A non-cooperative meta-modeling game for automated third-party calibrating, validating, and falsifying constitutive laws with parallelized adversarial attacks

13 April 2020

Papers citing "A non-cooperative meta-modeling game for automated third-party calibrating, validating, and falsifying constitutive laws with parallelized adversarial attacks"

3 / 3 papers shown

Title
Physics-Informed Deep Learning For Traffic State Estimation: A Survey and the Outlook Xuan Di Rongye Shi Zhaobin Mo Yongjie Fu PINN AI4TS AI4CE 19 28 0 03 Mar 2023
Design of experiments for the calibration of history-dependent models via deep reinforcement learning and an enhanced Kalman filter Ruben Villarreal Nikolaos N. Vlassis Nhon N. Phan Tommie A. Catanach Reese E. Jones N. Trask S. Kramer WaiChing Sun OffRL 9 11 0 27 Sep 2022
Sobolev training of thermodynamic-informed neural networks for smoothed elasto-plasticity models with level set hardening Nikolaos N. Vlassis WaiChing Sun AI4CE 6 2 0 15 Oct 2020