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2023 ML/DL Workshop

July 17th – 20th (Virtual)

Please note below that the submission deadline has been extended!

PURPOSE

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.

ATTENDANCE

The 2023 ML/DL Workshop will be 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.

PRESENTATIONS NEEDED

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.