|
FRIDAY, MAY 13 Time |
Title |
Presenter |
|---|---|---|
| 8:00 am - 8:30 am | Continental Breakfast and Badge Pickup | |
| 8:30 am - 8:40 am | Welcome and Logistics | |
| 8:40 am - 9:30 am | Intro to ML/DL, Use in Natural Sciences | Julian Kates-Harbeck |
| 9:30 am - 10:20 am | Deep Learning Tutorial | Alfredo Canziani |
| 10:20 am - 11:10 am | ML/DL for Computer Vision | Alfredo Canziani |
| 11:10 am - 11:30 am | Break | |
| 11:30 am - 12:20 pm | Geometric Deep Learning | Dmitriy Smirnov |
| 12:20 pm - 1:30 pm | Lunch | |
| 1:30 pm - 2:20 pm | Interpretability | Julius Adebayo |
| 2:20 pm - 3:50 pm | Bayesian Inference/Markov Chain Monte Carlo (MCMC) | Peter Melchior |
| 3:50 pm - 4:10 pm | Break | |
| 4:10 pm - 5:00 pm | Variational Inference | Jaan Altosaar |
| 5:00 pm - 5:30 pm | Simulation Based Inference | Peter Melchior |
| 5:30 pm - 7:00 pm | Reception/Poster Session |
|
SATURDAY, MAY 14 Time |
Title |
Presenter |
|---|---|---|
| 8:00 am - 8:30 am | Continental Breakfast | |
| 8:30 am - 11:00 am | Democratizing Deep Learning Development with DeepHyper | Prasanna Balakaprash |
| 11:00 am - 12:00 am | Lightning talks | |
| 12:00 pm - 1:30 pm | Lunch | |
| 1:30 pm - | Group Breakouts | |