Search Results for author: Yuanran Zhu

Found 4 papers, 1 papers with code

Learning nonlinear integral operators via Recurrent Neural Networks and its application in solving Integro-Differential Equations

no code implementations13 Oct 2023 Hardeep Bassi, Yuanran Zhu, Senwei Liang, Jia Yin, Cian C. Reeves, Vojtech Vlcek, Chao Yang

In this paper, we propose using LSTM-RNNs (Long Short-Term Memory-Recurrent Neural Networks) to learn and represent nonlinear integral operators that appear in nonlinear integro-differential equations (IDEs).

Numerical Integration

Probing reaction channels via reinforcement learning

no code implementations27 May 2023 Senwei Liang, Aditya N. Singh, Yuanran Zhu, David T. Limmer, Chao Yang

We propose a reinforcement learning based method to identify important configurations that connect reactant and product states along chemical reaction paths.

reinforcement-learning

Learning Stochastic Dynamics with Statistics-Informed Neural Network

1 code implementation24 Feb 2022 Yuanran Zhu, Yu-Hang Tang, Changho Kim

We devise mechanisms for training the neural network model to reproduce the correct \emph{statistical} behavior of a target stochastic process.

Detecting Label Noise via Leave-One-Out Cross-Validation

no code implementations21 Mar 2021 Yu-Hang Tang, Yuanran Zhu, Wibe A. de Jong

Optimizing the noise model using maximum likelihood estimation leads to the containment of the GPR model's predictive error by the posterior standard deviation in leave-one-out cross-validation.

GPR regression

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