Collection Imaging and machine learning
April 1st-5th 2019, IHP https://imaging-in-paris.github.io/semester2019/workshop3/
Appears in collection : 2019 - T1 - The Mathematics of Imaging
Mathematics
and Interactions
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All the collection videos (30)
![A Kernel Perspective for Regularizing Deep Neural Networks]()
55:19published on May 7, 2019A Kernel Perspective for Regularizing Deep Neural Networks
By Julien Mairal
![Using structure to select features in high dimension]()
45:58published on May 7, 2019Using structure to select features in high dimension
By Chloé-Agathe Azencott
![Learning Representations for Information Obfuscation and Inference]()
45:57published on May 7, 2019Learning Representations for Information Obfuscation and Inference
By Guillermo Sapiro
![An SDCA-powered inexact dual augmented Lagrangian method for fast CRF learning]()
48:01published on May 7, 2019An SDCA-powered inexact dual augmented Lagrangian method for fast CRF learning
By Guillaume Obozinski
![Revisiting non-linear PCA with progressively grown autoencoders]()
30:02published on May 7, 2019Revisiting non-linear PCA with progressively grown autoencoders
By José Lezama
![Statistical inference in high-dimension and application to medical imaging]()
50:00published on May 9, 2019Statistical inference in high-dimension and application to medical imaging
By Bertrand Thirion
![Deep Inversion, Autoencoders for Learned Regularization of Inverse Problems]()
46:59published on May 9, 2019Deep Inversion, Autoencoders for Learned Regularization of Inverse Problems
By Christoph Brune
![Optimal machine learning with stochastic projections and regularization]()
44:42published on May 9, 2019Optimal machine learning with stochastic projections and regularization
By Lorenzo Rosasco
![Roto-Translation Covariant Convolutional Networks for Medical Image Analysis]()
51:43published on May 10, 2019Roto-Translation Covariant Convolutional Networks for Medical Image Analysis
By Remco Duits
![Unsupervised domain adaptation with application to urban scene analysis]()
52:34published on May 10, 2019Unsupervised domain adaptation with application to urban scene analysis
By Patrick Pérez
![Designing multimodal deep architectures for Visual Question Answering]()
50:11published on May 10, 2019Designing multimodal deep architectures for Visual Question Answering
By Matthieu Cord
![Towards demystifying over-parameterization in deep learning]()
43:47published on May 10, 2019Towards demystifying over-parameterization in deep learning
By Mahdi Soltanolkotabi
![Nonnegative matrix factorisation with the beta-divergence for robust hyperspectral unmixing]()
41:40published on May 10, 2019Nonnegative matrix factorisation with the beta-divergence for robust hyperspectral unmixing
By Cédric Févotte
![Autoencoder Image Generation with Multiscale Sparse Deconvolutions]()
55:15published on May 10, 2019Autoencoder Image Generation with Multiscale Sparse Deconvolutions
By Stéphane Mallat
![Learned image reconstruction for high-resolution tomographic imaging]()
43:31published on May 10, 2019Learned image reconstruction for high-resolution tomographic imaging
By Marta Betcke
![On the Global Convergence of Gradient Descent for Over-parameterized Models using Optimal Transport]()
01:00:52published on May 10, 2019On the Global Convergence of Gradient Descent for Over-parameterized Models using Optimal Transport
By Francis Bach
![L’intelligence Artificielle est-elle Logique ou Géométrique ?]()
01:12:01published on May 9, 2019L’intelligence Artificielle est-elle Logique ou Géométrique ?
By Stéphane Mallat
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