Learning Graph Inverse Problems with Neural Networks"
Deep Inversion, Autoencoders for Learned Regularization (...) - Brune - Workshop 3 - CEB T1 2019
Joan Bruna: "On Sparse Linear Programming and (simple) neural networks"
On Large Deviation Principles for Large Neural Networks - Joan Bruna
Joan Bruna: Convolutional Neural Networks against the Curse of Dimensionality
One Network to Solve Them All — Solving Linear Inverse Problems using Deep Projection Models
Matti Lassas: "New deep neural networks solving non-linear inverse problems"
Mathematical aspects of neural network approximation and learning by Joan Bruna
(SAIF 2019) Day 2 : Geometric Deep Learning For Forecasting And Semi- Surevised Learning Joan Bruna
ICLR14: J Bruna: Spectral Networks and Locally Connected Networks on Graphs
Stéphane Mallat: "Deep Generative Networks as Inverse Problems"
Joan Bruna: On the Optimization Landscape of Neural Networks
