TOTEM: TOkenized Time Series EMbeddings for General Time Series Analysisby Sabera Talukder, Yisong Yue, Georgia…
Generative Pretrained Hierarchical Transformer for Time Series Forecastingby Zhiding Liu, Jiqian Yang, Mingyue Cheng, Yucong…
GARNN: An Interpretable Graph Attentive Recurrent Neural Network for Predicting Blood Glucose Levels via Multivariate…
Predicting Outcomes in Video Games with Long Short Term Memory Networksby Kittimate Chulajata, Sean Wu,…
United We Pretrain, Divided We Fail! Representation Learning for Time Series by Pretraining on 75…
Towards Principled Task Grouping for Multi-Task Learningby Chenguang Wang, Xuanhao Pan, Tianshu YuFirst submitted to…
Deep Coupling Network For Multivariate Time Series Forecastingby Kun Yi, Qi Zhang, Hui He, Kaize…
Stable Neural Stochastic Differential Equations in Analyzing Irregular Time Series Databy YongKyung Oh, Dong-Young Lim,…
Generative Adversarial Network with Soft-Dynamic Time Warping and Parallel Reconstruction for Energy Time Series Anomaly…
Motion Code: Robust Time Series Classification and Forecasting via Sparse Variational Multi-Stochastic Processes Learningby Chandrajit…