MLSP-L11: Representation Learning for Time Series Forecasting
Oral
Wed, 6 May, 14:00 - 16:00
Location: Room 112
Session Type: Oral
Track: Machine Learning for Signal Processing [ML]
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Wed, 6 May, 14:00 - 14:20

MLSP-L11.1: MPL-MOE: MULTI-MODAL PROMPT LEARNING WITH MIXTURE OF EXPERTS FOR MULTIVARIATE TIME SERIES FORECASTING
Rui Hou, Yao Liu, Jingbo Wang, Qiao Liu, Lanyi Zhang, Weiyi Zhou, University of Electronic Science and Technology of China, China
Wed, 6 May, 14:20 - 14:40

MLSP-L11.2: WaveFormer: Wavelet-Enhanced Transformer for Multi-Scale Representation Learning in Time Series Forecasting
Boya Zhang, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China; Longfei Liu, Nanjing University, China; Dan Wu, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China
Wed, 6 May, 14:40 - 15:00

MLSP-L11.3: PLUG-AND-PLAY TEMPORAL FOURIER EMBEDDING FOR ROBUST LONG-HORIZON TRAFFIC FLOW FORECASTING
Peng Wang, Hairui Sun, Kanghua Hui, Civil Aviation University of China, China
Wed, 6 May, 15:00 - 15:20

MLSP-L11.4: DEEP TPC: TEMPORAL-PRIOR CONDITIONING FOR TIME SERIES FORECASTING
Filippos Bellos, NaveenJohn Premkumar, University of Michigan, United States of America; Yannis Avrithis, Independent Scientist, United States of America; Nam Nguyen, Capital One, United States of America; Jason Corso, University of Michigan, United States of America
Wed, 6 May, 15:20 - 15:40

MLSP-L11.5: CHANNEL-WISE RETRIEVAL FOR MULTIVARIATE TIME SERIES FORECASTING
Junhyeok Kang, Jun Seo, Soyeon Park, Sangjun Han, Seohui Bae, Hyeokjun Choe, Soonyoung Lee, LG AI Research, Korea, Republic of
Wed, 6 May, 15:40 - 16:00

MLSP-L11.6: S2TX: CROSS-ATTENTION MULTI-SCALE STATE-SPACE TRANSFORMER FOR TIME SERIES FORECASTING
Zihao Wu, Haoming Yang, Juncheng Dong, Vahid Tarokh, Duke University, United States of America