12:05
|
Flavours of Physics: Identifying Tau to Three Muon Decay Events at the LHCb Using a Combination of Hand-Crafted and Automatic Feature Engineering and Ensemble Algorithms
-
Rishab Gargeya
Arjun Subramaniam
()
|
12:20
|
--- Lunch ---
|
14:00
|
What is wrong with data challenges
-
Balázs Kégl
(CNRS / Université Paris-Saclay)
()
|
14:40
|
Deep Learning RNNaissance
- Prof.
Jürgen Schmidhuber
()
|
15:30
|
Jet Images: Deep Learning Edition
-
Luke Percival De Oliveira
(SLAC National Accelerator Laboratory (US))
()
|
15:45
|
Output Correction in HEP using DPGMM
-
Adil Omari
(Computer Science Dept. at Universidad Autonoma de Madrid)
Roberto Dıaz-Morales
Juan Jose Choquehuanca-Zevallos
()
|
16:00
|
Building a Robust Detector Algorithm: Application of Bayesian, Nonparametric, and Poisson Methods to Improve Photon Denoising
()
|
16:05
|
--- Coffee break ---
|
16:30
|
An alternative to ABC for likelihood-free inference
-
Kyle Stuart Cranmer
(New York University (US))
()
|
17:10
|
Artificial Physicists
-
J Michael Williams
(Massachusetts Inst. of Technology (US))
()
|
17:50
|
Panel discussion on collaborative research between HEP & ML
-
Andrey Ustyuzhanin
(Yandex School of Data Analysis (RU))
(until 18:30)
()
|