Lorenz-63

The Lorenz-63 dataset is a low-dimensional chaotic system used to evaluate the forecasting performance of different computational models, particularly in terms of their ability to handle long-term temporal dependencies and computational efficiency.

Papers using Lorenz-63 (4)

A Distribution-to-Distribution Neural Probabilistic Forecasting Framework for Dynamical Systems2026Sequential Reservoir Computing for Efficient High-Dimensional Spatiotemporal Forecasting2026Ellipsoidal Time Series Forecasting2025Brain-Inspired Spiking Neural Network for Online Unsupervised Time Series Prediction2023 · 5 cites