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Workshop
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Comparison of Uncertainty Quantification in Time Series Regression
Levente Foldesi · Matias Valdenegro-Toro
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Poster
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Wed 14:00
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LSAR: Efficient Leverage Score Sampling Algorithm for the Analysis of Big Time Series Data
Ali Eshragh · Fred Roosta · Asef Nazari · Michael Mahoney
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Poster
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Thu 14:00
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Deep Counterfactual Estimation with Categorical Background Variables
Edward De Brouwer
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Workshop
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Fri 9:30
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A Framework for the Evaluation of Clinical Time Series Models
Michael Gao · Jiayu Yao · Ricardo Henao
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Workshop
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Exploiting Variable Correlation with Masked Modeling for Anomaly Detection in Time Series
Panagiotis Lymperopoulos · Yukun Li · Liping Liu
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Workshop
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Fri 12:15
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Comparison of Uncertainty Quantification in Time Series Regression
Levente Foldesi · Matias Valdenegro-Toro
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Poster
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SCINet: Time Series Modeling and Forecasting with Sample Convolution and Interaction
Minhao LIU · Ailing Zeng · Muxi Chen · Zhijian Xu · Qiuxia LAI · Lingna Ma · Qiang Xu
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Poster
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Generative Time Series Forecasting with Diffusion, Denoise, and Disentanglement
Yan Li · Xinjiang Lu · Yaqing Wang · Dejing Dou
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Affinity Workshop
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FMAM: A novel Factorization Machine based Attention Mechanism for Forecasting Time Series Data
Fahim Azad
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Affinity Workshop
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Shapelet Guided Counterfactual Explanation Generation for Black-Box Time Series Classifiers
Tina Han · Jette Henderson
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Workshop
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Fri 9:30
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Performative Prediction in Time Series: A Case Study
Rupali Bhati · Jennifer Jones · Audrey Durand
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Workshop
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Fri 13:00
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Improving Counterfactual Explanations for Time Series Classification Models in Healthcare Settings
Tina Han · Jette Henderson · Pedram Akbarian Saravi · Joydeep Ghosh
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