Feasibility of machine learning-based rice yield prediction in India at the district level using climate…
A Theoretical Analysis of Self-Supervised Learning for Vision Transformersby Yu Huang, Zixin Wen, Yuejie Chi,…
Downstream Task Guided Masking Learning in Masked Autoencoders Using Multi-Level Optimizationby Han Guo, Ramtin Hosseini,…
DiffPLF: A Conditional Diffusion Model for Probabilistic Forecasting of EV Charging Loadby Siyang Li, Hui…
Interpretable Short-Term Load Forecasting via Multi-Scale Temporal Decompositionby Yuqi Jiang, Yan Li, Yize ChenFirst submitted…
Parametric Augmentation for Time Series Contrastive Learningby Xu Zheng, Tianchun Wang, Wei Cheng, Aitian Ma,…
GeoFormer: A Vision and Sequence Transformer-based Approach for Greenhouse Gas Monitoringby Madhav Khirwar, Ankur NarangFirst…
Rethinking Graph Masked Autoencoders through Alignment and Uniformityby Liang Wang, Xiang Tao, Qiang Liu, Shu…
A hybrid IndRNNLSTM approach for real-time anomaly detection in software-defined networksby Sajjad Salem, Salman AsoudehFirst…
Task-customized Masked AutoEncoder via Mixture of Cluster-conditional Expertsby Zhili Liu, Kai Chen, Jianhua Han, Lanqing…