NERSC Data Seminars Series - Lawrence Berkeley National Laboratory
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 11am-12pm on Tuesdays 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.
Contacting the speakers:
Feel free to contact the host with questions or requests for time with the speaker.
Video recordings are available in the "Data Seminars Series" playlist on YouTube.
|1/12||Deep Learning Approaches for Modeling Multi-Scale Chaos and Geophysical Turbulence (abstract)||Ashesh Chattopadhyay (Rice University/LBL)||Mustafa Mustafa||video|
|1/19||Self-Supervised Representation Learning for Astronomical Images (abstract)||Md. Abul Hayat (UARK/LBL),
George Stein (UCB/LBL)
|Mustafa Mustafa||pdf, key, video|
|2/2||Machine learning as a tool for Standard Model measurements (abstract)||Vinicius Mikuni (Univ. of Zurich)||Mustafa Mustafa|
|2/23||The CS Area Superfacility Project: Year in Review 2020||The Superfacility Team||Debbie Bard||video, pdf|
|3/9||Darshan: Enabling Application I/O Understanding in an Evolving HPC Landscape (abstract)||Shane Snyder (Argonne National Laboratory)||Alberto Chiusole||video|
|4/16||The Open Catalyst 2020 (OC20) Dataset & Community Challenges (abstract)||Zachary Ulissi (Carnegie Mellon University),
Larry Zitnick (Facebook AI Research)
|7/13||Monitoring Scientific Python Usage at NERSC (abstract)||Rollin Thomas (NERSC/LBL)||Wahid Bhimji||video|
|X/X||TBD||Chris Mungall (LBL)||Shane Canon|