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Workshop
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Sat 8:40
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Yao Xie: Conformal prediction intervals and sets for time-series
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Workshop
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A Convolutional Neural Network for Supernova Time-Series Classification
Helen Qu
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Poster
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Thu 15:00
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Learning of Cluster-based Feature Importance for Electronic Health Record Time-series
Henrique Aguiar · Mauro Santos · Peter Watkinson · Tingting Zhu
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Spotlight
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Thu 11:00
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Learning of Cluster-based Feature Importance for Electronic Health Record Time-series
Henrique Aguiar · Mauro Santos · Peter Watkinson · Tingting Zhu
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Poster
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Thu 15:00
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Utilizing Expert Features for Contrastive Learning of Time-Series Representations
Manuel Nonnenmacher · Lukas Oldenburg · Ingo Steinwart · David Reeb
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Workshop
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CODiT: Conformal Out-of-Distribution Detection in Time-Series Data
Ramneet Kaur · Kaustubh Sridhar · Sangdon Park · Susmit Jha · Anirban Roy · Oleg Sokolsky · Insup Lee
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Spotlight
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Thu 12:50
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Utilizing Expert Features for Contrastive Learning of Time-Series Representations
Manuel Nonnenmacher · Lukas Oldenburg · Ingo Steinwart · David Reeb
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Poster
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Wed 15:30
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Unsupervised Time-Series Representation Learning with Iterative Bilinear Temporal-Spectral Fusion
Ling Yang · Shenda Hong
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Spotlight
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Wed 10:20
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Unsupervised Time-Series Representation Learning with Iterative Bilinear Temporal-Spectral Fusion
Ling Yang · Shenda Hong
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Poster
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Tue 15:30
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Volatility Based Kernels and Moving Average Means for Accurate Forecasting with Gaussian Processes
Gregory Benton · Wesley Maddox · Andrew Wilson
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Poster
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Tue 15:30
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A Deep Learning Approach for the Segmentation of Electroencephalography Data in Eye Tracking Applications
Lukas Wolf · Ard Kastrati · Martyna Plomecka · Jieming Li · Dustin Klebe · Alexander Veicht · Roger Wattenhofer · Nicolas Langer
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Oral
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Tue 13:45
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Neural Laplace: Learning diverse classes of differential equations in the Laplace domain
Samuel Holt · Zhaozhi Qian · Mihaela van der Schaar
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