Nicolas Keriven
Orcid: 0000-0002-3846-8763
According to our database1,
Nicolas Keriven
authored at least 31 papers
between 2013 and 2024.
Collaborative distances:
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Bibliography
2024
Trans. Mach. Learn. Res., 2024
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
2023
Found. Comput. Math., February, 2023
IEEE Signal Process. Lett., 2023
Convergence of Message Passing Graph Neural Networks with Generic Aggregation On Large Random Graphs.
CoRR, 2023
What functions can Graph Neural Networks compute on random graphs? The role of Positional Encoding.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
2022
Stability of Entropic Wasserstein Barycenters and application to random geometric graphs.
CoRR, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
2021
IEEE Signal Process. Mag., 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the IEEE International Conference on Acoustics, 2021
2020
IEEE Trans. Signal Process., 2020
Statistical Learning Guarantees for Compressive Clustering and Compressive Mixture Modeling.
CoRR, 2020
Sparse and Smooth: improved guarantees for Spectral Clustering in the Dynamic Stochastic Block Model.
CoRR, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019
2018
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
2017
Sketching for Large-Scale Learning of Mixture Models. (Apprentissage de modèles de mélange à large échelle par Sketching).
PhD thesis, 2017
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
2016
Non-Negative Group Sparsity with Subspace Note Modelling for Polyphonic Transcription.
IEEE ACM Trans. Audio Speech Lang. Process., 2016
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
2013
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2013