Guillaume Obozinski

55 papers A* 8A 6B 2Journal 30Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Efficient distributional regression trees learning algorithms for calibrated non-parametric probabilistic forecasts. CoRR Quentin Duchemin, Guillaume Obozinski
2024	J	`jnl`	Efficient algorithms for regularized Poisson Non-negative Matrix Factorization. CoRR Nathanaël Perraudin, Adrien Teutrie, Cécile Hébert, Guillaume Obozinski
2024	J	`jnl`	Ensemble learning and ground-truth validation of synaptic connectivity inferred from spike trains. PLoS Comput. Biol. Christian Donner, Julian Bartram, Philipp Hornauer, Taehoon Kim, Damian Roqueiro, Andreas Hierlemann, Guillaume Obozinski, Manuel S. Schröter
2024	J	`jnl`	From STEM-EDXS data to phase separation and quantification using physics-guided NMF. Mach. Learn. Sci. Technol. Adrien Teurtrie, Nathanaël Perraudin, Thomas Holvoet, Hui Chen, Duncan T. L. Alexander, Guillaume Obozinski, Cécile Hébert
2023	J	`jnl`	An evaluation of deep learning models for predicting water depth evolution in urban floods. CoRR Stefania Russo, Nathanaël Perraudin, Steven Stalder, Fernando Pérez-Cruz, João Paulo Leitão, Guillaume Obozinski, Jan Dirk Wegner
2023	J	`jnl`	Optirank: classification for RNA-Seq data with optimal ranking reference genes. CoRR Paola Malsot, Filipe Martins, Didier Trono, Guillaume Obozinski
2022	J	`jnl`	Robust detection and attribution of climate change under interventions. CoRR Enikö Székely, Sebastian Sippel, Nicolai Meinshausen, Guillaume Obozinski, Reto Knutti
2020	A*	`conf`	Empirical Bayes Transductive Meta-Learning with Synthetic Gradients. ICLR Shell Xu Hu, Pablo Garcia Moreno, Yang Xiao, Xi Shen, Guillaume Obozinski, Neil D. Lawrence, Andreas C. Damianou
2020	J	`jnl`	Empirical Bayes Transductive Meta-Learning with Synthetic Gradients. CoRR Shell Xu Hu, Pablo Garcia Moreno, Yang Xiao, Xi Shen, Guillaume Obozinski, Neil D. Lawrence, Andreas C. Damianou
2020	J	`jnl`	Integer Programming on the Junction Tree Polytope for Influence Diagrams. INFORMS J. Optim. Axel Parmentier, Victor Cohen, Vincent Leclère, Guillaume Obozinski, Joseph Salmon
2020	A*	`conf`	Tensor Decompositions for Temporal Knowledge Base Completion. ICLR Timothée Lacroix, Guillaume Obozinski, Nicolas Usunier
2020	J	`jnl`	Tensor Decompositions for temporal knowledge base completion. CoRR Timothée Lacroix, Guillaume Obozinski, Nicolas Usunier
2019	A	`conf`	Fast Algorithms for Sparse Reduced-Rank Regression. AISTATS Benjamin Dubois, Jean-François Delmas, Guillaume Obozinski
2018	A*	`conf`	Canonical Tensor Decomposition for Knowledge Base Completion. ICML Timothée Lacroix, Nicolas Usunier, Guillaume Obozinski
2018	J	`jnl`	Canonical Tensor Decomposition for Knowledge Base Completion. CoRR Timothée Lacroix, Nicolas Usunier, Guillaume Obozinski
2018	J	`jnl`	Learning the effect of latent variables in Gaussian Graphical models with unobserved variables. CoRR Marina Vinyes, Guillaume Obozinski
2018	A	`conf`	SDCA-Powered Inexact Dual Augmented Lagrangian Method for Fast CRF Learning. AISTATS Xu Hu, Guillaume Obozinski
2017	J	`jnl`	Cut Pursuit: Fast Algorithms to Learn Piecewise Constant Functions on General Weighted Graphs. SIAM J. Imaging Sci. Loïc Landrieu, Guillaume Obozinski
2017	A	`conf`	Fast column generation for atomic norm regularization. AISTATS Marina Vinyes, Guillaume Obozinski
2016	A	`conf`	Cut Pursuit: Fast Algorithms to Learn Piecewise Constant Functions. AISTATS Loïc Landrieu, Guillaume Obozinski
2016	J	`jnl`	Learning and Calibrating Per-Location Classifiers for Visual Place Recognition. Int. J. Comput. Vis. Petr Gronát, Josef Sivic, Guillaume Obozinski, Tomás Pajdla
2015	A*	`conf`	A MRF shape prior for facade parsing with occlusions. CVPR Mateusz Kozinski, Raghudeep Gadde, Sergey Zagoruyko, Guillaume Obozinski, Renaud Marlet
2014	B	`conf`	A Markovian approach to distributional semantics with application to semantic compositionality. COLING Edouard Grave, Guillaume Obozinski, Francis R. Bach
2014	—	`conf`	Beyond Procedural Facade Parsing: Bidirectional Alignment via Linear Programming. ACCV (4) Mateusz Kozinski, Guillaume Obozinski, Renaud Marlet
2014	A	`conf`	Continuously indexed Potts models on unoriented graphs. UAI Loïc Landrieu, Guillaume Obozinski
2014	—	`conf`	Tight convex relaxations for sparse matrix factorization. NIPS Emile Richard, Guillaume Obozinski, Jean-Philippe Vert
2014	J	`jnl`	Tight convex relaxations for sparse matrix factorization. CoRR Emile Richard, Guillaume Obozinski, Jean-Philippe Vert
2013	J	`jnl`	Domain adaptation for sequence labeling using hidden Markov models. CoRR Edouard Grave, Guillaume Obozinski, Francis R. Bach
2013	B	`conf`	Hidden Markov tree models for semantic class induction. CoNLL Edouard Grave, Guillaume Obozinski, Francis R. Bach
2013	A*	`conf`	Learning and Calibrating Per-Location Classifiers for Visual Place Recognition. CVPR Petr Gronát, Guillaume Obozinski, Josef Sivic, Tomás Pajdla
2012	—	`conf`	A latent factor model for highly multi-relational data. NIPS Rodolphe Jenatton, Nicolas Le Roux, Antoine Bordes, Guillaume Obozinski
2012	J	`jnl`	Convex Relaxation for Combinatorial Penalties CoRR Guillaume Obozinski, Francis R. Bach
2012	J	`jnl`	Multiscale Mining of fMRI Data with Hierarchical Structured Sparsity. SIAM J. Imaging Sci. Rodolphe Jenatton, Alexandre Gramfort, Vincent Michel, Guillaume Obozinski, Evelyn Eger, Francis R. Bach, Bertrand Thirion
2012	J	`jnl`	On the Equivalence between Herding and Conditional Gradient Algorithms CoRR Francis R. Bach, Simon Lacoste-Julien, Guillaume Obozinski
2012	A*	`conf`	On the Equivalence between Herding and Conditional Gradient Algorithms. ICML Francis R. Bach, Simon Lacoste-Julien, Guillaume Obozinski
2012	J	`jnl`	Optimization with Sparsity-Inducing Penalties. Found. Trends Mach. Learn. Francis R. Bach, Rodolphe Jenatton, Julien Mairal, Guillaume Obozinski
2011	J	`jnl`	Convex and Network Flow Optimization for Structured Sparsity CoRR Julien Mairal, Rodolphe Jenatton, Guillaume Obozinski, Francis R. Bach
2011	J	`jnl`	Convex and Network Flow Optimization for Structured Sparsity. J. Mach. Learn. Res. Julien Mairal, Rodolphe Jenatton, Guillaume Obozinski, Francis R. Bach
2011	J	`jnl`	Group Lasso with Overlaps: the Latent Group Lasso approach CoRR Guillaume Obozinski, Laurent Jacob, Jean-Philippe Vert
2011	J	`jnl`	Learning Hierarchical and Topographic Dictionaries with Structured Sparsity CoRR Julien Mairal, Rodolphe Jenatton, Guillaume Obozinski, Francis R. Bach
2011	—	`conf`	Multi-scale Mining of fMRI Data with Hierarchical Structured Sparsity. PRNI Rodolphe Jenatton, Alexandre Gramfort, Vincent Michel, Guillaume Obozinski, Francis R. Bach, Bertrand Thirion
2011	J	`jnl`	Optimization with Sparsity-Inducing Penalties CoRR Francis R. Bach, Rodolphe Jenatton, Julien Mairal, Guillaume Obozinski
2011	J	`jnl`	Proximal Methods for Hierarchical Sparse Coding. J. Mach. Learn. Res. Rodolphe Jenatton, Julien Mairal, Guillaume Obozinski, Francis R. Bach
2011	J	`jnl`	Structured sparsity through convex optimization CoRR Francis R. Bach, Rodolphe Jenatton, Julien Mairal, Guillaume Obozinski
2011	J	`jnl`	Trace Lasso: a trace norm regularization for correlated designs CoRR Edouard Grave, Guillaume Obozinski, Francis R. Bach
2011	—	`conf`	Trace Lasso: a trace norm regularization for correlated designs. NIPS Edouard Grave, Guillaume Obozinski, Francis R. Bach
2010	J	`jnl`	Joint covariate selection and joint subspace selection for multiple classification problems. Stat. Comput. Guillaume Obozinski, Ben Taskar, Michael I. Jordan
2010	J	`jnl`	Network Flow Algorithms for Structured Sparsity CoRR Julien Mairal, Rodolphe Jenatton, Guillaume Obozinski, Francis R. Bach
2010	—	`conf`	Network Flow Algorithms for Structured Sparsity. NIPS Julien Mairal, Rodolphe Jenatton, Guillaume Obozinski, Francis R. Bach
2010	A*	`conf`	Proximal Methods for Sparse Hierarchical Dictionary Learning. ICML Rodolphe Jenatton, Julien Mairal, Guillaume Obozinski, Francis R. Bach
2010	A	`conf`	Structured Sparse Principal Component Analysis. AISTATS Rodolphe Jenatton, Guillaume Obozinski, Francis R. Bach
2009	A*	`conf`	Group lasso with overlap and graph lasso. ICML Laurent Jacob, Guillaume Obozinski, Jean-Philippe Vert
2008	—	`conf`	High-dimensional support union recovery in multivariate regression. NIPS Guillaume Obozinski, Martin J. Wainwright, Michael I. Jordan
2008	—	`conf`	Union support recovery in high-dimensional multivariate regression. Allerton Guillaume Obozinski, Martin J. Wainwright, Michael I. Jordan
2007	—	`conf`	Imaging Brain Activation Streams from Optical Flow Computation on 2-Riemannian Manifolds. IPMI Julien Lefèvre, Guillaume Obozinski, Sylvain Baillet