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Guillaume Obozinski

Guillaume Obozinski

D-Index & Metrics

Computer Science

D-Index
37
Citations
9627
World Ranking
10497
National Ranking
184

Overview

Guillaume Obozinski is affiliated with ETH Zurich in Switzerland. Their research spans multiple domains, focusing on areas that intersect with engineering, physics, biology, and environmental sciences.

The scientist's recent publications include diverse topics and have appeared in various venues:

  • "Tensor Decompositions for temporal knowledge base completion" (2020), arXiv (Cornell University)
  • "Predictive performance of multi-model ensemble forecasts of COVID-19 across European nations" (2023), eLife
  • "Empirical Bayes Transductive Meta-Learning with Synthetic Gradients" (2020), arXiv (Cornell University)
  • "Data-driven automated predictions of the avalanche danger level for dry-snow conditions in Switzerland" (2022), Natural hazards and earth system sciences
  • "Flood Uncertainty Estimation Using Deep Ensembles" (2022), Water

Frequent co-authors collaborating with Guillaume Obozinski include:

  • Ekaterina Krymova
  • Benjamín Béjar
  • Dorina Thanou
  • Katharine Sherratt
  • Hugo Gruson

Their scientific contributions are often published in these venues:

  • Zenodo (CERN European Organization for Nuclear Research)
  • arXiv (Cornell University)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Weather and Climate Dynamics
  • CERN Document Server (European Organization for Nuclear Research)

Guillaume Obozinski's work primarily addresses the following fields of study:

  • Electrical and Electronic Engineering
  • Global and Planetary Change
  • Artificial Intelligence
  • Nuclear and High Energy Physics
  • Molecular Biology

The major topics within the scientist's research portfolio include:

  • Particle Accelerators and Free-Electron Lasers
  • Superconducting Materials and Applications
  • Particle Detector Development and Performance
  • COVID-19 epidemiological studies
  • Hydrology and Watershed Management Studies
  • COVID-19 Pandemic Impacts
  • Flood Risk Assessment and Management

Best Publications

  • Group lasso with overlap and graph lasso

    Laurent Jacob;Guillaume Obozinski;Jean-Philippe Vert

  • Optimization with Sparsity-Inducing Penalties

    Francis Bach;Rodolphe Jenatton;Julien Mairal;Guillaume Obozinski

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

    Guillaume Obozinski;Ben Taskar;Michael I. Jordan

  • Proximal Methods for Sparse Hierarchical Dictionary Learning

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

  • A latent factor model for highly multi-relational data

    Rodolphe Jenatton;Nicolas L. Roux;Antoine Bordes;Guillaume R Obozinski

  • Convex optimization with sparsity-inducing norms

    Francis Bach;Rodolphe Jenatton;Julien Mairal;Guillaume Obozinski

  • Structured sparsity through convex optimization

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

  • Proximal Methods for Hierarchical Sparse Coding

    Rodolphe Jenatton;Julien Mairal;Guillaume Obozinski;Francis Bach

  • Structured Sparse Principal Component Analysis

    Rodolphe Jenatton;Guillaume Obozinski;Francis R. Bach

  • SUPPORT UNION RECOVERY IN HIGH-DIMENSIONAL MULTIVARIATE REGRESSION

    B. Y. Guillaume Obozinski;Martin J. Wainwright;Michael I. Jordan

  • A critical assessment of Mus musculus gene function prediction using integrated genomic evidence.

    Lourdes Pena-Castillo;Murat Tasan;Chad L Myers;Hyunju Lee

  • Genomic privacy and limits of individual detection in a pool

    Sriram Sankararaman;Guillaume Obozinski;Michael I Jordan;Eran Halperin;Eran Halperin

  • Canonical Tensor Decomposition for Knowledge Base Completion

    Timothée Lacroix;Nicolas Usunier;Guillaume Obozinski

  • Network Flow Algorithms for Structured Sparsity

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

  • Trace Lasso: a trace norm regularization for correlated designs

    Edouard Grave;Guillaume R Obozinski;Francis R. Bach

  • Group Lasso with Overlaps: the Latent Group Lasso approach

    Guillaume Obozinski;Laurent Jacob;Jean-Philippe Vert

  • On the Equivalence between Herding and Conditional Gradient Algorithms

    Simon Lacoste-julien;Francis R. Bach;Guillaume R. Obozinski

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

    Petr Gronat;Guillaume Obozinski;Josef Sivic;Toma Pajdla

  • On the Equivalence between Herding and Conditional Gradient Algorithms

    Francis Bach;Simon Lacoste-Julien;Guillaume Obozinski

  • Tensor Decompositions for Temporal Knowledge Base Completion

    Timothée Lacroix;Guillaume Obozinski;Nicolas Usunier

Frequent Co-Authors

Francis Bach
Francis Bach École Normale Supérieure
Julien Mairal
Julien Mairal French Institute for Research in Computer Science and Automation - INRIA
Michael I. Jordan
Michael I. Jordan University of California, Berkeley
Edouard Grave
Edouard Grave Facebook (United States)
Nicolas Usunier
Nicolas Usunier Facebook (United States)
Jean-Philippe Vert
Jean-Philippe Vert Google (United States)
Josef Sivic
Josef Sivic Czech Technical University in Prague
Bertrand Thirion
Bertrand Thirion University of Paris-Saclay

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