The PAU Survey and Euclid: Improving broadband photometric redshifts with multi-task learning star

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We investigated the ability of the Euclid telescope to detect galaxy-scale gravitational lenses. To do so, we performed a systematic visual inspection of the 0.7 deg2 Euclid Early Release Observations data towards the Perseus cluster using both the high-re ...

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Context. The Pristine-Gaia synthetic catalogue of reliable photometric metallicities makes use of spectrophotometric information from Gaia DR3 XP spectra to calculate metallicity-sensitive CaHK magnitudes, which in turn provides photometric metallicities f ...

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The PAU Survey and Euclid: Improving broadband photometric redshifts with multi-task learning star

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Euclid: The Early Release Observations Lens Search Experiment

How to minimize the annotation effort in aerial wildlife surveys

The Pristine survey: XXV. The very metal-poor Galaxy: Chemodynamics through the follow-up of the Pristine- Gaia synthetic catalogue

Generative models for synthetic data generation: application to pharmacokinetic/pharmacodynamic data

Probing the effects of broken symmetries in machine learning

Semantic Segmentation of Coffee Plantations from Sentinel-2 Time Series

Robust Training and Verification of Deep Neural Networks

Constraints on the Hubble constant from supernova Refsdal's reappearance

Automated image-based generation of finite element models for masonry buildings

Accelerated wind farm yaw and layout optimisation with multi-fidelity deep transfer learning wake models

A recipe for cracking the quantum scaling limit with machine learned electron densities

STATNet: Spatial-temporal attention in the traffic prediction

Context-Aware Image Super-Resolution Using Deep Neural Networks

Architecture Exploration and Optimization of Heterogeneous Many-Core Compute and Memory Architectures with Architectural Extensions