forecasting

“I built this 3D sim to visualize how a 1D-CNN processes time-series data (the yellow box is the kernel sliding across time).”

“RefineBridge improves financial forecasting by leveraging foundation models.”

“The study focuses on high-dimensional multi-task forecasting within a cloud-native backend.”

“The article likely discusses subscription strategy optimization.”

“The article focuses on explainable time-series forecasting using a sampling-free SHAP approach for Transformers.”

“The article's context provides the title, which suggests an investigation into the nature of macroeconomic instability within the framework of Vector Autoregressions.”

“The paper focuses on enhancing zero-shot time series forecasting.”

“The paper uses Spatio-Temporal Graph Neural Networks.”

“The study focuses on Reduced Order Modeling for Tsunami Forecasting.”

“The study focuses on developing a model for MJO forecast.”

“The source is an ArXiv paper, indicating a focus on academic research.”

“The research focuses on injecting geostatistical covariance biases into self-attention for spatio-temporal forecasting.”

“The article is based on an ArXiv paper, indicating it's a recent research contribution.”

“The research focuses on adaptive buffer control in warehouse volume forecasting.”

“The article's focus is on robust long-term forecasting of global stock indices for investment decisions.”

“The paper focuses on Grid-Aware Load Forecasting with Multi-Source Textual Alignment and Fusion.”

“The context only mentions the title and source.”

“The paper focuses on multivariate time series forecasting with a hybrid Euclidean-SPD Manifold Graph Neural Network.”

“The study focuses on SSH dynamics and altimetry data.”

“The study is based on research published on ArXiv.”

“The article's context indicates the research focuses on end-to-end solutions for microgrid operations and probabilistic forecasting.”

“The article's source is ArXiv, suggesting peer-reviewed or preliminary findings.”

“Skillful Subseasonal-to-Seasonal Forecasting of Extreme Events.”

“The paper uses LSTM Networks for Volatility Forecasting.”

“Diffusion-Based Probabilistic Streamflow Forecasting with a State Space Backbone”

“The research focuses on Plug-In Adversarial Detection for Time-Series LLMs in Energy Forecasting.”

“The article's focus is on using causal inference in energy demand prediction.”

“The article is sourced from ArXiv.”

“The research focuses on contrastive time series forecasting with anomalies.”

“The study focuses on comparing Neural Ordinary Differential Equations and Universal Differential Equations.”