Fast Monte Carlo integration with repulsive processes

Project Information

BLACKJACK

Grant agreement ID: 851866

DOI

10.3030/851866

EC signature date 26 November 2019

Start date 1 February 2020

End date 31 January 2026

Funded under

• EXCELLENT SCIENCE - European Research Council (ERC)

Total cost

€ 1 489 000,00

EU contribution

€ 1 489 000,00

Coordinated by

CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS
France

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Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Publications

Conference proceedings (5)

Nonparametric estimation of continuous DPPs with kernel methods

Author(s): Michaël Fanuel, Rémi Bardenet
Published in: Neural information processing systems (NeurIPS), 2021
Publisher: NA

Smoothing Complex-Valued Signals on Graphs with Monte-Carlo

Author(s): Hugo Jaquard, Michaël Fanuel, Pierre-Olivier Amblard, Rémi Bardenet, Simon Barthelmé, Nicolas Tremblay
Published in: ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Issue 1881, 2023, Page(s) 1-5
Publisher: IEEE
DOI: 10.1109/icassp49357.2023.10096354

Recovering Hölder smooth functions from noisy modulo samples

Author(s): Michael Fanuel, Hemant Tyagi
Published in: 2021 55th Asilomar Conference on Signals, Systems, and Computers, Issue 28, 2022, Page(s) 857-861
Publisher: IEEE
DOI: 10.1109/ieeeconf53345.2021.9723268

Determinantal point processes based on orthogonal polynomials for sampling minibatches in SGD

Author(s): Rémi Bardenet, Subhroshekhar Ghosh, Meixia Lin
Published in: Neural information Processing Systems (NeurIPS), 2021
Publisher: Advances in Neural information Processing

Kernel interpolation with continuous volume sampling

Author(s): A Belhadji, R Bardenet, P Chainais
Published in: International conference on machine learning (ICML), 2020
Publisher: PMLR

Peer reviewed articles (5)

On sampling determinantal and Pfaffian point processes on a quantum computer

Author(s): Rémi Bardenet, Michaël Fanuel, Alexandre Feller
Published in: Journal of Physics A: Mathematical and Theoretical, Issue 57, 2024, Page(s) 055202, ISSN 1751-8113
Publisher: Institute of Physics Publishing
DOI: 10.1088/1751-8121/ad1b75

A Covariant, Discrete Time-Frequency Representation Tailored for Zero-Based Signal Detection

Author(s): Barbara Pascal, Rémi Bardenet
Published in: IEEE Transactions on Signal Processing, Issue 1053587X, 2022, ISSN 1053-587X
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tsp.2022.3181342

On proportional volume sampling for experimental design in general spaces

Author(s): Poinas, Arnaud; Bardenet, R.
Published in: Statistics and Computing, Issue 09603174, 2022, ISSN 0960-3174
Publisher: Kluwer Academic Publishers
DOI: 10.48550/arxiv.2011.04562

Fast sampling from beta-ensembles

Author(s): G Gautier, R Bardenet, M Valko
Published in: Statistics and Computing, 2021, ISSN 0960-3174
Publisher: Kluwer Academic Publishers

On estimating the structure factor of a point process, with applications to hyperuniformity

Author(s): Diala Hawat, Guillaume Gautier, Rémi Bardenet, Raphaël Lachièze-Rey
Published in: Statistics and Computing, 2023, ISSN 0960-3174
Publisher: Kluwer Academic Publishers