Workshop on state of the art in sampling and clustering
from
Monday, 5 October 2020 (12:00)
to
Friday, 9 October 2020 (17:00)
Monday, 5 October 2020
13:00
Welcome
-
Allen Caldwell
(
Max Planck Institute for Physics
)
Oliver Schulz
(
Max Planck for Physics
)
Welcome
Allen Caldwell
(
Max Planck Institute for Physics
)
Oliver Schulz
(
Max Planck for Physics
)
13:00 - 13:10
Room: Zoom, Gather Town and MPP Auditorium
13:10
Introduction to Information Field Theory (IFT)
-
Torsten Enßlin
(
Max Planck Institute for Astrophysics
)
Introduction to Information Field Theory (IFT)
Torsten Enßlin
(
Max Planck Institute for Astrophysics
)
13:10 - 15:00
Room: Zoom, Gather Town and MPP Auditorium
15:00
Virtual Social Interaction/Discussion
Virtual Social Interaction/Discussion
15:00 - 15:30
Room: Zoom, Gather Town and MPP Auditorium
15:30
NIFTy – Numerical Information Field Theory
-
Philipp Arras
NIFTy – Numerical Information Field Theory
Philipp Arras
15:30 - 17:00
Room: Zoom, Gather Town and MPP Auditorium
NIFTy "Numerical Information Field Theory", is a versatile library designed to enable the development of signal inference algorithms that are independent of the underlying grids (spatial, spectral, temporal, …) and their resolutions. Its object-oriented framework is written in Python, although it accesses libraries written in C++ and C for efficiency.
Tuesday, 6 October 2020
09:00
Approximate Bayesian Computation (ABC)
-
Christian Robert
(
Université Paris Dauphine PSL
)
Approximate Bayesian Computation (ABC)
Christian Robert
(
Université Paris Dauphine PSL
)
09:00 - 10:30
Room: Zoom, Gather Town and MPP Auditorium
10:30
Approximate Bayesian Computation (ABC)
-
Christian Robert
(
Université Paris Dauphine PSL
)
Approximate Bayesian Computation (ABC)
Christian Robert
(
Université Paris Dauphine PSL
)
10:30 - 12:00
Room: Zoom, Gather Town and MPP Auditorium
12:00
Break
Break
12:00 - 13:30
Room: Zoom, Gather Town and MPP Auditorium
13:30
Statistics in autonomous driving
-
Frederik Beaujean
(
MPP
)
Statistics in autonomous driving
Frederik Beaujean
(
MPP
)
13:30 - 14:15
Room: Zoom, Gather Town and MPP Auditorium
14:15
Virtual Social Interaction/Discussion
Virtual Social Interaction/Discussion
14:15 - 15:00
Room: Zoom, Gather Town and MPP Auditorium
15:00
Epidemic Models to Quantify the Effects of Testing, Contact Tracing and Containment
-
Manuel Gomez Rodriguez
(
MPI for Software Systems
)
Epidemic Models to Quantify the Effects of Testing, Contact Tracing and Containment
Manuel Gomez Rodriguez
(
MPI for Software Systems
)
15:00 - 16:00
Room: Zoom, Gather Town and MPP Auditorium
Wednesday, 7 October 2020
10:00
Foundations of Clustering
-
Debarghya Ghoshdastidar
(
TUM
)
Foundations of Clustering
Debarghya Ghoshdastidar
(
TUM
)
10:00 - 11:30
Room: Zoom, Gather Town and MPP Auditorium
11:30
Virtual Social Interaction/Discussion
Virtual Social Interaction/Discussion
11:30 - 12:00
Room: Zoom, Gather Town and MPP Auditorium
12:00
Break
Break
12:00 - 13:30
Room: Zoom, Gather Town and MPP Auditorium
13:30
Clustering, continued
-
Debarghya Ghoshdastidar
(
TUM
)
Clustering, continued
Debarghya Ghoshdastidar
(
TUM
)
13:30 - 15:00
Room: Zoom, Gather Town and MPP Auditorium
15:00
Virtual Social Interaction/Discussion
Virtual Social Interaction/Discussion
15:00 - 15:30
Room: Zoom, Gather Town and MPP Auditorium
15:30
Introduction to nested sampling
-
Johannes Buchner
(
MPI for Extraterrestrial Physics
)
Introduction to nested sampling
Johannes Buchner
(
MPI for Extraterrestrial Physics
)
15:30 - 17:00
Room: Zoom, Gather Town and MPP Auditorium
Thursday, 8 October 2020
10:00
Clustering, hands-on
-
Philipp Eller
(
Max Planck for Physics
)
Clustering, hands-on
Philipp Eller
(
Max Planck for Physics
)
10:00 - 12:00
Room: Zoom, Gather Town and MPP Auditorium
12:00
Break
Break
12:00 - 13:30
Room: Zoom, Gather Town and MPP Auditorium
13:30
Introduction to Hamiltonian Monte Carlo (HMC)
-
Michael Betancourt
Introduction to Hamiltonian Monte Carlo (HMC)
Michael Betancourt
13:30 - 15:00
Room: Zoom, Gather Town and MPP Auditorium
15:00
Virtual Social Interaction/Discussion
Virtual Social Interaction/Discussion
15:00 - 15:30
Room: Zoom, Gather Town and MPP Auditorium
15:30
More on Hamiltonian Monte Carlo, with exercises
-
Michael Betancourt
More on Hamiltonian Monte Carlo, with exercises
Michael Betancourt
15:30 - 17:00
Room: Zoom, Gather Town and MPP Auditorium
Friday, 9 October 2020
10:00
Updates on BAT.jl, a Bayesian Analysis Toolkit in Julia
-
Oliver Schulz
(
Max Planck for Physics
)
Updates on BAT.jl, a Bayesian Analysis Toolkit in Julia
Oliver Schulz
(
Max Planck for Physics
)
10:00 - 11:00
Room: Zoom, Gather Town and MPP Auditorium
BAT.jl is a Bayesian Analysis Toolkit implemented in the Julia language. It is a high high-performance tool box for Bayesian inference with statistical models expressed in a general-purpose programming language, instead of a domain-specific language. Typical applications for this package are the extraction of the values of the parameters of a model, the comparison of different models in the light of a given data set and the test of the validity of a model to represent the data set at hand. BAT.jl provides access to the full Bayesian posterior distribution to enable parameter estimation, limit setting and uncertainty propagation. BAT.jl also provides supporting functionality like plotting recipes and reporting functions.
11:00
Social Discussion Session
Social Discussion Session
11:00 - 12:00
Room: Zoom, Gather Town and MPP Auditorium