efficient-learning

This paper presents K2SVD, a principled method for learning Koopman operator representations with Kalman inference to achieve efficient and accurate time-series prediction, demonstrating superior performance over existing state-of-the-art approaches.

Introduces a novel cognitive architecture that learns without backpropagation, GPUs, or forgetting, mimicking biological learning.