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

Session

Invited talk

4 mars 2020, 14:30

Pierre-Gilles de Gennes Amphitheater (PCCP, APC laboratory, Université de Paris)

46. An Introduction to Bayesian Deep Learning

Frédéric Pennerath (CentraleSupélec)

04/03/2020 14:30

Bayesian Deep Learning (BDL) fills an important gap in the current deep neural networks, no matter powerful they are: in figurative terms, one could say BDL gives to AI the introspective ability to assess its own level of ignorance due to a lack of observations.
In more technical terms, BDL adopts the view of Bayesian statistics by replacing the weights of neural networks by...

47. Bayesian analysis and Supernova Photometric Cosmology

Dr Emille Ishida (LPC-UCA)

04/03/2020 17:10

In the end of the 20th century type Ia supernovae provided the first evidence for accelerated cosmic expansion -- completely changing the cosmological model paradigm. Since then, the astronomical community has devote much of its resources to the construction of large scale sky surveys which are expected to achieve first light in the next few years. The upcoming Large Survey of Space and Time...

48. TensorFlow Probability

Brian Patton (Google)

05/03/2020 14:00

42. Graphcore: Innovation in Machine Intelligence Hardware & Software

Alexander Titterton (Graphcore)

06/03/2020 14:00

44. Large-scale Machine Learning on LightOn’s Optical Processing Units

Laurent Daudet (Light On)

06/03/2020 14:45

43. Microsoft Azure

Alexandre Jean (Microsoft)

06/03/2020 15:15