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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 All presentations have been archived!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.

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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.