Advanced Statistics meets Machine Learning III Workshop
from
Wednesday, 13 November 2019 (08:45)
to
Friday, 15 November 2019 (15:00)
Monday, 11 November 2019
Tuesday, 12 November 2019
Wednesday, 13 November 2019
08:45
Registration
Registration
08:45 - 09:00
Room: Room 102
09:00
Introduction and Welcome
Introduction and Welcome
09:00 - 09:30
Room: Room 102
Salman Habib
09:30
FlowPM: Distributed Particle-Mesh N-body Simulation in TensorFlow - Presentation
FlowPM: Distributed Particle-Mesh N-body Simulation in TensorFlow - Presentation
09:30 - 10:00
Room: Room 102
Francois Lanusse
10:00
Open Discussion & Coffee Break
Open Discussion & Coffee Break
10:00 - 10:30
Room: Room 102
10:30
Statistical Computing on Large Parallel Architectures - Presentation
Statistical Computing on Large Parallel Architectures - Presentation
10:30 - 11:00
Room: Room 102
George Ostrouchov
11:00
Robust learning with implicit residual networks
Robust learning with implicit residual networks
11:00 - 11:30
Room: Room 102
Viktor Reshniak
11:30
Intro to toy problems
Intro to toy problems
11:30 - 12:00
Room: Room 102
12:00
Open Discussions & Lunch
Open Discussions & Lunch
12:00 - 13:00
Room: Room 102
13:00
Hands-On Sessions & Group Discussions
Hands-On Sessions & Group Discussions
13:00 - 14:30
Room: Room 102
14:30
Open Discussion & Coffee Break
Open Discussion & Coffee Break
14:30 - 15:00
Room: Room 102
15:00
Hands-On Sessions & Group Discussions
Hands-On Sessions & Group Discussions
15:00 - 16:30
Room: Room 102
Thursday, 14 November 2019
09:00
Learning to Solve Inverse Problems in Imaging and Sample Complexity - Presentation
Learning to Solve Inverse Problems in Imaging and Sample Complexity - Presentation
09:00 - 09:30
Room: Room 102
Rebecca Willett
09:30
Tackling the limitations of conventional reduced-order models for nonlinear dynamical systems using convolutional autoencoders - Presentation
Tackling the limitations of conventional reduced-order models for nonlinear dynamical systems using convolutional autoencoders - Presentation
09:30 - 10:00
Room: Room 102
Romit Maulik
10:00
Open Discussion & Coffee Break
Open Discussion & Coffee Break
10:00 - 10:30
Room: Room 102
10:30
Uncertainty Quantification and Bayesian Deep Learning - Presentation
Uncertainty Quantification and Bayesian Deep Learning - Presentation
10:30 - 11:00
Room: Room 102
Elise Jennings
11:00
Efficient computation of extreme excursion probabilities for dynamical systems - Presentation
Efficient computation of extreme excursion probabilities for dynamical systems - Presentation
11:00 - 11:30
Room: Room 102
Vishwas Rao
11:30
Simulation-Based Disaggregation of LIBS Spectra
Simulation-Based Disaggregation of LIBS Spectra
11:30 - 12:00
Room: Room 102
Earl Lawrence
12:00
Open Discussion & Lunch
Open Discussion & Lunch
12:00 - 13:00
Room: Room 102
13:00
Hands-On Sessions & Group Discussions
Hands-On Sessions & Group Discussions
13:00 - 14:30
Room: Room 102
14:30
Open Discussion & Coffee Break
Open Discussion & Coffee Break
14:30 - 15:00
Room: Room 102
15:00
Hands-On Sessions & Group Discussions
Hands-On Sessions & Group Discussions
15:00 - 16:30
Room: Room 102
17:30
Workshop Dinner
Workshop Dinner
17:30 - 19:30
Room: Room 102
Friday, 15 November 2019
09:00
Hands-on Session
Hands-on Session
09:00 - 10:00
Room: Room 102
10:00
Final Presentations
Final Presentations
10:00 - 12:00
Room: Room 102
12:00
Open Discussion & Lunch
Open Discussion & Lunch
12:00 - 13:00
Room: Room 102
13:00
Wrap-Up Discussions & Conclusions
Wrap-Up Discussions & Conclusions
13:00 - 15:00
Room: Room 102