The NERSC Data Seminar Series are held at Berkeley Lab. The series hosts speakers to:
- Learn about latest science and methods results from researchers
- Learn from software vendors on their product offerings
- Facilitate communications between NERSC and other lab CS staff
Talks are held at 12-1pm on Fridays and are posted on the CS Seminars Calendar.
If you are affiliated with Berkeley Lab you can sign up to receive announcements about the Machine Learning seminars at the ML4Sci mailing-list.
https://lbnl.zoom.us/j/985901166
Feel free to contact the host with questions or requests for time with the speaker.
| Date | Title | Speaker | Host | Slides |
|---|---|---|---|---|
| 1/25 | Hierarchical Deep Learning for Long-term Sequence Generation (abstract) | Stephan Zheng (Salesforce Research) | Steven Farrell | keynote, pdf |
| 2/1 | Mesh-TensorFlow: Deep Learning for Supercomputers (abstract) | Noam Shazeer (Google Brain) | Mustafa Mustafa | |
| 2/8 | An Empirical Model of Large-Batch Training (abstract) | Sam McCandlish (OpenAI) | Mustafa Mustafa | |
| 2/15 | Nonlinear model reduction: Using machine learning to enable extreme-scale simulation for many-query problems (abstract) | Kevin Carlberg (Sandia Natl. Labs) | Karthik Kashinath | |
| 2/22 | Learning quantum states with generative models (abstract) | Juan Carrasquilla (Vector Institute) | Karthik Kashinath | |
| 3/1 | Jupyter at NERSC (abstract) | Rollin Thomas (NERSC, LBL) | Prabhat | |
| 3/8 | Introduction to Deep Learning (abstract) | Mustafa Mustafa (NERSC, LBL) | Prabhat | |
| 3/15 | SENSE: SDN for End-to-end Networked Science at the Exascale (abstract) | Chin Guok(ESNet, LBL) | David Skinner | |
| 3/22 | Spatio-temporal modeling using ML (abstract) | Rose Yu (NorthEastern Univ.) | Karthik Kashinath, Adrian Albert | |
| 3/29 | GANs for Soil Mechanics (abstract) | Utkarsh Mital (Caltech) | Adrian Albert | |
| 4/12 | Sizing Neural Network Experiments (abstract) | Gerald Friedland (UCB & LLNL) | Aydin Buluc | |
| 4/19 | Picture Perfect (abstract) | Peter Denes (LBL) | David Skinner | |
| 5/3 | Infusing Structure into Machine Learning Algorithms (abstract) | Animashree Anandkumar (Caltech, NVIDIA) | Karthik Kashinath | |
| 5/21 | Cascade Reconstruction in IceCube using Convolutional and Generative Neural Networks (abstract) | Mirco Hunnefeld (TU Dortmund) | Lisa Gerhardt | |
| 5/24 | Maglev and the Future of Long Distance Transportation (abstract) | John van Rosendale (College of William and Mary) | Prabhat | |
| 5/31 | Reflections on Human Space Flight” subtitled “Why Single Planet Species Don’t Survive) (abstract) | Jim Newman (Naval Postgraduate School) | Prabhat | |
| 6/14 | Optimizing Graph Algorithms | Shaikh Arifuzzman | Prabhat | |
| 6/28 | Accelerating Deep Learning with FPGAs | Rahul Namiyar | Prabhat |
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent