Guillaume Obozinski

According to our database, Guillaume Obozinski authored at least 41 papers between 2007 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

An evaluation of deep learning models for predicting water depth evolution in urban floods.

Stefania Russo, Nathanaël Perraudin, Steven Stalder, Fernando Pérez-Cruz, João Paulo Leitão, Guillaume Obozinski, Jan Dirk Wegner

CoRR, 2023

Optirank: classification for RNA-Seq data with optimal ranking reference genes.

Paola Malsot, Filipe Martins, Didier Trono, Guillaume Obozinski

CoRR, 2023

2022

Robust detection and attribution of climate change under interventions.

Enikö Székely, Sebastian Sippel, Nicolai Meinshausen, Guillaume Obozinski, Reto Knutti

CoRR, 2022

2020

Integer Programming on the Junction Tree Polytope for Influence Diagrams.

Axel Parmentier, Victor Cohen, Vincent Leclère, Guillaume Obozinski, Joseph Salmon

INFORMS J. Optim., July, 2020

Tensor Decompositions for Temporal Knowledge Base Completion.

Timothée Lacroix, Guillaume Obozinski, Nicolas Usunier

Proceedings of the 8th International Conference on Learning Representations, 2020

Empirical Bayes Transductive Meta-Learning with Synthetic Gradients.

Shell Xu Hu, Pablo Garcia Moreno, Yang Xiao, Xi Shen, Guillaume Obozinski, Neil D. Lawrence, Andreas C. Damianou

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Fast Algorithms for Sparse Reduced-Rank Regression.

Benjamin Dubois, Jean-François Delmas, Guillaume Obozinski

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Learning the effect of latent variables in Gaussian Graphical models with unobserved variables.

Marina Vinyes, Guillaume Obozinski

CoRR, 2018

Canonical Tensor Decomposition for Knowledge Base Completion.

Timothée Lacroix, Nicolas Usunier, Guillaume Obozinski

Proceedings of the 35th International Conference on Machine Learning, 2018

SDCA-Powered Inexact Dual Augmented Lagrangian Method for Fast CRF Learning.

Xu Hu, Guillaume Obozinski

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

Cut Pursuit: Fast Algorithms to Learn Piecewise Constant Functions on General Weighted Graphs.

Loïc Landrieu, Guillaume Obozinski

SIAM J. Imaging Sci., 2017

Fast column generation for atomic norm regularization.

Marina Vinyes, Guillaume Obozinski

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016

Learning and Calibrating Per-Location Classifiers for Visual Place Recognition.

Petr Gronát, Josef Sivic, Guillaume Obozinski, Tomás Pajdla

Int. J. Comput. Vis., 2016

Cut Pursuit: Fast Algorithms to Learn Piecewise Constant Functions.

Loïc Landrieu, Guillaume Obozinski

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015

A MRF shape prior for facade parsing with occlusions.

Mateusz Kozinski, Raghudeep Gadde, Sergey Zagoruyko, Guillaume Obozinski, Renaud Marlet

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

Continuously indexed Potts models on unoriented graphs.

Loïc Landrieu, Guillaume Obozinski

Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014

Tight convex relaxations for sparse matrix factorization.

Emile Richard, Guillaume Obozinski, Jean-Philippe Vert

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

A Markovian approach to distributional semantics with application to semantic compositionality.

Edouard Grave, Guillaume Obozinski, Francis R. Bach

Proceedings of the COLING 2014, 2014

Beyond Procedural Facade Parsing: Bidirectional Alignment via Linear Programming.

Mateusz Kozinski, Guillaume Obozinski, Renaud Marlet

Proceedings of the Computer Vision - ACCV 2014, 2014

2013

Domain adaptation for sequence labeling using hidden Markov models.

Edouard Grave, Guillaume Obozinski, Francis R. Bach

CoRR, 2013

Hidden Markov tree models for semantic class induction.

Edouard Grave, Guillaume Obozinski, Francis R. Bach

Proceedings of the Seventeenth Conference on Computational Natural Language Learning, 2013

2012

Multiscale Mining of fMRI Data with Hierarchical Structured Sparsity.

Rodolphe Jenatton, Alexandre Gramfort, Vincent Michel, Guillaume Obozinski, Evelyn Eger, Francis R. Bach, Bertrand Thirion

SIAM J. Imaging Sci., 2012

Optimization with Sparsity-Inducing Penalties.

Francis R. Bach, Rodolphe Jenatton, Julien Mairal, Guillaume Obozinski

Found. Trends Mach. Learn., 2012

Convex Relaxation for Combinatorial Penalties

Guillaume Obozinski, Francis R. Bach

CoRR, 2012

A latent factor model for highly multi-relational data.

Rodolphe Jenatton, Nicolas Le Roux, Antoine Bordes, Guillaume Obozinski

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

On the Equivalence between Herding and Conditional Gradient Algorithms.

Francis R. Bach, Simon Lacoste-Julien, Guillaume Obozinski

Proceedings of the 29th International Conference on Machine Learning, 2012

2011

Convex and Network Flow Optimization for Structured Sparsity.

Julien Mairal, Rodolphe Jenatton, Guillaume Obozinski, Francis R. Bach

J. Mach. Learn. Res., 2011

Proximal Methods for Hierarchical Sparse Coding.

Rodolphe Jenatton, Julien Mairal, Guillaume Obozinski, Francis R. Bach

J. Mach. Learn. Res., 2011

Learning Hierarchical and Topographic Dictionaries with Structured Sparsity

Julien Mairal, Rodolphe Jenatton, Guillaume Obozinski, Francis R. Bach

CoRR, 2011

Group Lasso with Overlaps: the Latent Group Lasso approach

Guillaume Obozinski, Laurent Jacob, Jean-Philippe Vert

CoRR, 2011

Structured sparsity through convex optimization

Francis R. Bach, Rodolphe Jenatton, Julien Mairal, Guillaume Obozinski

CoRR, 2011

Multi-scale Mining of fMRI Data with Hierarchical Structured Sparsity.

Rodolphe Jenatton, Alexandre Gramfort, Vincent Michel, Guillaume Obozinski, Francis R. Bach, Bertrand Thirion

Proceedings of the 2011 International Workshop on Pattern Recognition in NeuroImaging, 2011

Trace Lasso: a trace norm regularization for correlated designs.

Edouard Grave, Guillaume Obozinski, Francis R. Bach

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

2010

Joint covariate selection and joint subspace selection for multiple classification problems.

Guillaume Obozinski, Ben Taskar, Michael I. Jordan

Stat. Comput., 2010

Structured Sparse Principal Component Analysis.

Rodolphe Jenatton, Guillaume Obozinski, Francis R. Bach

Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Network Flow Algorithms for Structured Sparsity.

Julien Mairal, Rodolphe Jenatton, Guillaume Obozinski, Francis R. Bach

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Proximal Methods for Sparse Hierarchical Dictionary Learning.

Rodolphe Jenatton, Julien Mairal, Guillaume Obozinski, Francis R. Bach

Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

2009

Group lasso with overlap and graph lasso.

Laurent Jacob, Guillaume Obozinski, Jean-Philippe Vert

Proceedings of the 26th Annual International Conference on Machine Learning, 2009

2008

High-dimensional support union recovery in multivariate regression.

Guillaume Obozinski, Martin J. Wainwright, Michael I. Jordan

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Union support recovery in high-dimensional multivariate regression.

Guillaume Obozinski, Martin J. Wainwright, Michael I. Jordan

Proceedings of the 46th Annual Allerton Conference on Communication, 2008

2007

Imaging Brain Activation Streams from Optical Flow Computation on 2-Riemannian Manifolds.

Julien Lefèvre, Guillaume Obozinski, Sylvain Baillet

Proceedings of the Information Processing in Medical Imaging, 2007