The ML-DE Workshop, 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.
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: Invited talk by Professor Eunika Mercier-Laurent, University of Reims Champagne-Ardenne, France and Chair of the International Federation for Information Processing Technical Committee 12: Artificial Intelligence (IFIP TC-12).
Important Dates
- Submission Deadline: 15th May 2024 23:59 CEST
- Notification of Acceptance: 1st of July 2024
- Workshop Date: TBD - (Either Saturday or Sunday, 19-20 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
- Paper Format: Submissions must follow the PMLR LaTeX template for uniformity.
- Length: Up to 8 pages, excluding references and appendices.
- Blind Review: Submissions should be anonymized to adhere to our double-blind review process.
- Submission Link: https://chairingtool.com/conferences/MLDE24/MainTrack
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.