Leveraging Time Series Categorization and Temporal Fusion Transformers to Improve Cryptocurrency Price Forecastingby Arash Peik,…
Cherry-Picking in Time Series Forecasting: How to Select Datasets to Make Your Model Shineby Luis…
Spatio-Temporal Forecasting of PM2.5 via Spatial-Diffusion guided Encoder-Decoder Architectureby Malay Pandey, Vaishali Jain, Nimit Godhani,…
PreMixer: MLP-Based Pre-training Enhanced MLP-Mixers for Large-scale Traffic Forecastingby Tongtong Zhang, Zhiyong Cui, Bingzhang Wang,…
AnchorInv: Few-Shot Class-Incremental Learning of Physiological Signals via Representation Space Guided Inversionby Chenqi Li, Boyan…
Content-aware Balanced Spectrum Encoding in Masked Modeling for Time Series Classificationby Yudong Han, Haocong Wang,…
A Comparative Study of Pruning Methods in Transformer-based Time Series Forecastingby Nicholas Kiefer, Arvid Weyrauch,…
TimeCHEAT: A Channel Harmony Strategy for Irregularly Sampled Multivariate Time Series Analysisby Jiexi Liu, Meng…
Are Large Language Models Useful for Time Series Data Analysis?by Francis Tang, Ying DingFirst submitted…
Apollo-Forecast: Overcoming Aliasing and Inference Speed Challenges in Language Models for Time Series Forecastingby Tianyi…