ROOT Users' Workshop

Session

Multivariate Analysis

13 Sept 2018, 09:00

Academy of Sciences and Arts (Akademija nauka i umjetnosti Bosne i Hercegovine)

Conveners

Multivariate Analysis

• Oksana Shadura (University of Nebraska Lincoln (US))

44. New Deep Learning Tools in ROOT/TMVA

Dr Lorenzo Moneta (CERN)

13/09/2018, 09:00

Presentations

In this talk, we will describe the latest additions to the Toolkit for Multivariate Analysis (TMVA), the machine learning package integrated into the ROOT framework. In particular, we will focus on the new deep learning module that contains robust fully-connected, convolutional and recurrent deep neural networks implemented on CPU and GPU architectures. We will present performance of these new...

30. Cross validation and Parallelisation for TMVA

Kim Albertsson (Lulea University of Technology (SE))

13/09/2018, 09:15

Presentations

Cross validation, an important tool for optimising and understanding generalisation performance of large models (many tunable parameters), was recently introduced in TMVA. Currently implemented to estimate model performance, developments are ongoing for model selection. This talk will give an introduction to what CV is and how it is used in TMVA, with particular focus on HEP...

9. TMVA in the Future: Adapting to the Modern Machine-Learning Landscape

Stefan Wunsch (KIT - Karlsruhe Institute of Technology (DE))

13/09/2018, 09:30

Presentations

TMVA has been a pioneering effort which set a milestone for machine-learning (ML) in high-energy physics (HEP) more than ten years ago and remains in use in numerous analyses of LHC experiments.
On the other hand, the ML landscape explosively evolved during these years and - as industry stepped in - ML became suddenly one of the most active fields in science. This talk discusses how TMVA can...

83. Questions and Discussion

13/09/2018, 09:45