Physics-Driven ML-Based Modelling for Correcting Inverse Estimation

25 September 2023

Papers citing "Physics-Driven ML-Based Modelling for Correcting Inverse Estimation"

4 / 4 papers shown

Title
Global Optimization Networks Sen Zhao Erez Louidor Ilan Oleksandr Mangylov Maya R. Gupta 12 5 0 02 Feb 2022
Runtime Safety Assurance for Learning-enabled Control of Autonomous Driving Vehicles Shengduo Chen Yao Sun Dachuan Li Qiang Wang Qi Hao J. Sifakis 47 15 0 28 Sep 2021
Offline Model-Based Optimization via Normalized Maximum Likelihood Estimation Justin Fu Sergey Levine OffRL 62 46 0 16 Feb 2021
A General Framework Combining Generative Adversarial Networks and Mixture Density Networks for Inverse Modeling in Microstructural Materials Design Zijiang Yang Dipendra Jha Arindam Paul W. Liao A. Choudhary Ankit Agrawal MedIm AI4CE 18 10 0 26 Jan 2021