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04/15/2023
Detecting Out-of-Context Multimodal Misinformation with interpretable neural-symbolic model
Recent years have witnessed the sustained evolution of misinformation th...
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03/04/2023
Estimating Treatment Effects from Irregular Time Series Observations with Hidden Confounders
Causal analysis for time series data, in particular estimating individua...
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03/04/2023
Coupled Multiwavelet Neural Operator Learning for Coupled Partial Differential Equations
Coupled partial differential equations (PDEs) are key tasks in modeling ...
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02/19/2023
Estimating Treatment Effects in Continuous Time with Hidden Confounders
Estimating treatment effects plays a crucial role in causal inference, h...
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11/17/2022
DSLOB: A Synthetic Limit Order Book Dataset for Benchmarking Forecasting Algorithms under Distributional Shift
In electronic trading markets, limit order books (LOBs) provide informat...
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10/14/2022
Counterfactual Neural Temporal Point Process for Estimating Causal Influence of Misinformation on Social Media
Recent years have witnessed the rise of misinformation campaigns that sp...
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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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03/13/2021
Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting
Multivariate time-series forecasting plays a crucial role in many real-w...
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09/04/2020