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Saturday Morning Videos: Imaging and Machine Learning Workshop, @IHP Paris, April 1st – 5th , 2019

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This is the third Workshop «Imaging and Machine Learning» within the Mathematics of Imaging series organized in Paris this semester (videos of Workshop 1 are here, videos of Workshop 2 are here)

Structured prediction via implicit embeddings - Alessandro Rudi - Workshop 3 - CEB T1 2019


A Kernel Perspective for Regularizing Deep Neural Networks - Julien Mairal - Workshop 3 - CEB T1 2019

Optimization meets machine learning for neuroimaging - Alexandre Gramfort - Workshop 3 - CEB T1 2019

Random Matrix Advances in Machine Learning - Romain Couillet - Workshop 3 - CEB T1 2019

Iterative regularization via dual diagonal descent - Silvia Villa - Workshop 3 - CEB T1 2019

Scalable hyperparameter transfer learning - Valerio Perrone - Workshop 3 - CEB T1 2019

Using structure to select features in high dimension. - Chloe-Agathe Azencott - Workshop 3 - CEB T1 2019

Predicting aesthetic appreciation of images. - Naila Murray - Workshop 3 - CEB T1 2019

Learning Representations for Information Obfuscation (...) - Guillermo Sapiro - Workshop 3 - CEB T1 2019

Convex unmixing and learning the effect of latent (...) - Guillaume Obozinski - Workshop 3 - CEB T1 2019

Revisiting non-linear PCA with progressively grown autoencoders. - José Lezama - Workshop 3 - CEB T1 2019

On the several ways to regularize optimal transport. - Marco Cuturi - Workshop 3 - CEB T1 2019

Combinatorial Solutions to Elastic Shape Matching. - Daniel Cremers - Workshop 3 - CEB T1 2019

L’intelligence Artificielle est-elle Logique ou Géométrique ? - Stephane Mallat - Grand Public -CEB T1 2019

Rank optimality for the Burer-Monteiro factorization - Irène Waldspurger - Workshop 3 - CEB T1 2019

Bayesian inversion for tomography through machine learning. - Ozan Öktem - Workshop 3 - CEB T1 2019

Understanding geometric attributes with autoencoders. - Alasdair Newson - Workshop 3 - CEB T1 2019

Multigrain: a unified image embedding for classes (...) - Bertrand Thirion - Workshop 3 - CEB T1 2019

Deep Inversion, Autoencoders for Learned Regularization (...) - Christoph Brune - Workshop 3 - CEB T1 2019

Optimal machine learning with stochastic projections (...) - Lorenzo Rosasco - Workshop 3 - CEB T1 2019

Roto-Translation Covariant Convolutional Networks for (...) - Remco Duits - Workshop 3 - CEB T1 2019

Unsupervised domain adaptation with application to urban (...) - Patrick Pérez - Workshop 3 - CEB T1 2019

Designing multimodal deep architectures for Visual Question (...) - Matthieu Cord - Workshop 3 - CEB T1 2019

Towards demystifying over-parameterization in deep (...) - Mahdi Soltanolkotabi - Workshop 3 - CEB T1 2019

Nonnegative matrix factorisation with the beta-divergence (...) - Cédric Févotte - Workshop 3 -CEB T1 2019

Autoencoder Image Generation with Multiscale Sparse (...) - Stéphane Mallat - Workshop 3 - CEB T1 2019

Learning from permutations. - Jean-Philippe Vert - Workshop 3 - CEB T1 2019

Learned image reconstruction for high-resolution (...) - Marta Betcke - Workshop 3 - CEB T1 2019

Contextual Bandit: from Theory to Applications. - Claire Vernade - Workshop 3 - CEB T1 2019


On the Global Convergence of Gradient Descent for (...) - Francis Bach - Workshop 3 - CEB T1 2019



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Nuit Blanche http://bit.ly/2YOKLNi May 25, 2019 at 08:11PM
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