Spring 2022 GRASP SFI: Marc Finzi, New York University, “Embedding Symmetries and Conservation Laws in Deep Learning Models for Dynamical Systems”
Levine 512*This will be a HYBRID Event with in-person attendance in Levine 512 and Virtual attendance via Zoom In contrast to traditional control systems where detailed dynamics models are constructed from a mix of physical understanding and empirical data, machine learning for intuitive physics, reinforcement learning, and robotics often takes a hands off approach treating the dynamics […]