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Workshop
Scalable Spatiotemporal Graph Neural Networks
Andrea Cini · Ivan Marisca · Filippo Maria Bianchi · Cesare Alippi
Workshop
Learning Heterogeneous Interaction Strengths by Trajectory Prediction with Graph Neural Network
Seungwoong Ha · Hawoong Jeong
Workshop
Fri 9:00 Fair Multimodal Checklists for Interpretable Clinical Time Series Prediction
Qixuan Jin · Haoran Zhang · Thomas Hartvigsen · Marzyeh Ghassemi
Poster
Tue 9:00 Learning Latent Seasonal-Trend Representations for Time Series Forecasting
Zhiyuan Wang · Xovee Xu · Weifeng Zhang · Goce Trajcevski · Ting Zhong · Fan Zhou
Poster
Thu 9:00 Distinguishing discrete and continuous behavioral variability using warped autoregressive HMMs
Julia Costacurta · Lea Duncker · Blue Sheffer · Winthrop Gillis · Caleb Weinreb · Jeffrey Markowitz · Sandeep R Datta · Alex Williams · Scott Linderman
Poster
Wed 9:00 Learning to Reconstruct Missing Data from Spatiotemporal Graphs with Sparse Observations
Ivan Marisca · Andrea Cini · Cesare Alippi
Poster
Tue 14:00 FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting
Tian Zhou · Ziqing MA · xue wang · Qingsong Wen · Liang Sun · Tao Yao · Wotao Yin · Rong Jin
Workshop
Fri 12:30 Contrastive Pre-Training for Multimodal Medical Time Series
Aniruddh Raghu · Payal Chandak · Ridwan Alam · John Guttag · Collin Stultz
Affinity Workshop
Simulating Health Time Series by Data Augmentation
Louis Gomez · Adedolapo Toye · Robert Hum · Samantha Kleinberg
Poster
Thu 14:00 SIXO: Smoothing Inference with Twisted Objectives
Dieterich Lawson · Allan Raventós · andrew warrington · Scott Linderman
Poster
Thu 9:00 Diagonal State Spaces are as Effective as Structured State Spaces
Ankit Gupta · Albert Gu · Jonathan Berant
Workshop
Image recognition time for humans predicts adversarial vulnerability for models
David Mayo · Jesse Cummings · Xinyu Lin · Boris Katz · Andrei Barbu