Workshop on state of the art in sampling and clustering
from
Monday, October 5, 2020 (12:00 PM)
to
Friday, October 9, 2020 (5:00 PM)
Monday, October 5, 2020
1:00 PM
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
)
1:00 PM - 1:10 PM
Room: Zoom, Gather Town and MPP Auditorium
1:10 PM
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
)
1:10 PM - 3:00 PM
Room: Zoom, Gather Town and MPP Auditorium
3:00 PM
Virtual Social Interaction/Discussion
Virtual Social Interaction/Discussion
3:00 PM - 3:30 PM
Room: Zoom, Gather Town and MPP Auditorium
3:30 PM
NIFTy – Numerical Information Field Theory
-
Philipp Arras
NIFTy – Numerical Information Field Theory
Philipp Arras
3:30 PM - 5:00 PM
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, October 6, 2020
9:00 AM
Approximate Bayesian Computation (ABC)
-
Christian Robert
(
Université Paris Dauphine PSL
)
Approximate Bayesian Computation (ABC)
Christian Robert
(
Université Paris Dauphine PSL
)
9:00 AM - 10:30 AM
Room: Zoom, Gather Town and MPP Auditorium
10:30 AM
Approximate Bayesian Computation (ABC)
-
Christian Robert
(
Université Paris Dauphine PSL
)
Approximate Bayesian Computation (ABC)
Christian Robert
(
Université Paris Dauphine PSL
)
10:30 AM - 12:00 PM
Room: Zoom, Gather Town and MPP Auditorium
12:00 PM
Break
Break
12:00 PM - 1:30 PM
Room: Zoom, Gather Town and MPP Auditorium
1:30 PM
Statistics in autonomous driving
-
Frederik Beaujean
(
MPP
)
Statistics in autonomous driving
Frederik Beaujean
(
MPP
)
1:30 PM - 2:15 PM
Room: Zoom, Gather Town and MPP Auditorium
2:15 PM
Virtual Social Interaction/Discussion
Virtual Social Interaction/Discussion
2:15 PM - 3:00 PM
Room: Zoom, Gather Town and MPP Auditorium
3:00 PM
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
)
3:00 PM - 4:00 PM
Room: Zoom, Gather Town and MPP Auditorium
Wednesday, October 7, 2020
10:00 AM
Foundations of Clustering
-
Debarghya Ghoshdastidar
(
TUM
)
Foundations of Clustering
Debarghya Ghoshdastidar
(
TUM
)
10:00 AM - 11:30 AM
Room: Zoom, Gather Town and MPP Auditorium
11:30 AM
Virtual Social Interaction/Discussion
Virtual Social Interaction/Discussion
11:30 AM - 12:00 PM
Room: Zoom, Gather Town and MPP Auditorium
12:00 PM
Break
Break
12:00 PM - 1:30 PM
Room: Zoom, Gather Town and MPP Auditorium
1:30 PM
Clustering, continued
-
Debarghya Ghoshdastidar
(
TUM
)
Clustering, continued
Debarghya Ghoshdastidar
(
TUM
)
1:30 PM - 3:00 PM
Room: Zoom, Gather Town and MPP Auditorium
3:00 PM
Virtual Social Interaction/Discussion
Virtual Social Interaction/Discussion
3:00 PM - 3:30 PM
Room: Zoom, Gather Town and MPP Auditorium
3:30 PM
Introduction to nested sampling
-
Johannes Buchner
(
MPI for Extraterrestrial Physics
)
Introduction to nested sampling
Johannes Buchner
(
MPI for Extraterrestrial Physics
)
3:30 PM - 5:00 PM
Room: Zoom, Gather Town and MPP Auditorium
Thursday, October 8, 2020
10:00 AM
Clustering, hands-on
-
Philipp Eller
(
Max Planck for Physics
)
Clustering, hands-on
Philipp Eller
(
Max Planck for Physics
)
10:00 AM - 12:00 PM
Room: Zoom, Gather Town and MPP Auditorium
12:00 PM
Break
Break
12:00 PM - 1:30 PM
Room: Zoom, Gather Town and MPP Auditorium
1:30 PM
Introduction to Hamiltonian Monte Carlo (HMC)
-
Michael Betancourt
Introduction to Hamiltonian Monte Carlo (HMC)
Michael Betancourt
1:30 PM - 3:00 PM
Room: Zoom, Gather Town and MPP Auditorium
3:00 PM
Virtual Social Interaction/Discussion
Virtual Social Interaction/Discussion
3:00 PM - 3:30 PM
Room: Zoom, Gather Town and MPP Auditorium
3:30 PM
More on Hamiltonian Monte Carlo, with exercises
-
Michael Betancourt
More on Hamiltonian Monte Carlo, with exercises
Michael Betancourt
3:30 PM - 5:00 PM
Room: Zoom, Gather Town and MPP Auditorium
Friday, October 9, 2020
10:00 AM
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 AM - 11:00 AM
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 AM
Social Discussion Session
Social Discussion Session
11:00 AM - 12:00 PM
Room: Zoom, Gather Town and MPP Auditorium