Call for Participation
L4DC 2025: 7th Annual Learning for Dynamics & Control Conference
University of Michigan, Ann Arbor
Conference: June 5-6, 2025. Tutorials: June 4, 2025
Early registration deadline: May 2, 2025
Website: https://sites.google.com/umich.edu/l4dc2025/
The explosion of real-time data arising from devices that sense and control the physical world requires improving synergy in research areas such as machine learning, control theory, and optimization. While control theory has been firmly rooted in the tradition of model-based design, the availability and scale of data (both temporal and spatial) will require rethinking the foundations of the discipline. From a machine learning perspective, one of the main challenges going forward is to go beyond pattern recognition and address problems in data-driven control and optimization of dynamical processes. Our conference has been building a new community of people who think rigorously across the disciplines, ask new questions, and develop the foundations of this new scientific area.
The L4DC 2025 organizing committee are happy to announce that we have the following keynote speakers confirmed:
- Yuejie Chi (Carnegie Mellon University)
- Nan Jiang (University of Illinois Urbana-Champaign)
- Asuman Ozdaglar (Massachusetts Institute of Technology)
- Marco Pavone (Stanford University/NVIDIA)
- Eduardo Sontag (Northeastern University)
- Ambuj Tewari (University of Michigan)
The conference will also feature 4 oral presentation sessions on System Identification, Safe Learning, Reinforcement Learning, and Learning-Based Control, as well as 4 poster sessions with a total of 120 posters.
Furthermore, we are pleased to offer a series of pre-conference tutorials on Wednesday, June 4th. These tutorials provide a gentle introduction to key topics expected to be of significant interest to the L4DC community. This year, we are offering four tutorials covering: modern optimization methods for control, the application of large language models (LLMs) in control, the intersection of control, learning, and games, and control-theoretic methods for certifying contemporary machine learning methods. The primary goal of these sessions is to bridge multiple scientific disciplines through a shared language of control.
Registration for L4DC 2025 is now open at https://sites.google.com/umich.edu/l4dc2025/registration-travel/registration?authuser=0, with early bird rates being valid through May 2, 2025.
In addition, a limited number of travel grants funded by the National Science Foundation is available for students attending L4DC 2025 who are currently enrolled in US institutions. The application deadline is April 21, 2025.
Further information can be found at https://sites.google.com/umich.edu/l4dc2025/ or contact us at l4dc-2025@umich.edu
L4DC 2025 Organizing Committee:
General Chair: Necmiye Ozay, University of Michigan
Program Co-Chairs: Laura Balzano, Dimitra Panagou, University of Michigan
Program Vice-Chair: Alessandro Abate, University of Oxford
Local Arrangements Chair: Vasileios Tzoumas, University of Michigan
Tutorials Chair: Florian Dörfler, ETH Zürich
Publicity Chair: Sze Zheng Yong, Northeastern University
Awards Chair: Na Li, Harvard University
Website Chair: Salar Fattahi, University of Michigan
Steering Committee: Ali Jadbabaei, MIT; John Lygeros; ETH Zürich; George Pappas, UPenn; Pablo Parrilo, MIT; Ben Recht, UC Berkeley; Claire Tomlin, UC Berkeley; Melanie Zeilinger, ETH Zürich
