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03/31/2022
When Physics Meets Machine Learning: A Survey of Physics-Informed Machine Learning
Physics-informed machine learning (PIML), referring to the combination o...
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06/14/2021
Controlling Neural Networks with Rule Representations
We propose a novel training method to integrate rules into deep learning...
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08/08/2020
Network Inference from a Mixture of Diffusion Models for Fake News Mitigation
The dissemination of fake news intended to deceive people, influence pub...
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06/15/2020
Physics-aware Spatiotemporal Modules with Auxiliary Tasks for Meta-Learning
Modeling the dynamics of real-world physical systems is critical for spa...
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03/26/2020
COVID-19 on Social Media: Analyzing Misinformation in Twitter Conversations
The ongoing Coronavirus Disease (COVID-19) pandemic highlights the inter...
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03/26/2020
Coronavirus on Social Media: Analyzing Misinformation in Twitter Conversations
The ongoing Coronavirus Disease (COVID-19) pandemic highlights the inter...
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01/02/2020
A Deep Structural Model for Analyzing Correlated Multivariate Time Series
Multivariate time series are routinely encountered in real-world applica...
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02/08/2019