ICML "multivariate time series" Papers
7 papers found
BayOTIDE: Bayesian Online Multivariate Time Series Imputation with Functional Decomposition
Shikai Fang, Qingsong Wen, Yingtao Luo et al.
ICML 2024oral
CauDiTS: Causal Disentangled Domain Adaptation of Multivariate Time Series
Junxin Lu, Shiliang Sun
ICML 2024poster
Conformal prediction for multi-dimensional time series by ellipsoidal sets
Chen Xu, Hanyang Jiang, Yao Xie
ICML 2024spotlight
Jacobian Regularizer-based Neural Granger Causality
Wanqi Zhou, Shuanghao Bai, Shujian Yu et al.
ICML 2024poster
Log Neural Controlled Differential Equations: The Lie Brackets Make A Difference
Benjamin Walker, Andrew McLeod, Tiexin QIN et al.
ICML 2024poster
Unified Training of Universal Time Series Forecasting Transformers
Gerald Woo, Chenghao Liu, Akshat Kumar et al.
ICML 2024poster
UP2ME: Univariate Pre-training to Multivariate Fine-tuning as a General-purpose Framework for Multivariate Time Series Analysis
Yunhao Zhang, Liu Minghao, Shengyang Zhou et al.
ICML 2024oral