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CORDIS - EU research results
CORDIS

Reconciling Classical and Modern (Deep) Machine Learning for Real-World Applications

CORDIS provides links to public deliverables and publications of HORIZON projects.

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

MAP Estimation with Denoisers: Convergence Rates and Guarantees

Author(s): Scott Pesme, Giacomo Meanti, Michael Arbel, Julien Mairal
Published in: Advances in Neural Information Processing System, 2025
Publisher: openreview

A New Statistical Model of Star Speckles for Learning to Detect and Characterize Exoplanets in Direct Imaging Observations (opens in new window)

Author(s): Bodrito, Théo; Flasseur, Olivier; Mairal, Julien; Ponce, Jean; Langlois, Maud; Lagrange, Anne-Marie
Published in: IEEE / CVF Conference on Computer Vision and Pattern Recognition, 2025
Publisher: IEEE
DOI: 10.48550/ARXIV.2503.17117

Unsupervised Imaging Inverse Problems with Diffusion Distribution Matching

Author(s): Giacomo Meanti, Thomas Ryckeboer, Michael Arbel, Julien Mairal
Published in: International Conference on Computer Vision, 2025
Publisher: IEEE

LUDVIG: Learning-free Uplifting of 2D Visual features to Gaussian Splatting scenes

Author(s): Juliette Marrie, Romain Ménégaux, Michael Arbel, Diane Larlus, Julien Mairal
Published in: International Conference on Computer Vision, 2025
Publisher: IEEE

Functional Bilevel Optimization for Machine Learning

Author(s): Ieva Petrulionyte, Julien Mairal, Michael Arbel
Published in: Advances in Neural Information Processing Systems, 2024, ISSN 1049-5258
Publisher: openreview

Vision Transformers Need Registers

Author(s): Timothée Darcet, Maxime Oquab, Julien Mairal, Piotr Bojanowski
Published in: International Conference on Learning Representations, 2024
Publisher: openreview

GloptiNets: Scalable Non-Convex Optimization with Certificates

Author(s): Gaspard Beugnot, Julien Mairal, Alessandro Rudi
Published in: Advances in Neural Information Processing System, 2023, ISSN 1049-5258
Publisher: openreview

Image Processing and Machine Learning for Hyperspectral Unmixing: An Overview and the HySUPP Python Package (opens in new window)

Author(s): Behnood Rasti, Alexandre Zouaoui, Julien Mairal, Jocelyn Chanussot
Published in: IEEE Transactions on Geoscience and Remote Sensing, Issue 62, 2024, ISSN 0196-2892
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/TGRS.2024.3393570

SpectralEarth: Training Hyperspectral Foundation Models at Scale (opens in new window)

Author(s): Nassim Ait Ali Braham, Conrad M. Albrecht, Julien Mairal, Jocelyn Chanussot, Yi Wang, Xiao Xiang Zhu
Published in: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Issue 18, 2025, ISSN 1939-1404
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/JSTARS.2025.3581451

MODEL&CO: exoplanet detection in angular differential imaging by learning across multiple observations (opens in new window)

Author(s): Théo Bodrito, Olivier Flasseur, Julien Mairal, Jean Ponce, Maud Langlois, Anne-Marie Lagrange
Published in: Monthly Notices of the Royal Astronomical Society, Issue 534, 2024, ISSN 0035-8711
Publisher: Oxford University Press (OUP)
DOI: 10.1093/MNRAS/STAE2174

Fast Semisupervised Unmixing Using Nonconvex Optimization (opens in new window)

Author(s): Behnood Rasti, Alexandre Zouaoui, Julien Mairal, Jocelyn Chanussot
Published in: IEEE Transactions on Geoscience and Remote Sensing, Issue 62, 2024, ISSN 0196-2892
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/TGRS.2024.3440663

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