Скачать или смотреть L4DC 2024 Oral Presentation 1: Statistical Learning & Neural Networks

Join us for the Oral Presentations from Session 1: Statistical Learning & Neural Networks at the Learning for Dynamics and Control Conference held on July 16. This session features cutting-edge research in the field of statistical learning and neural networks, presented by leading experts.

Presentations include:

Parameter-Adaptive Approximate MPC: Tuning Neural-Network Controllers without Re-Training
Authors: Henrik Hose, Alexander Gräfe, and Sebastian Trimpe

Rademacher Complexity of Neural ODEs via Chen-Fliess Series
Authors: Joshua Hanson and Maxim Raginsky

Data-Driven Robust Covariance Control for Uncertain Linear Systems
Authors: Joshua Pilipovsky and Panagiotis Tsiotras

Data Driven Verification of Positive Invariant Sets for Discrete, Nonlinear Systems
Authors: Amy K. Strong and Leila J. Bridgeman

Explore the latest advancements and methodologies in neural networks and their applications in control systems.