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Hubert Leterme

6 papers

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papers

Publications (6)

astro-ph.CO2025

Distribution-free uncertainty quantification for inverse problems: application to weak lensing mass mapping

Hubert Leterme, Jalal Fadili, Jean-Luc Starck

cs.CV2024

From CNNs to Shift-Invariant Twin Models Based on Complex Wavelets

Hubert Leterme, Kévin Polisano, Valérie Perrier +1

astro-ph.CO2026

A plug-and-play approach with fast uncertainty quantification for weak lensing mass mapping

Hubert Leterme, Andreas Tersenov, Jalal Fadili +1

The paper presents PnPMass, a plug‑and‑play algorithm that reconstructs dark‑matter maps from weak‑lensing shear data using a single deep‑learning denoiser combined with gradient d…

#weak lensing#mass mapping#deep learning#uncertainty quantification
cs.CV2025

Disentangling Modes and Interference in the Spectrogram of Multicomponent Signals

Kévin Polisano, Sylvain Meignen, Nils Laurent +1

astro-ph.CO2024

Galaxy-Point Spread Function correlations as a probe of weak-lensing systematics with UNIONS data

Sacha Guerrini, Martin Kilbinger, Hubert Leterme +6

cs.CV2025

On the Shift Invariance of Max Pooling Feature Maps in Convolutional Neural Networks

Hubert Leterme, Kévin Polisano, Valérie Perrier +1

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