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stat.ML2022★ 61 cited
PI-VAE: Physics-Informed Variational Auto-Encoder for stochastic differential equations
Weiheng Zhong, Hadi Meidani
We propose a new class of physics-informed neural networks, called physics-informed Variational Autoencoder (PI-VAE), to solve stochastic differential equations (SDEs) or inverse p…
stat.ML2020
IGANI: Iterative Generative Adversarial Networks for Imputation with Application to Traffic Data
Amir Kazemi, Hadi Meidani
Increasing use of sensor data in intelligent transportation systems calls for accurate imputation algorithms that can enable reliable traffic management in the occasional absence o…