Collection 2019 - T1 - WS3 - Imaging and machine learning
Apparaît dans la collection : 2019 - T1 - The Mathematics of Imaging
Date(s) 01/04/2019 - 05/04/2019
Mathématiques
et Interactions
Date(s) 01/04/2019 - 05/04/2019
-
Toutes les vidéos de la collection (30)
![Learning Representations for Information Obfuscation and Inference]()
45:57publiée le 7 mai 2019Learning Representations for Information Obfuscation and Inference
De Guillermo Sapiro
![An SDCA-powered inexact dual augmented Lagrangian method for fast CRF learning]()
48:01publiée le 7 mai 2019An SDCA-powered inexact dual augmented Lagrangian method for fast CRF learning
De Guillaume Obozinski
![Revisiting non-linear PCA with progressively grown autoencoders]()
30:02publiée le 7 mai 2019Revisiting non-linear PCA with progressively grown autoencoders
De José Lezama
![Statistical inference in high-dimension and application to medical imaging]()
50:00publiée le 9 mai 2019Statistical inference in high-dimension and application to medical imaging
De Bertrand Thirion
![Deep Inversion, Autoencoders for Learned Regularization of Inverse Problems]()
46:59publiée le 9 mai 2019Deep Inversion, Autoencoders for Learned Regularization of Inverse Problems
De Christoph Brune
![Optimal machine learning with stochastic projections and regularization]()
44:42publiée le 9 mai 2019Optimal machine learning with stochastic projections and regularization
De Lorenzo Rosasco
![Roto-Translation Covariant Convolutional Networks for Medical Image Analysis]()
51:43publiée le 10 mai 2019Roto-Translation Covariant Convolutional Networks for Medical Image Analysis
De Remco Duits
![Unsupervised domain adaptation with application to urban scene analysis]()
52:34publiée le 10 mai 2019Unsupervised domain adaptation with application to urban scene analysis
De Patrick Pérez
![Designing multimodal deep architectures for Visual Question Answering]()
50:11publiée le 10 mai 2019Designing multimodal deep architectures for Visual Question Answering
De Matthieu Cord
![Towards demystifying over-parameterization in deep learning]()
43:47publiée le 10 mai 2019Towards demystifying over-parameterization in deep learning
De Mahdi Soltanolkotabi
![Nonnegative matrix factorisation with the beta-divergence for robust hyperspectral unmixing]()
41:40publiée le 10 mai 2019Nonnegative matrix factorisation with the beta-divergence for robust hyperspectral unmixing
De Cédric Févotte
![Autoencoder Image Generation with Multiscale Sparse Deconvolutions]()
55:15publiée le 10 mai 2019Autoencoder Image Generation with Multiscale Sparse Deconvolutions
De Stéphane Mallat
![Learned image reconstruction for high-resolution tomographic imaging]()
43:31publiée le 10 mai 2019Learned image reconstruction for high-resolution tomographic imaging
De Marta Betcke
![On the Global Convergence of Gradient Descent for Over-parameterized Models using Optimal Transport]()
01:00:52publiée le 10 mai 2019On the Global Convergence of Gradient Descent for Over-parameterized Models using Optimal Transport
De Francis Bach
![L’intelligence Artificielle est-elle Logique ou Géométrique ?]()
01:12:01publiée le 9 mai 2019L’intelligence Artificielle est-elle Logique ou Géométrique ?
De Stéphane Mallat
