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The ML-DE Workshop on “Machine Learning Meets Differential Equations: From Theory to Applications”, co-located with ECAI 2024, is set to explore the synergies between Machine Learning (ML) and Differential Equations (DE), highlighting how these fields can collaborate to enhance prediction accuracies and advance explainable AI. This event will focus on integrating DEs into ML architectures and applying ML to solve complex DE problems, aiming to foster innovations in fields ranging from physics to biology. With a commitment to sustainable AI practices, the workshop is dedicated to developing energy-efficient algorithms and reducing the computational footprint of ML, encouraging a community-driven approach to pushing the boundaries of research and application at the intersection of ML and DE.

This concise description encapsulates the workshop’s objectives, themes, and the potential impact on various scientific and technological domains, positioning it as a pivotal meeting point for researchers and practitioners interested in the future of intelligent technologies.

Please find a detailed description of the workshop here.

The Proceedings of our workshop have been published by the Proceedings of Machine Learning Research (PMLR) as volume 255. You can access the proceedings here.

Workshop Date

Sunday, 20th of October 2024, Full Day

Location

Santiago de Compostela, Spain, ECAI 2024, School of Philology Room D08 Vigo

Highlights

  • Full-Length Papers will be published collectively in a volume by the Proceedings of Machine Learning Research (PMLR). This collaboration aims to enhance accessibility to this emerging topic and expand the network within the field.
  • Keynote Speakers:
    • Professor Eunika Mercier-Laurent, University of Reims Champagne-Ardenne, France; Chair of the International Federation for Information Processing Technical Committee 12: Artificial Intelligence (IFIP TC-12).
      • Title: Incorporation Of Expert-Knowledge Into AI Given By Differential Equations For Model Safety And Transparency
    • Professor Joseph Bakarji, American University of Beirut; Departments of Mechanical Engineering, Artificial Intelligence Hub, Center for Advanced Mathematical Sciences.
      • Title: Discovering Physically Meaningful Quantities Of Interest And Their Associated Governing Equations From Data
  • Featured Presentation:
    • Prof. Dr. Gülgün Kayakutlu, Istanbul Technical University
      • Title: Energy-Efficient Algorithms Aiming To Reduce The Computational Footprint Of AI And Traditional Numerical Methods For Solving Differential Equations
  • Review Transfer Option for papers that are not accepted for the main track and related to the workshop’s topics can be submitted to our workshop. Please use this form when submitting your paper. Please make sure to meet our submission guidelines.

Important Dates

  • Submission Deadline: 1st of July 2024 23:59 CEST 13th of July 2024 23:59 CEST
  • Notification of Acceptance: latest at 5th of August 2024
  • Workshop Date: Sunday, 20th of October, Full Day

Highlights of Call for Papers

Explore the core of our Call for Papers for the ML-DE Workshop, dedicated to the convergence of Machine Learning and Differential Equations. For detailed submission guidelines and topics of interest, ensure to visit our Call for Papers page.

Brief Submission Guidelines

Snapshot of Topics of Interest

We invite submissions that bridge Machine Learning with Differential Equations, covering a spectrum from theoretical innovations to practical applications. For a full exploration of the themes and how to submit, visit the full Call for Papers.

Engage with us in advancing this interdisciplinary nexus!

If you have questions feel free to contact us anytime MLDEWorkshopECAI24@hsu-hh.de

We look forward to welcoming you to Santiago de Compostela in Spain for an unforgettable experience.