Get our free extension to see links to code for papers anywhere online!

Chrome logo  Add to Chrome

Firefox logo Add to Firefox
Picture for Zhiyuan Huang

Zhiyuan Huang
Alert button

Certifiable Deep Importance Sampling for Rare-Event Simulation of Black-Box Systems


Nov 03, 2021
Mansur Arief, Yuanlu Bai, Wenhao Ding, Shengyi He, Zhiyuan Huang, Henry Lam, Ding Zhao

Add code
Alert button

Figure 1 for Certifiable Deep Importance Sampling for Rare-Event Simulation of Black-Box Systems
Figure 2 for Certifiable Deep Importance Sampling for Rare-Event Simulation of Black-Box Systems
Figure 3 for Certifiable Deep Importance Sampling for Rare-Event Simulation of Black-Box Systems
Figure 4 for Certifiable Deep Importance Sampling for Rare-Event Simulation of Black-Box Systems
* The conference version of this paper has appeared in AISTATS 2021 (arXiv:2006.15722) 
   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Accelerated Policy Evaluation: Learning Adversarial Environments with Adaptive Importance Sampling


Jun 19, 2021
Mengdi Xu, Peide Huang, Fengpei Li, Jiacheng Zhu, Xuewei Qi, Kentaro Oguchi, Zhiyuan Huang, Henry Lam, Ding Zhao

Add code
Alert button

Figure 1 for Accelerated Policy Evaluation: Learning Adversarial Environments with Adaptive Importance Sampling
Figure 2 for Accelerated Policy Evaluation: Learning Adversarial Environments with Adaptive Importance Sampling
Figure 3 for Accelerated Policy Evaluation: Learning Adversarial Environments with Adaptive Importance Sampling
Figure 4 for Accelerated Policy Evaluation: Learning Adversarial Environments with Adaptive Importance Sampling
* 10 pages, 5 figures 
   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Rare-Event Simulation for Neural Network and Random Forest Predictors


Oct 10, 2020
Yuanlu Bai, Zhiyuan Huang, Henry Lam, Ding Zhao

Add code
Alert button

Figure 1 for Rare-Event Simulation for Neural Network and Random Forest Predictors
Figure 2 for Rare-Event Simulation for Neural Network and Random Forest Predictors
Figure 3 for Rare-Event Simulation for Neural Network and Random Forest Predictors
Figure 4 for Rare-Event Simulation for Neural Network and Random Forest Predictors

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Deep Probabilistic Accelerated Evaluation: A Certifiable Rare-Event Simulation Methodology for Black-Box Autonomy


Jul 01, 2020
Mansur Arief, Zhiyuan Huang, Guru Koushik Senthil Kumar, Yuanlu Bai, Shengyi He, Wenhao Ding, Henry Lam, Ding Zhao

Add code
Alert button

Figure 1 for Deep Probabilistic Accelerated Evaluation: A Certifiable Rare-Event Simulation Methodology for Black-Box Autonomy
Figure 2 for Deep Probabilistic Accelerated Evaluation: A Certifiable Rare-Event Simulation Methodology for Black-Box Autonomy
Figure 3 for Deep Probabilistic Accelerated Evaluation: A Certifiable Rare-Event Simulation Methodology for Black-Box Autonomy
Figure 4 for Deep Probabilistic Accelerated Evaluation: A Certifiable Rare-Event Simulation Methodology for Black-Box Autonomy

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Assessing Modeling Variability in Autonomous Vehicle Accelerated Evaluation


Apr 19, 2019
Zhiyuan Huang, Mansur Arief, Henry Lam, Ding Zhao

Add code
Alert button

Figure 1 for Assessing Modeling Variability in Autonomous Vehicle Accelerated Evaluation
Figure 2 for Assessing Modeling Variability in Autonomous Vehicle Accelerated Evaluation
Figure 3 for Assessing Modeling Variability in Autonomous Vehicle Accelerated Evaluation
Figure 4 for Assessing Modeling Variability in Autonomous Vehicle Accelerated Evaluation

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

A Versatile Approach to Evaluating and Testing Automated Vehicles based on Kernel Methods


Oct 01, 2017
Zhiyuan Huang, Yaohui Guo, Henry Lam, Ding Zhao

Add code
Alert button

Figure 1 for A Versatile Approach to Evaluating and Testing Automated Vehicles based on Kernel Methods
Figure 2 for A Versatile Approach to Evaluating and Testing Automated Vehicles based on Kernel Methods
Figure 3 for A Versatile Approach to Evaluating and Testing Automated Vehicles based on Kernel Methods
Figure 4 for A Versatile Approach to Evaluating and Testing Automated Vehicles based on Kernel Methods

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Accelerated Evaluation of Automated Vehicles Using Piecewise Mixture Models


Jan 31, 2017
Zhiyuan Huang, Ding Zhao, Henry Lam, David J. LeBlanc

Add code
Alert button

Figure 1 for Accelerated Evaluation of Automated Vehicles Using Piecewise Mixture Models
Figure 2 for Accelerated Evaluation of Automated Vehicles Using Piecewise Mixture Models
Figure 3 for Accelerated Evaluation of Automated Vehicles Using Piecewise Mixture Models
Figure 4 for Accelerated Evaluation of Automated Vehicles Using Piecewise Mixture Models
* 11 pages, 13 figures 
   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email