Workshop

A Convolutional Neural Network for Supernova Time-Series Classification
Helen Qu

Workshop

Sat 8:40

Yao Xie: Conformal prediction intervals and sets for time-series

Poster

Thu 15:00

Learning of Cluster-based Feature Importance for Electronic Health Record Time-series
Henrique Aguiar · Mauro Santos · Peter Watkinson · Tingting Zhu

Spotlight

Thu 11:00

Learning of Cluster-based Feature Importance for Electronic Health Record Time-series
Henrique Aguiar · Mauro Santos · Peter Watkinson · Tingting Zhu

Poster

Thu 15:00

Utilizing Expert Features for Contrastive Learning of Time-Series Representations
Manuel Nonnenmacher · Lukas Oldenburg · Ingo Steinwart · David Reeb

Workshop

CODiT: Conformal Out-of-Distribution Detection in Time-Series Data
Ramneet Kaur · Kaustubh Sridhar · Sangdon Park · Susmit Jha · Anirban Roy · Oleg Sokolsky · Insup Lee

Spotlight

Thu 12:50

Utilizing Expert Features for Contrastive Learning of Time-Series Representations
Manuel Nonnenmacher · Lukas Oldenburg · Ingo Steinwart · David Reeb

Poster

Wed 15:30

Unsupervised Time-Series Representation Learning with Iterative Bilinear Temporal-Spectral Fusion
Ling Yang · Shenda Hong

Spotlight

Wed 10:20

Unsupervised Time-Series Representation Learning with Iterative Bilinear Temporal-Spectral Fusion
Ling Yang · Shenda Hong

Poster

Tue 15:30

Volatility Based Kernels and Moving Average Means for Accurate Forecasting with Gaussian Processes
Gregory Benton · Wesley Maddox · Andrew Wilson

Poster

Tue 15:30

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

Poster

Tue 15:30

Neural Laplace: Learning diverse classes of differential equations in the Laplace domain
Samuel Holt · Zhaozhi Qian · Mihaela van der Schaar