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Gabriel Cardoso 0001

Gabriel Victorino Cardoso

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affiliation: Ecole Polytechnique, CMAP, Palaiseau, France
affiliation: University of Bordeaux, France

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2020 – today

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2024
[c4]
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  - conf/iclr/0001ICM24
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Gabriel Cardoso, Yazid Janati El Idrissi, Sylvain Le Corff, Eric Moulines:
Monte Carlo guided Denoising Diffusion models for Bayesian linear inverse problems. ICLR 2024
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  - journals/corr/abs-2401-05388
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Gabriel Victorino Cardoso, Lisa Bedin, Josselin Duchateau, Rémi Dubois, Eric Moulines:
Bayesian ECG reconstruction using denoising diffusion generative models. CoRR abs/2401.05388 (2024)
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  - journals/corr/abs-2404-07593
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Julia Linhart, Gabriel Victorino Cardoso, Alexandre Gramfort, Sylvain Le Corff, Pedro L. C. Rodrigues:
Diffusion posterior sampling for simulation-based inference in tall data settings. CoRR abs/2404.07593 (2024)
2023
[c3]
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Gabriel Cardoso, Yazid Janati El Idrissi, Sylvain Le Corff, Eric Moulines, Jimmy Olsson:
State and parameter learning with PARIS particle Gibbs. ICML 2023: 3625-3675
[i3]
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  - journals/corr/abs-2308-07983
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Gabriel Cardoso, Yazid Janati El Idrissi, Sylvain Le Corff, Eric Moulines:
Monte Carlo guided Diffusion for Bayesian linear inverse problems. CoRR abs/2308.07983 (2023)
2022
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  - conf/cinc/CardosoRAPHMD22
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Gabriel Cardoso, Geneviève Robin, Andony Arrieula, Mark Potse, Michel Haïssaguerre, Eric Moulines, Rémi Dubois:
A Patient-Specific Single Equivalent Dipole Model. CinC 2022: 1-4
[c1]
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Gabriel Cardoso, Sergey Samsonov, Achille Thin, Eric Moulines, Jimmy Olsson:
BR-SNIS: Bias Reduced Self-Normalized Importance Sampling. NeurIPS 2022
[i2]
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  - journals/corr/abs-2205-02818
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Tony Lelièvre, Geneviève Robin, Inass Sekkat, Gabriel Stoltz, Gabriel Victorino Cardoso:
Generative methods for sampling transition paths in molecular dynamics. CoRR abs/2205.02818 (2022)
[i1]
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  - journals/corr/abs-2207-06364
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Gabriel Cardoso, Sergey Samsonov, Achille Thin, Eric Moulines, Jimmy Olsson:
BR-SNIS: Bias Reduced Self-Normalized Importance Sampling. CoRR abs/2207.06364 (2022)

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