Keriven, Nicolas

1. Universal Invariant and Equivariant Graph Neural Networks
   2019/05/13 by Nicolas Keriven, Keriven, Nicolas, Gabriel Peyré +1 · 16 citations
   Computer Science · Materials Science · Physics and Astronomy · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Materials Science #Model Reduction and Neural Networks
2. Convergence and Stability of Graph Convolutional Networks on Large\n Random Graphs
   2020/06/02 by Nicolas Keriven, Keriven, Nicolas, Alberto Bietti +3 · 4 citations
   Computer Science · Physics and Astronomy · #Advanced Graph Neural Networks #Complex Network Analysis Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Opportunistic and Delay-Tolerant Networks
3. Compressive Statistical Learning with Random Feature Moments
   2017/06/22 by Gribonval, Rémi, Blanchard, Gilles, Keriven, Nicolas +1 · 3 citations
   #FOS: Computer and information sciences #FOS: Mathematics #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistics Theory (math.ST)
4. Graph Coarsening with Message-Passing Guarantees
   2024/05/28 by Antonin Joly, Nicolas Keriven, Joly, Antonin +1 · 1 voice · 3 citations
   Computer Science · Mathematics · Neuroscience · Physics and Astronomy · #Advanced Graph Neural Networks #Complex Network Analysis Techniques #FOS: Computer and information sciences #Functional Brain Connectivity Studies #Machine Learning (cs.LG) #Machine Learning (stat.ML) #cs.LG #stat.ML
5. Sketching Datasets for Large-Scale Learning (long version)
   2020/08/04 by Rémi Gribonval, Gribonval, Rémi, Antoine Chatalic +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
6. On the Universality of Graph Neural Networks on Large Random Graphs
   2021/05/27 by Nicolas Keriven, Alberto Bietti, Keriven, Nicolas +3 · 2 citations
   Computer Science · Physics and Astronomy · #Advanced Graph Neural Networks #Complex Network Analysis Techniques #FOS: Computer and information sciences #Graph Theory and Algorithms #Machine Learning (cs.LG) #Machine Learning (stat.ML)
7. What functions can Graph Neural Networks compute on random graphs? The role of Positional Encoding
   2023/05/24 by Nicolas Keriven, Samuel Vaiter, Keriven, Nicolas +1 · 3 citations
   Computer Science · Materials Science · #Advanced Graph Neural Networks #Machine Learning in Materials Science #Stochastic Gradient Optimization Techniques
8. Convergence of Message Passing Graph Neural Networks with Generic Aggregation On Large Random Graphs
   2023/04/21 by Cordonnier, Matthieu, Keriven, Nicolas, Tremblay, Nicolas +1 · 2 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
9. 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
10. Compressive K-means
    2016/10/27 by Keriven, Nicolas, Tremblay, Nicolas, Traonmilin, Yann +1 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
11. The geometry of off-the-grid compressed sensing
    2018/02/23 by Clarice Poon, Nicolas Keriven, Poon, Clarice +3 · 1 citation
    Engineering · Mathematics · Medicine · Physics and Astronomy · #FOS: Computer and information sciences #Information Theory (cs.IT) #Markov Chains and Monte Carlo Methods #Medical Imaging Techniques and Applications #Random lasers and scattering media #Sparse and Compressive Sensing Techniques
12. NEWMA: a new method for scalable model-free online change-point detection
    2018/05/21 by Keriven, Nicolas, Garreau, Damien, Poli, Iacopo · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
13. Support Localization and the Fisher Metric for off-the-grid Sparse Regularization
    2018/10/08 by Poon, Clarice, Keriven, Nicolas, Peyré, Gabriel · 1 citation
    #FOS: Computer and information sciences #Information Theory (cs.IT)
14. Statistical Learning Guarantees for Compressive Clustering and Compressive Mixture Modeling
    2020/04/17 by Gribonval, Rémi, Blanchard, Gilles, Keriven, Nicolas +1 · 1 citation
    #FOS: Computer and information sciences #FOS: Mathematics #Information Theory (cs.IT) #Machine Learning (cs.LG) #Statistics Theory (math.ST)