A Generalizable Physics-informed Learning Framework for Risk Probability
Estimation

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A Generalizable Physics-informed Learning Framework for Risk Probability Estimation

10 May 2023

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Papers citing "A Generalizable Physics-informed Learning Framework for Risk Probability Estimation"

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Title
Context-aware LLM-based Safe Control Against Latent Risks Quang Khanh Luu Xiyu Deng Anh Van Ho Yorie Nakahira 116 4 0 18 Mar 2024
Upper Bounds for Continuous-Time End-to-End Risks in Stochastic Robot Navigation Apurva Patil Takashi Tanaka 35 1 0 17 May 2022
Safe Reinforcement Learning with Chance-constrained Model Predictive Control Samuel Pfrommer Tanmay Gautam Alec Zhou Somayeh Sojoudi 71 25 0 27 Dec 2021
Physics-informed neural networks (PINNs) for fluid mechanics: A review Shengze Cai Zhiping Mao Zhicheng Wang Minglang Yin George Karniadakis PINN AI4CE 88 1,209 0 20 May 2021
Safe Optimal Control Using Stochastic Barrier Functions and Deep Forward-Backward SDEs M. Pereira Ziyi Wang Ioannis Exarchos Evangelos A. Theodorou 53 38 0 02 Sep 2020
Chance-Constrained Trajectory Optimization for Safe Exploration and Learning of Nonlinear Systems Yashwanth Kumar Nakka Anqi Liu Guanya Shi Anima Anandkumar Yisong Yue Soon-Jo Chung 91 49 0 09 May 2020
Physics-Informed Neural Networks for Power Systems George S. Misyris Andreas Venzke Spyros Chatzivasileiadis PINN AI4CE 69 221 0 09 Nov 2019
DeepXDE: A deep learning library for solving differential equations Lu Lu Xuhui Meng Zhiping Mao George Karniadakis PINN AI4CE 99 1,544 0 10 Jul 2019
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems Martín Abadi Ashish Agarwal P. Barham E. Brevdo Zhiwen Chen ... Pete Warden Martin Wattenberg Martin Wicke Yuan Yu Xiaoqiang Zheng 289 11,150 0 14 Mar 2016

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