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Structure: Internal structure identifier : 469472
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Benchmarking proximal methods acceleration enhancements for CS-acquired MR image analysis reconstruction

Zaccharie Ramzi , Philippe Ciuciu , Jean-Luc Starck
SPARS 2019 - Signal Processing with Adaptive Sparse Structured Representations Workshop, Jul 2019, Toulouse, France
Conference papers hal-02298569v1
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Denoising Score-Matching for Uncertainty Quantification in Inverse Problems

Zaccharie Ramzi , Benjamin Rémy , Francois Lanusse , Jean-Luc Starck , Philippe Ciuciu
NeurIPS 2020 - 34th Conference on Neural Information Processing Systems / Workshop on Deep Learning and Inverse Problems, Dec 2020, Vancouver / Virtuel, Canada
Conference papers hal-03020167v1
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Deep generative models for galaxy image simulations

François Lanusse , Rachel Mandelbaum , Siamak Ravanbakhsh , Chun-Liang Li , Peter Freeman , et al.
Monthly Notices of the Royal Astronomical Society, 2021, 504 (4), pp.5543-5555. ⟨10.1093/mnras/stab1214⟩
Journal articles hal-03451832v1

Adaptive wavelet distillation from neural networks through interpretations

Wooseok Ha , Chandan Singh , Francois Lanusse , Srigokul Upadhyayula , Bin Yu
2021
Preprints, Working Papers, ... hal-03451718v1
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Benchmarking MRI Reconstruction Neural Networks on Large Public Datasets

Zaccharie Ramzi , Philippe Ciuciu , Jean-Luc Starck
Applied Sciences, 2020
Journal articles hal-03028066v1
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Benchmarking Deep Nets MRI Reconstruction Models on the FastMRI Publicly Available Dataset

Zaccharie Ramzi , Philippe Ciuciu , Jean-Luc Starck
ISBI 2020 - International Symposium on Biomedical Imaging, Apr 2020, Iowa City, United States
Conference papers hal-02436223v1
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Polarized cosmic microwave background map recovery with sparse component separation

J. Bobin , F. Sureau , J.-L. Starck
Astronomy and Astrophysics - A&A, 2015, 583, pp.A92. ⟨10.1051/0004-6361/201526001⟩
Journal articles cea-01383757v1
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Euclid preparation - XIII. Forecasts for galaxy morphology with the Euclid Survey using deep generative models

H. Bretonnière , M. Huertas-Company , A. Boucaud , F. Lanusse , E. Jullo , et al.
Astronomy and Astrophysics - A&A, 2022, 657, pp.A90. ⟨10.1051/0004-6361/202141393⟩
Journal articles hal-03533669v1

Transformation Importance with Applications to Cosmology

Chandan Singh , Wooseok Ha , Francois Lanusse , Vanessa Boehm , Jia Liu , et al.
2021
Preprints, Working Papers, ... hal-03451860v1
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Probabilistic Mapping of Dark Matter by Neural Score Matching

Benjamin Rémy , Francois Lanusse , Zaccharie Ramzi , Jia Liu , Niall Jeffrey , et al.
NeurIPS 2020 - 3rd Workshop on Machine Learning and the Physical Sciences, Dec 2020, Vancouver / Virtuel, Canada
Conference papers hal-03020188v1
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XPDNet for MRI Reconstruction: an Application to the fastMRI 2020 Brain Challenge

Zaccharie Ramzi , Philippe Ciuciu , Jean-Luc Starck
2020
Preprints, Working Papers, ... hal-03020202v1
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SHINE: SHaring the INverse Estimate from the forward pass for bi-level optimization and implicit models

Zaccharie Ramzi , Florian Mannel , Shaojie Bai , Jean-Luc Starck , Philippe Ciuciu , et al.
ICLR 2022 - International Conference on Learning Representations, Apr 2022, Virtual, United States
Conference papers hal-03246167v3
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Wavelets in the Deep Learning ERA

Zaccharie Ramzi , Jean-Luc Starck , Thomas Moreau , Philippe Ciuciu
EUSIPCO 2020 - 28th European Signal Processing Conference, Jan 2021, Amsterdam, Netherlands
Conference papers hal-03020214v1
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Spectral unmixing applied to fast identification of γ-emitting radionuclides using NaI(Tl) detectors

Hugues Paradis , Christophe Bobin , J. Bobin , Jacques Bouchard , Valérie Lourenço , et al.
Applied Radiation and Isotopes, 2020, 158, pp.109068. ⟨10.1016/j.apradiso.2020.109068⟩
Journal articles hal-03433598v1