Ayoub Belhadji

According to our database1, Ayoub Belhadji authored at least 13 papers between 2019 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
To discretize continually: Mean shift interacting particle systems for Bayesian inference.
CoRR, May, 2026

One Operator for Many Densities: Amortized Approximation of Conditioning by Neural Operators.
CoRR, May, 2026

2025
Weighted quantization using MMD: From mean field to mean shift via gradient flows.
CoRR, February, 2025

2024
Sketch and shift: a robust decoder for compressive clustering.
Trans. Mach. Learn. Res., 2024

Revisiting RIP Guarantees for Sketching Operators on Mixture Models.
J. Mach. Learn. Res., 2024

On the design of scalable, high-precision spherical-radial Fourier features.
CoRR, 2024

Nonlinear Bayesian optimal experimental design using logarithmic Sobolev inequalities.
CoRR, 2024

2023
Signal reconstruction using determinantal sampling.
CoRR, 2023

2021
An analysis of Ermakov-Zolotukhin quadrature using kernels.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020
Subspace sampling using determinantal point processes. (Échantillonnage des sous-espaces à l'aide des processus ponctuels déterminantaux).
PhD thesis, 2020

A determinantal point process for column subset selection.
J. Mach. Learn. Res., 2020

Kernel interpolation with continuous volume sampling.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
Kernel quadrature with DPPs.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019


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