Bites of FM4S: [1] Physics-inspired representations

Following up on the Foundation Models for Science mini-workshop, the CMS ML innovation team is excited to announce Bites of Foundation Models for Science, deep diving into specific themes in this area.

 The first of these bites will be held remotely on Nov. 20th 2024 (14:00-18:00 CERN time) with the theme of learning representations inspired by and aimed for physics applications. We aim to connect researchers from CMS, ATLAS, and beyond HEP working on building powerful, robust representations for science.

 We invite you to share your work! Abstract submission for the first workshop is open until November 13th. 

 We plan to follow-up with the next themes of discussion every 1 - 2 months. Please register below to receive updates on the future events. Abstract submission for these is open as well. Feel free to submit an abstract for a theme that better fits your work, we will keep it in mind for future events!

 Don’t hesitate to contact us at cms-conveners-ml-innovation@cern.ch for more details or questions!

Organizing committee:

• Javier Duarte (UCSD)
• Gaia Grosso (IAIFI / MIT)
• Raghav Kansal (Caltech / FNAL)
• Pietro Vischia (Universidad de Oviedo / ICTEA)