vix.ing · top · new · best · stats · spec

Rémi Gribonval

  1. Wavelets on Graphs via Spectral Graph Theory
    2009/12/19 by David K. Hammond, David K Hammond, Pierre Vandergheynst +4 · 3 voices · 40 citations
    Computer Science · Neuroscience · #Functional Brain Connectivity Studies #Neural dynamics and brain function #Topological and Geometric Data Analysis #cs.IT #math.FA
  2. Wavelets on graphs via spectral graph theory
    2010/04/29 by David K. Hammond, Pierre Vandergheynst, Rémi Gribonval · 49 citations
    Computer Science · Engineering · Mathematics · #Advanced Image Fusion Techniques #Image and Signal Denoising Methods #Mathematical Analysis and Transform Methods
  3. Abide by the Law and Follow the Flow: Conservation Laws for Gradient\n Flows
    2023/06/30 by Sibylle Marcotte, Rémi Gribonval, Marcotte, Sibylle +3 · 1 voice · 10 citations
    Computer Science · Engineering · Mathematics · Physics and Astronomy · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #FOS: Mathematics #Fluid Dynamics and Turbulent Flows #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Optimization and Control (math.OC) #Stochastic Gradient Optimization Techniques #cs.LG #math.OC
  4. Random sampling of bandlimited signals on graphs
    2016/06/03 by Gilles Puy, Nicolas Tremblay, Rémi Gribonval +1 · 10 citations
    Engineering · Mathematics · #Mathematical Analysis and Transform Methods #Microwave Imaging and Scattering Analysis #Sparse and Compressive Sensing Techniques
  5. Learning with minibatch Wasserstein : asymptotic and gradient properties
    2019/10/09 by Kilian Fatras, Younes Zine, Fatras, Kilian +7 · 10 citations
    Computer Science · Mathematics · Environmental Science · #Generative Adversarial Networks and Image Synthesis #Markov Chains and Monte Carlo Methods #Groundwater flow and contamination studies
  6. Minibatch optimal transport distances; analysis and applications
    2021/01/05 by Kilian Fatras, Fatras, Kilian, Younes Zine +9 · 11 citations
    Computer Science · Engineering · #Optimization and Search Problems #Optimization and Packing Problems #Complexity and Algorithms in Graphs
  7. And the Bit Goes Down: Revisiting the Quantization of Neural Networks
    2019/07/12 by Pierre Stock, Armand Joulin, Stock, Pierre +7 · 8 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Neural Networks and Applications #Neural Networks and Reservoir Computing
  8. Sketching Datasets for Large-Scale Learning (long version)
    2020/08/04 by Rémi Gribonval, Antoine Chatalic, Gribonval, Rémi +9 · 3 citations
    Computer Science · #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques #Topological and Geometric Data Analysis
  9. Beyond Moore-Penrose Part II: The Sparse Pseudoinverse
    2017/06/27 by Ivan Dokmanić, Rémi Gribonval, Dokmanić, Ivan +1 · 3 citations
    Computer Science · Engineering · Mathematics · #FOS: Computer and information sciences #Information Theory (cs.IT) #Markov Chains and Monte Carlo Methods #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
  10. Exact Recovery Conditions for Sparse Representations with Partial Support Information
    2013/05/17 by Cédric Herzet, Herzet, C., Charles Soussen +5 · 1 citation
    Computer Science · Engineering · #Distributed Sensor Networks and Detection Algorithms #FOS: Computer and information sciences #Information Theory (cs.IT) #Microwave Imaging and Scattering Analysis #Sparse and Compressive Sensing Techniques
  11. Recipes for stable linear embeddings from Hilbert spaces to Rm
    2015/09/23 by Gilles Puy, Mike E. Davies, Puy, Gilles +3 · 1 citation
    Decision Sciences · Engineering · Mathematics · #FOS: Computer and information sciences #Information Theory (cs.IT) #Mathematical Analysis and Transform Methods #Probabilistic and Robust Engineering Design #Sparse and Compressive Sensing Techniques
  12. Sketching for Large-Scale Learning of Mixture Models
    2016/06/09 by Nicolas Keriven, Anthony Bourrier, Keriven, Nicolas +5 · 1 citation
    Computer Science · Engineering · #Blind Source Separation Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Sparse and Compressive Sensing Techniques #Speech and Audio Processing
  13. Beyond Moore-Penrose Part I: Generalized Inverses that Minimize Matrix Norms
    2017/06/26 by Ivan Dokmanić, Rémi Gribonval, Dokmanić, Ivan +1 · 3 citations
    Computer Science · Engineering · Mathematics · #Advanced Optimization Algorithms Research #FOS: Computer and information sciences #Information Theory (cs.IT) #Matrix Theory and Algorithms #Sparse and Compressive Sensing Techniques
  14. Don't take it lightly: Phasing optical random projections with unknown operators
    2019/07/03 by Sidharth Gupta, Gupta, Sidharth, Rémi Gribonval +5 · 1 citation
    Computer Science · Physics and Astronomy · #Advanced X-ray Imaging Techniques #Digital Holography and Microscopy #Emerging Technologies (cs.ET) #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optical measurement and interference techniques #Signal Processing (eess.SP) #electronic engineering #information engineering
  15. Nonsmooth Convex Optimization to Estimate the Covid-19 Reproduction Number Space-Time Evolution With Robustness Against Low Quality Data
    2021/09/20 by Barbara Pascal, Patrice Abry, Nelly Pustelnik +3 · 1 citation
    Mathematics · Medicine · Decision Sciences · #COVID-19 epidemiological studies #SARS-CoV-2 and COVID-19 Research #Advanced Bandit Algorithms Research
  16. A theory of optimal convex regularization for low-dimensional recovery
    2021/12/07 by Yann Traonmilin, Rémi Gribonval, Traonmilin, Yann +3 · 1 citation
    Engineering · Medicine · #FOS: Electrical engineering #Medical Imaging Techniques and Applications #Signal Processing (eess.SP) #Sparse and Compressive Sensing Techniques #electronic engineering #information engineering
  17. The Generation Phases of Flow Matching: a Denoising Perspective
    2025/10/28 by Anne Gagneux, Ségolène Martin, Gagneux, Anne +5 · 1 voice · 2 citations
    Business, Management and Accounting · Computer Science · Engineering · #Business Process Modeling and Analysis #Data Stream Mining Techniques #Innovative Microfluidic and Catalytic Techniques Innovation #cs.AI #cs.CV #cs.LG
  18. Revisiting RIP guarantees for sketching operators on mixture models
    2023/12/09 by Ayoub Belhadji, Rémi Gribonval, Belhadji, Ayoub +1 · 1 citation
    Biochemistry, Genetics and Molecular Biology · Engineering · Mathematics · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Mathematical Approximation and Integration #RNA Research and Splicing #Sparse and Compressive Sensing Techniques
  19. Convexity in ReLU Neural Networks: beyond ICNNs?
    2025/01/06 by Anne Gagneux, Mathurin Massias, Gagneux, Anne +5 · 1 citation
    Computer Science · Neuroscience · #Stochastic Gradient Optimization Techniques #Advanced Neural Network Applications #Brain Tumor Detection and Classification