Paris workshop on Bayesian Deep Learning for Cosmology and Time Domain Astrophysics

Session

Tutorials

20 juin 2022, 09:10

Buffon Amphitheater (APC laboratory, Université Paris Cité)

Présidents de session

Tutorials: BDL school

• Alan Heavens ( Imperial College London)

Tutorials: BDL School

• Junpeng Lao (Google Zurich)

Tutorials: BDL school

• Francois Lanusse ({CNRS}UMR7158)

Tutorials: BDL school

• Benjamin Wandelt (IAP)

Documents de présentation

AlanHeavens

Introduction-to-Bayes-Alan-Heavens.pdf

Straight Line Gibbs.ipynb

Straight Line HMC.ipynb

Straight Line MH MCMC.ipynb

Junpeng Lao

Bayesian_Time_Series_Analysis_with_TFP_on_JAX_(Part_1).ipynb

Bayesian_Time_Series_Analysis_with_TFP_on_JAX_(Part_2).ipynb

Bayesian Time Series Analysis with TFP on JAX.pdf

138. Introduction to Bayesian Modeling

Alan Heavens ( Imperial College London)

20/06/2022 09:10

139. Bayesian Time Series Analysis with TFP on JAX

Junpeng Lao (Google Zurich)

20/06/2022 11:10

140. Probabilistic Deep Learning with TFP and JAX/Flax

Francois Lanusse ({CNRS}UMR7158)

20/06/2022 14:10

141. Likelihood-Free Inference and Application to Cosmology

Benjamin Wandelt (IAP)

20/06/2022 16:10