Imaging Brain Activation Streams from Optical Flow Computation on 2-Riemannian Manifolds. - Julien Lefèvre; Guillaume Obozinski; Sylvain Baillet (IPMI, 2007)

Union support recovery in high-dimensional multivariate regression. - Guillaume Obozinski; Martin J. Wainwright; Michael I. Jordan (Allerton, 2008)

High-dimensional support union recovery in multivariate regression. - Guillaume Obozinski; Martin J. Wainwright; Michael I. Jordan (NIPS, 2008)

Group lasso with overlap and graph lasso. - Laurent Jacob; Guillaume Obozinski; Jean-Philippe Vert (ICML, 2009)

Proximal Methods for Sparse Hierarchical Dictionary Learning. - Rodolphe Jenatton; Julien Mairal; Guillaume Obozinski; Francis R. Bach (ICML, 2010)

Network Flow Algorithms for Structured Sparsity. - Julien Mairal; Rodolphe Jenatton; Guillaume Obozinski; Francis R. Bach (NIPS, 2010)

Structured Sparse Principal Component Analysis. - Rodolphe Jenatton; Guillaume Obozinski; Francis R. Bach (AISTATS, 2010)

Joint covariate selection and joint subspace selection for multiple classification problems. - Guillaume Obozinski; Ben Taskar; Michael I. Jordan (Stat. Comput., 2010)

Trace Lasso: a trace norm regularization for correlated designs. - Edouard Grave; Guillaume Obozinski; Francis R. Bach (NIPS, 2011)

Multi-scale Mining of fMRI Data with Hierarchical Structured Sparsity. - Rodolphe Jenatton; Alexandre Gramfort; Vincent Michel; Guillaume Obozinski; Francis R. Bach; Bertrand Thirion (PRNI, 2011)

Structured sparsity through convex optimization - Francis R. Bach; Rodolphe Jenatton; Julien Mairal; Guillaume Obozinski (CoRR, 2011)

Group Lasso with Overlaps: the Latent Group Lasso approach - Guillaume Obozinski; Laurent Jacob; Jean-Philippe Vert (CoRR, 2011)

Learning Hierarchical and Topographic Dictionaries with Structured Sparsity - Julien Mairal; Rodolphe Jenatton; Guillaume Obozinski; Francis R. Bach (CoRR, 2011)

Proximal Methods for Hierarchical Sparse Coding. - Rodolphe Jenatton; Julien Mairal; Guillaume Obozinski; Francis R. Bach (J. Mach. Learn. Res., 2011)

Convex and Network Flow Optimization for Structured Sparsity. - Julien Mairal; Rodolphe Jenatton; Guillaume Obozinski; Francis R. Bach (J. Mach. Learn. Res., 2011)

On the Equivalence between Herding and Conditional Gradient Algorithms. - Francis R. Bach; Simon Lacoste-Julien; Guillaume Obozinski (ICML, 2012)

A latent factor model for highly multi-relational data. - Rodolphe Jenatton; Nicolas Le Roux; Antoine Bordes; Guillaume Obozinski (NIPS, 2012)

Convex Relaxation for Combinatorial Penalties - Guillaume Obozinski; Francis R. Bach (CoRR, 2012)

Optimization with Sparsity-Inducing Penalties. - Francis R. Bach; Rodolphe Jenatton; Julien Mairal; Guillaume Obozinski (Found. Trends Mach. Learn., 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)

Hidden Markov tree models for semantic class induction. - Edouard Grave; Guillaume Obozinski; Francis R. Bach (CoNLL, 2013)

Domain adaptation for sequence labeling using hidden Markov models. - Edouard Grave; Guillaume Obozinski; Francis R. Bach (CoRR, 2013)

Beyond Procedural Facade Parsing: Bidirectional Alignment via Linear Programming. - Mateusz Kozinski; Guillaume Obozinski; Renaud Marlet (ACCV (4), 2014)

A Markovian approach to distributional semantics with application to semantic compositionality. - Edouard Grave; Guillaume Obozinski; Francis R. Bach (COLING, 2014)

Tight convex relaxations for sparse matrix factorization. - Emile Richard; Guillaume Obozinski; Jean-Philippe Vert (NIPS, 2014)

Continuously indexed Potts models on unoriented graphs. - Loïc Landrieu; Guillaume Obozinski (UAI, 2014)

A MRF shape prior for facade parsing with occlusions. - Mateusz Kozinski; Raghudeep Gadde; Sergey Zagoruyko; Guillaume Obozinski; Renaud Marlet (CVPR, 2015)

Cut Pursuit: Fast Algorithms to Learn Piecewise Constant Functions. - Loïc Landrieu; Guillaume Obozinski (AISTATS, 2016)

Learning and Calibrating Per-Location Classifiers for Visual Place Recognition. - Petr Gronát; Josef Sivic; Guillaume Obozinski; Tomás Pajdla (Int. J. Comput. Vis., 2016)

Fast column generation for atomic norm regularization. - Marina Vinyes; Guillaume Obozinski (AISTATS, 2017)

Cut Pursuit: Fast Algorithms to Learn Piecewise Constant Functions on General Weighted Graphs. - Loïc Landrieu; Guillaume Obozinski (SIAM J. Imaging Sci., 2017)

SDCA-Powered Inexact Dual Augmented Lagrangian Method for Fast CRF Learning. - Xu Hu; Guillaume Obozinski (AISTATS, 2018)

Canonical Tensor Decomposition for Knowledge Base Completion. - Timothée Lacroix; Nicolas Usunier; Guillaume Obozinski (ICML, 2018)

Learning the effect of latent variables in Gaussian Graphical models with unobserved variables. - Marina Vinyes; Guillaume Obozinski (CoRR, 2018)

Fast Algorithms for Sparse Reduced-Rank Regression. - Benjamin Dubois; Jean-François Delmas; Guillaume Obozinski (AISTATS, 2019)

Empirical Bayes Transductive Meta-Learning with Synthetic Gradients. - Shell Xu Hu; Pablo Garcia Moreno; Yang Xiao 009; Xi Shen 001; Guillaume Obozinski; Neil D. Lawrence; Andreas C. Damianou (ICLR, 2020)

Tensor Decompositions for Temporal Knowledge Base Completion. - Timothée Lacroix; Guillaume Obozinski; Nicolas Usunier (ICLR, 2020)

Integer Programming on the Junction Tree Polytope for Influence Diagrams. - Axel Parmentier; Victor Cohen; Vincent Leclère; Guillaume Obozinski; Joseph Salmon (INFORMS J. Optim., 2020)

Robust detection and attribution of climate change under interventions. - Enikö Székely; Sebastian Sippel; Nicolai Meinshausen; Guillaume Obozinski; Reto Knutti (CoRR, 2022)

Optirank: classification for RNA-Seq data with optimal ranking reference genes. - Paola Malsot; Filipe Martins; Didier Trono; Guillaume Obozinski (CoRR, 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)

Efficient algorithms for regularized Poisson Non-negative Matrix Factorization. - Nathanaël Perraudin; Adrien Teutrie; Cécile Hébert; Guillaume Obozinski (CoRR, 2024)

Ensemble learning and ground-truth validation of synaptic connectivity inferred from spike trains. - Christian Donner; Julian Bartram; Philipp Hornauer; Taehoon Kim; Damian Roqueiro; Andreas Hierlemann; Guillaume Obozinski; Manuel S. Schröter (PLoS Comput. Biol., 2024)

Efficient distributional regression trees learning algorithms for calibrated non-parametric probabilistic forecasts. - Quentin Duchemin; Guillaume Obozinski (CoRR, 2025)