MLSP-L15: Foundation and Representation Learning for Time Series
Oral
Wed, 6 May, 16:30 - 18:30
Location: Room 112
Session Type: Oral
Track: Machine Learning for Signal Processing [ML]
Click the to view the manuscript on IEEE Xplore Open Preview
Wed, 6 May, 16:30 - 16:50

MLSP-L15.1: I 2CAR: INTRA- AND INTER-VARIATE CONSISTENCY CONTRASTIVE ADVERSARIAL REPRESENTATION LEARNING FOR MULTIVARIATE TIME SERIES ANOMALY DETECTION
Jionghuan Chen, Qixue He, Yong Zhong, University of Chinese Academy of Sciences, China; Yunbo Rao, University of Electronic Science and Technology of China, China; Xiaolin Qin, University of Chinese Academy of Sciences, China; Lishun Wang, Westlake University, China
Wed, 6 May, 16:50 - 17:10

MLSP-L15.2: LOGIX: LOCAL-GLOBAL MIXERS FOR TIME SERIES REPRESENTATION LEARNING
Jiali Deng, South China University of Technology, China; Bolun Cai, ByteDance Ltd, China; Yuqing Chen, Ying Hao, Kunkun Liu, Zhanpeng Jin, South China University of Technology, China
Wed, 6 May, 17:10 - 17:30

MLSP-L15.3: A DUAL-PATH MAMBA WITH FIXED AND VARIABLE PATCHES FOR TIME SERIES FORECASTING
Wenyuan Wang, Xingfeng Lv, Xinyu Zhang, Qianqian Ren, Hui Xu, Heilongjiang University, China
Wed, 6 May, 17:30 - 17:50

MLSP-L15.4: Enhancing Spatio-Temporal Forecasting with Spatial Neighbourhood Fusion: A Case Study on Mobility in Peru
Chuan LI, Sorbonne Université, France; Jiang YOU, LISSI, Université Paris-Est Créteil, France; Hassine MOUNGLA, LIPADE, Université Paris Cité / TSP, Institut Polytechnique de Paris, France; Vincent GAUTHIER, SAMOVAR, Telecom SudParis, Institut Polytechnique de Paris, France; Miguel Nunez-del-Prado, The World Bank, United States of America; Hugo ALATRISTA-SALAS, De Vinci Higher Education, De Vinci Research Center, France
Wed, 6 May, 17:50 - 18:10

MLSP-L15.5: RETHINKING LARGE LANGUAGE MODELS FOR IRREGULAR TIME SERIES CLASSIFICATION IN CRITICAL CARE
Feixiang Zheng, The University of Melbourne, Australia; Yu Wu, Cecilia Mascolo, University of Cambridge, United Kingdom of Great Britain and Northern Ireland; Ting Dang, The University of Melbourne, Australia
Wed, 6 May, 18:10 - 18:30

MLSP-L15.6: TIME SERIES ATTRIBUTES GUIDED PRETRAINING DATA SELECTION FOR TIME SERIES FOUNDATION MODELS
Kumar Saurav, Vinamra Baghel, Ayush Jain, Ranjini B Guruprasad, IBM Research Labs, India