Saturday, May 25, 2019

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

** Nuit Blanche is now on Twitter: @NuitBlog ** 



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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Saturday Morning Videos: IPAM Workshop IV: Deep Geometric Learning of Big Data and Applications (May 20 - 24, 2019)

** Nuit Blanche is now on Twitter: @NuitBlog **



Hat tip to Xavier for letting us know about these. Here are the videos and slides of Workshop IV: Deep Geometric Learning of Big Data and Applications, Part of the Long Program Geometry and Learning from Data in 3D and Beyond at IPAM. The workshop took place May 20 - 24, 2019. And thank you to the organizing committee (Xavier BressonYann LeCunStanley Osher, Rene Vidal, Rebecca Willett) for making this workshop happen !



Arthur Szlam (Facebook)



Soumith Chintala (Facebook AI Research)


Jeremias Sulam (Johns Hopkins University)


 
Marc Pollefeys (ETH Zurich)
Semantic 3D reconstruction 


 
Bahram Jalali (University of California, Los Angeles (UCLA))
Low Latency Deep Imaging Cytometry



Tom Goldstein (University of Maryland)


Hongyang Zhang (Carnegie Mellon University)

 
Roy Lederman (Yale University)


 
Xavier Bresson (Nanyang Technological University, Singapore)



Hamed Pirsiavash (University of Maryland Baltimore County)



Jian Tang (HEC Montréal)



Thomas Kipf (Universiteit van Amsterdam)



Jure Leskovec (Stanford University)
Deep Generative Models for Graphs: Methods & Applications



Mathias Niepert (NEC Laboratories Europe)

Federico Monti (Universita della Svizzera Italiana


 
Mikhail Belkin (Ohio State University)



Thiago Serra (Mitsubishi Electric Research Laboratories (Merl))


Rene Vidal (Johns Hopkins University)



Stanley Osher (University of California, Los Angeles (UCLA))



Srikumar Ramalingam (University of Utah)


Luc Van Gool (ETH Zurich)



Taco Cohen (Universiteit van Amsterdam)


Kostas Daniilidis (University of Pennsylvania)


Ersin Yumer (Uber ATG)




Follow @NuitBlog or join the CompressiveSensing Reddit, the Facebook page, the Compressive Sensing group on LinkedIn  or the Advanced Matrix Factorization group on LinkedIn

Liked this entry ? subscribe to Nuit Blanche's feed, there's more where that came from. You can also subscribe to Nuit Blanche by Email.

Other links:
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About LightOnNewsletter ||@LightOnIO|| on LinkedIn || on CrunchBase || our Blog
About myselfLightOn || Google Scholar || LinkedIn ||@IgorCarron ||Homepage||ArXiv

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