2023 ML/DL Workshop
July 17th – 20th (Virtual)
We are pleased to announce that the 2023 workshop is complete! All presentations have been archived!
Scheduled presenters will submit talks OR upload a public link via our submission form.
The Sandia Machine Learning and Deep Learning (MLDL) Workshop is an opportunity for researchers and practitioners in these areas to
Present work across various national laboratories and collaborators in machine learning (ML) and deep learning (DL).
Network with staff and management at Sandia focused on work in these areas and discuss ideas for potential new work and collaboration,
Teach and test MLDL methods via tutorials for those interested in getting some hands-on experience with machine learning and deep learning.
The ML/DL Workshop is a virtual for all UUR sessions. The final versions of accepted talks will be pre-recorded videos delivered virtually by a live session organizer, and speakers will participate in live, virtual Q&A sessions following their talks.
We are looking for presenters interested in sharing their work. We are particularly interested in submissions with regard to
describing the development of ML and DL methods and software,
application of ML and DL methods to problems of interest to the national laboratories,
existing problems at the laboratories for which ML and/or DL could be applied, and
demonstrations of existing ML and DL software packages and hardware developed at the laboratories.
Virtual pre-recorded presentation slots are limited to 15-, 20-, or 30-minute time slots with an opportunity for questions afterwards.
For questions and/or comments, please contact us.