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Workshop
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Fri 9:30
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Empirical Evaluation of Data Augmentations for Biobehavioral Time Series Data with Deep Learning
Huiyuan Yang · Han Yu · Akane Sano
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Workshop
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Fri 13:00
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Prediction-Constrained Markov Models for Medical Time Series with Missing Data and Few Labels
Preetish Rath · Gabe Hope · Kyle Heuton · Erik Sudderth · Michael Hughes
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Workshop
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Fri 9:00
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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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Fri 13:00
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SurviVAEl: Variational Autoencoders for Clustering Time Series
Stefan Groha · Alexander Gusev · Sebastian Schmon
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Poster
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Tue 9:00
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C2FAR: Coarse-to-Fine Autoregressive Networks for Precise Probabilistic Forecasting
Shane Bergsma · Tim Zeyl · Javad Rahimipour Anaraki · Lei Guo
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Poster
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Tue 14:00
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Self-Supervised Contrastive Pre-Training For Time Series via Time-Frequency Consistency
Xiang Zhang · Ziyuan Zhao · Theodoros Tsiligkaridis · Marinka Zitnik
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Poster
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Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting
Yong Liu · Haixu Wu · Jianmin Wang · Mingsheng Long
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Workshop
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Few-Shot Learnable Augmentation for Financial Time Series Prediction under Distribution Shifts
Dat Huynh · Elizabeth Fons · Svitlana Vyetrenko
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Workshop
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Fri 13:00
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Continuous Time Evidential Distributions for Processing Irregular Time Series
Taylor Killian · Ava Soleimany
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Workshop
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Fri 7:00
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Learning from Time Series for Health
Sana Tonekaboni · Thomas Hartvigsen · Satya Narayan Shukla · Gunnar Rätsch · Marzyeh Ghassemi · Anna Goldenberg
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Workshop
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Sat 13:42
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A Balanced Design of Time Series Experiments
Tu Ni · Iavor Bojinov · Jinglong Zhao
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Workshop
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Learning Mixture Structure on Multi-Source Time Series for Probabilistic Forecasting
Tian Guo
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