TBW
08:00 – 09:00 Registration (in Ginsburg Foyer)
09:00 – 10:30 Parallel Sessions:
Tutorial 1: Bridging Control and Learning for Safe and Scalable Autonomy: A Tour Through the Lens of Robotics (in Ginsburg Auditorium, moderated by Lars Lindemann)
Tutorial 2: Scientific Machine Learning for Modeling, Optimization, and Control (in Ginsburg Board Room, moderated by Sarah Dean)
Tutorial 3: Qualitative and Quantitative Verification of Neural Networks and Learning-enabled Cyber-Physical Systems with StarV (in Michelson Hall, moderated by Paulo Tabuada)
10:30 – 11:00 Coffee Break (at Convergence Plaza)
11:00 – 12:30 Parallel Sessions:
Tutorial 1: Bridging Control and Learning for Safe and Scalable Autonomy: A Tour Through the Lens of Robotics (in Ginsburg Auditorium, moderated by Lars Lindemann)
Tutorial 2: Scientific Machine Learning for Modeling, Optimization, and Control (in Ginsburg Board Room, moderated by Sarah Dean)
Tutorial 3: Qualitative and Quantitative Verification of Neural Networks and Learning-enabled Cyber-Physical Systems with StarV (in Michelson Hall, moderated by Paulo Tabuada)
12:30 – 14:00 Lunch Break (at Convergence Plaza)
14:00 – 15:30 Parallel Sessions:
Tutorial 4: Nonlinear Reduced Modeling and Control via Spectral Submanifold (in Ginsburg Auditorium, moderated by Stephen Tu)
Tutorial 5: Bridging Learning-Enabled Control with Modern NN Verifier (in Ginsburg Board Room, moderated by Adam Wierman)
Tutorial 6: TBD (in Michelson Auditorium, moderated by Nikolay Atanasov)
15:30 – 16:00 Coffee Break (at Convergence Plaza)
16:00 – 17:30 Parallel Sessions
Tutorial 4: Nonlinear Reduced Modeling and Control via Spectral Submanifold (in Ginsburg Auditorium, moderated by Stephen Tu)
Tutorial 5: Bridging Learning-Enabled Control with Modern NN Verifier (in Ginsburg Board Room, moderated by Adam Wierman)
Tutorial 6: TBD (in Michelson Auditorium, moderated by Nikolay Atanasov)
17:30 – 21:00 Social Events
08:00 – 09:00 Registration (in Ginsburg Foyer)
09:00 – 09:15 Opening Remarks L4DC (in Ginsburg Auditorium)
09:15 – 10:15 Oral Presentations 1: Safe Learning, Reachability, and Safety Filters (in Ginsburg Auditorium, moderated by Lars Lindemann)
10:15 – 10:45 Coffee Break (at Convergence Plaza)
10:45 – 11:45 Poster Presentations 1 (in Ginsburg Foyer)
11:45 – 12:45 Keynote 1: Alessandro Abate (in Ginsburg Auditorium, moderated by Lars Lindemann)
12:45 – 14:00 Lunch Break (at Convergence Plaza)
14:00 – 15:00 Oral Presentations 2: Reinforcement Learning for Robotics and Planning (in Ginsburg Auditorium, moderated by Adam Wierman)
15:00 – 16:00 Keynote 2: Jitendra Malik (in Ginsburg Auditorium, moderated by Adam Wierman)
16:00 – 16:30 Coffee Break (at Convergence Plaza)
16:30 – 17:30 Industry Spotlights (in Ginsburg Auditorium, moderated by Ketan Savla and Lars Lindemann)
17:30 – 18:30 Poster Presentations 2 (in Ginsburg Foyer)
18:30 – 21:00 Evening Reception (at Convergence Plaza)
08:00 – 09:15 Registration (in Ginsburg Foyer)
09:15 – 10:15 Oral Presentations 3: Learning Dynamical Models and System Identification (in Ginsburg Auditorium, moderated by Stephen Tu)
10:15 – 10:45 Coffee Break (at Convergence Plaza)
10:45 – 11:45 Poster Presentations 3 (in Ginsburg Foyer)
11:45 – 12:45 Keynote 3: Anima Anandkumar (in Ginsburg Auditorium, moderated by Stephen Tu)
12:45 – 14:00 Lunch Break (at Convergence Plaza)
14:00 – 15:00 Oral Presentations 4: Learning Theory, Optimization, and Decision-Making (in Ginsburg Auditorium, moderated by Nikolay Atanasov)
15:00 – 16:00 Keynote 4: Giancarlo Ferrari Trecate (in Ginsburg Auditorium, moderated by Nikolay Atanasov)
16:00 – 16:30 Coffee Break (at Convergence Plaza)
16:30 – 17:30 Industry Panel (in Ginsburg Auditorium, moderated by Ketan Savla and Lars Lindemann)
17:30 – 18:30 Poster Presentations 4 (in Ginsburg Foyer)
18:30 – 18:45 Award Ceremony and Closing Remarks (in Ginsburg Auditorium)