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cs.LG2020★ 3 cited
Adaptive Physics-Informed Neural Networks for Markov-Chain Monte Carlo
Mohammad Amin Nabian, Hadi Meidani
In this paper, we propose the Adaptive Physics-Informed Neural Networks (APINNs) for accurate and efficient simulation-free Bayesian parameter estimation via Markov-Chain Monte Car…
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…