Venue | Title |
---|---|
ICML'24 | Position: What Can Large Language Models Tell Us about Time Series Analysis |
KDD'24 | Foundation Models for Time Series Analysis: A Tutorial and Survey |
Venue | Title | Keywords |
---|---|---|
ICML'24 | Unified Training of Universal Time Series Forecasting Transformers | Multivariate; Large-scale data; Variable window size |
ICML’24 | Timer: Generative Pre-trained Transformers Are Large Time Series Models | Channel independence; Large-scale data; Auto-regression |
arXiv’24 | UNITS: A Unified Multi-Task Time Series Model | One model for many tasks; Prompt tuning |
ICML'24 | MOMENT: A Family of Open Time-series Foundation Models | Masked auto-encoder pretraining |
ICML'24 | A decoder-only foundation model for time-series forecasting | Auto-regressive patch-wise decoding |
ICML'24 | TimeSiam: A Pre-Training Framework for Siamese Time-Series Modeling | Reconstruction |
Venue | Title | Keywords |
---|---|---|
ICML'24 | UP2ME: Univariate Pre-training to Multivariate Fine-tuning as a General-purpose Framework for Multivariate Time Series Analysis | Masked auto-encoder pretraining; Variable window size; Multivariate fine-tuning |
ICML'24 | Multi-Patch Prediction: Adapting LLMs for Time Series Representation Learning | Autoregressive patch-wise decoding |
Venue | Title | Keywords |
---|---|---|
ICML'24 | Time Weaver: A Conditional Time Series Generation Model | Diffusion |
ICML'24 | S$^2$IP-LLM: Semantic Space Informed Prompt Learning with LLM for Time Series Forecasting | Retrieve word embeddings |
KDD'24 | POND: Multi-Source Time Series Domain Adaptation with Information-Aware Prompt Tuning | Transfer |
Venue | Title | Keywords |
---|---|---|
ICML'24 | An Analysis of Linear Time Series Forecasting Models | Mathematical proof |
ICML'24 | SparseTSF: Modeling Long-term Time Series Forecasting with 1k Parameters |
Venue | Title | Keywords |
---|---|---|
ICML'24 | SIN: Selective and Interpretable Normalization for Long-Term Time Series Forecasting |
Venue | Title | Keywords |
---|---|---|
ICML'24 | Time-Series Forecasting for Out-of-Distribution Generalization Using Invariant Learning |
Venue | Title | Keywords |
---|---|---|
ICML'24 | CATS: Enhancing Multivariate Time Series Forecasting by Constructing Auxiliary Time Series as Exogenous Variables |
Venue | Title | Keywords |
---|---|---|
MoAT: Multi-Modal Augmented Time Series Forecasting | News article |