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Jean-Paul Richard Kneib

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People doing similar research (32)

Courses taught by this person (4)

Frédéric Courbin, Pascale Jablonka, Georges Meylan, Michaela Hirschmann, Gianluca Castignani, Benjamin Yvan Alexandre Clement, Yves Revaz, David Richard Harvey, Eduardo Sanchez, Varun Sharma

PHYS-101(j): General physics : mechanics

Le but du cours de physique générale est de donner à l'étudiant les notions de base nécessaires à la compréhension des phénomènes physiques. L'objectif est atteint lorsque l'étudiant est capable de pr

PHYS-345: Introduction to astrophysics: the basics

Presentation générale des méthodes et des connaissances de l'astrophysique moderne permettant d'illustrer notre perception et notre compréhension de l'univers. Ce cours constitue la base pours les cou

MICRO-453: Robotics practicals

The goal of this lab series is to practice the various theoretical frameworks acquired in the courses on a variety of robots, ranging from industrial robots to autonomous mobile robots, to robotic dev

Related units (3)

Laboratory of Astrophysics

EPFL
SB
IPHYS
LASTRO

ESC - Space Innovation

EPFL
VPA-AVP-CP
ESC
ESC-SI

EHE
EPFL
PRESTATIONS
VPA-AVP-CP
PREST-MAND
ESC
ESPACE
ESPACE

Related publications (228)

Please note that this is not a complete list of this person’s publications. It includes only semantically relevant works. For a full list, please refer to Infoscience.

Radio halo detection in MWA data using deep neural networks and generative data augmentation

Jean-Paul Richard Kneib, Emma Elizabeth Tolley

Detecting diffuse radio emission, such as from haloes, in galaxy clusters is crucial for understanding large-scale structure formation in the universe. Traditional methods, which rely on X-ray and Sunyaev-Zeldovich (SZ) cluster pre-selection, introduce bia ...

OXFORD UNIV PRESS2025

S-R2D2: a spherical extension of the R2D2 deep neural network series paradigm for wide-field radio-interferometric imaging

Jean-Philippe Thiran, Jean-Paul Richard Kneib, Emma Elizabeth Tolley

Recently, the R2D2 paradigm, standing for ‘Residual-to-Residual DNN series for high-Dynamic-range imaging’, was introduced for image formation in Radio Interferometry (RI) as a learned version of the traditional algorithm CLEAN. The first incarnations of R ...

Oxford University Press (OUP)2025

A method for asteroid detection using convolutional neural networks on VST images

Jean-Paul Richard Kneib, Mathieu Salzmann, Stephan Hellmich, Elisabeth Andréa Cécile Rachith

Context. The study of asteroids, particularly near-Earth asteroids, is key to gaining insights into our Solar System and can help prevent dangerous collisions. Beyond finding new objects, additional observations of known asteroids will improve our knowledg ...

2025