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Poster
Wed 4:30 A decoder-only foundation model for time-series forecasting
Abhimanyu Das · Weihao Kong · Rajat Sen · Yichen Zhou
Affinity Workshop
Mon 5:15 DynaGraph: Dynamic Contrastive Graph for Interpretable Multi-label Prediction using Time-Series EHR Data
Poster
Wed 4:30 Efficient and Effective Time-Series Forecasting with Spiking Neural Networks
Changze Lv · Yansen Wang · Dongqi Han · Xiaoqing Zheng · Xuanjing Huang · Dongsheng Li
Workshop
DynaGraph: Dynamic Contrastive Graph for Interpretable Multi-label Prediction using Time-Series EHR Data
Munib Mesinovic · Soheila Molaei · Peter Watkinson · Tingting Zhu
Workshop
Conditional Flow Matching for Time Series Modelling
Ella Tamir · Najwa Laabid · Markus Heinonen · Vikas Garg · Arno Solin
Poster
Tue 4:30 TimeSiam: A Pre-Training Framework for Siamese Time-Series Modeling
Jiaxiang Dong · Haixu Wu · Yuxuan Wang · Yun-Zhong Qiu · Li Zhang · Jianmin Wang · Mingsheng Long
Poster
Tue 2:30 MOMENT: A Family of Open Time-series Foundation Models
Mononito Goswami · Konrad Szafer · Arjun Choudhry · Yifu Cai · Shuo Li · Artur Dubrawski
Workshop
A Classifier-Based Approach to Multi-Class Anomaly Detection Applied to Astronomical Time-Series
Daniel Muthukrishna · Rithwik Gupta
Workshop
Decomposed Linear Dynamical Systems (dLDS) for identifying the latent dynamics underlying high-dimensional time-series
Noga Mudrik · Yenho Chen · Eva Yezerets · Christopher Rozell · Adam Charles
Poster
Thu 2:30 Time-Series Forecasting for Out-of-Distribution Generalization Using Invariant Learning
Haoxin Liu · Harshavardhan Kamarthi · Lingkai Kong · Zhiyuan Zhao · Chao Zhang · B. Aditya Prakash
Poster
Wed 4:30 TimeX++: Learning Time-Series Explanations with Information Bottleneck
Zichuan Liu · Tianchun Wang · Jimeng Shi · Xu Zheng · Zhuomin Chen · Lei Song · Wenqian Dong · Jayantha Obeysekera · Farhad Shirani · Dongsheng Luo
Affinity Workshop
Mon 5:00 Transformer-Based Astronomical Time Series Model with Uncertainty Estimation for Detecting Misclassified Instances