LAVAUX Guilhem

Research Fellow

[email protected]

http://www.iap.fr/users/lavaux/

CNRS

Institut d’Astrophysique de Paris IAP (UMR 7095)

Expertise

Discover the specialized technical skills and disciplinary affiliations of our members, who represent the federated communities of the Arts & Humanities, Science & Engineering, and Medicine within the Sorbonne University Alliance.

Communities

Climate, Environment & The Universe

Skills

Astrophysical data, Data analysis, Deep learning, Generative models, Machine learning, Statistical learning

Activities

Overview the professional milestones, academic responsibilities, and international collaborations that drive our center’s double ambition to excel in both research and education.

Responsibilities

PI of ANR BIG4, "Porteur" for CPU/GPU machine (Henon) at IAP

Selected publications

- Automatic physical inference with information maximizing neural networks
Charnock, Tom; Lavaux, Guilhem; Wandelt, Benjamin D.; Physical Review D, 2018; arXiV: 1802.03537
- Painting halos from 3D dark matter fields using Wasserstein mapping networks
Kodi Ramanah, Doogesh; Charnock, Tom; Lavaux, Guilhem; arXiV: 1903.10524
- Physical Bayesian modelling of the non-linear matter distribution: new insights into the Nearby Universe; Jasche, Jens; Lavaux, Guilhem; arXiV: 1806.11117
- Bayesian 3D velocity field reconstruction with VIRBIUS
Lavaux, Guilhem; MNRAS, 2016; arXiV: 1512.04534
- Wiener filtering and pure E/B decomposition of CMB maps with anisotropic correlated noise; Kodi Ramanah, Doogesh; Lavaux, Guilhem; Wandelt, Benjamin D.; arXiV: 1906.10704

International collaborations

Stockholm University,

Max-Planck Institute for Astrophysics,

Imperial College,

University of Oxford,

University of Waterloo,

University of Helsinki

- Aquila: https://www.aquila-consortium.org

- Learning the Universe: https://www.learning-the-universe.org/