Publications

Journal papers

• Neural network-based emulation of interstellar medium models  
  P. Palud*, L. Einig*, J. Chanussot, J. Pety, et al.
  Astronomy & Astrophysics, 2023
  

• Deep learning denoising by dimension reduction: Application to the ORION-B line cubes  
  L. Einig, J. Palud, A. Roueff, P. Vandame, et al.
  Astronomy & Astrophysics, 2023

National conferences

• Réduction d’un modèle astrophysique par réseaux de neurones    
  L. Einig, P. Palud, J. Chanussot, J. Pety, et al.
  GRETSI'23, 2023
  

Workshop and conference abstracts

• Efficient and fast deep learning approaches to denoise large radioastronomy line cubes ​and to emulate sophisticated astrophysical models  
  L. Einig, P. Palud, J. Chanussot, J. Pety, et al.
  ML-IAP/CCA, 2023
  

• Deep learning denoising by dimension reduction: Application to molecular line cubes    
  L. Einig, J. Pety, J. Chanussot, M. Gerin, et al.
  Olympian Symposium, 2023