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PCCP Workshop Series : Bayesian Deep Learning for Cosmology and Gravitational waves

4–6 mars 2020
PCCP, APC laboratory, Université de Paris
Fuseau horaire Europe/Paris

Contact

Session

Contribution talks

4 mars 2020, 15:10
Pierre-Gilles de Gennes Amphitheater (PCCP, APC laboratory, Université de Paris)

Pierre-Gilles de Gennes Amphitheater

PCCP, APC laboratory, Université de Paris

10 Rue Alice Domon et Léonie Duquet, 75013 Paris

Documents de présentation

Aucun document.

  1. 32. Star-galaxy separation via Gaussian Processes with Neural Network Dual Kernels
    Dr Imene Goumiri (llnl)
    04/03/2020 15:10
  2. 33. Detection of gravitational-wave signals from binary neutron star signals using machine learning
    Marlin Benedikt Schäfer (Albert Einstein Institut Hannover (AEI Hannover))
    04/03/2020 15:30
  3. 30. Deep learning dark matter map reconstructions and parameter inference with Dark Energy Survey data
    Dr Niall Jeffrey (École normale supérieure)
    04/03/2020 16:10
  4. 31. Neural networks estimation of the dense-matter equation of state from neutron-star observables
    M. Filip Morawski (Nicolaus Copernicus Astronomical Center of the Polish Academy of Sciences)
    04/03/2020 16:30
  5. 34. Deep learning for a faster Hamiltonian Monte Carlo sampler
    M. Marc Arène (APC)
    05/03/2020 14:40
  6. 35. Galaxy Zoo: Probabilistic Morphology through Bayesian CNNs and Active Learning
    M. Mike Walmsley (University of Oxford)
    05/03/2020 15:00
  7. 36. Bayesian parameter estimation using conditional variational autoencoders for gravitational wave astronomy
    M. Hunter Gabbard (University of Glasgow)
    05/03/2020 15:20
  8. 37. Denoising gravitational wave signals with a variational autoencoder
    Dr Philippe BACON (Laboratoire Astroparticule et Cosmologie)
    05/03/2020 16:10
  9. 38. Solving source separation problem for LISA data analysis with Autoencoders
    Dr Natalia Korsakova (Observatoire de la Côte d'Azur)
    05/03/2020 16:30
  10. 39. The devil is in the details: interpreting probabilities from machine learning
    Alex Malz (German Centre of Cosmological Lensing)
    05/03/2020 16:50
  11. 45. Contrib 5
Ordre du jour en construction...