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Xiangchen Song

On the Identification of Temporally Causal Representation with Instantaneous Dependence

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May 24, 2024
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When and How: Learning Identifiable Latent States for Nonstationary Time Series Forecasting

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Feb 20, 2024
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Calibration-then-Calculation: A Variance Reduced Metric Framework in Deep Click-Through Rate Prediction Models

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Jan 30, 2024
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CaRiNG: Learning Temporal Causal Representation under Non-Invertible Generation Process

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Jan 25, 2024
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A Versatile Causal Discovery Framework to Allow Causally-Related Hidden Variables

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Dec 18, 2023
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Temporally Disentangled Representation Learning under Unknown Nonstationarity

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Oct 28, 2023
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Estimating Treatment Effects from Irregular Time Series Observations with Hidden Confounders

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Mar 04, 2023
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Learning Task-Aware Effective Brain Connectivity for fMRI Analysis with Graph Neural Networks

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Nov 01, 2022
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Prompt Learning with Optimal Transport for Vision-Language Models

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Oct 03, 2022
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TaxoEnrich: Self-Supervised Taxonomy Completion via Structure-Semantic Representations

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Feb 10, 2022
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