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Found 2 papers, 1 papers with code
Generative AI for Visualization: State of the Art and Future Directions
From a technical perspective, this paper looks back on previous visualization studies leveraging GenAI and discusses the challenges and opportunities for future research.
TimeTuner: Diagnosing Time Representations for Time-Series Forecasting with Counterfactual Explanations
Deep learning (DL) approaches are being increasingly used for time-series forecasting, with many efforts devoted to designing complex DL models.
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