Franscisco Mugica

Empirical Boundaries of Reservoir Computing for Few-Shot Sequence Pattern Tasks

Efficient sequence modeling remains a fundamental challenge in machine learning. Despite the success of Transformers, recurrent neural networks (RNNs) have recently re-emerged as efficient alternatives. Particularly, Echo State Networks (ESNs) offer a compelling framework of randomized RNNs that have been extensively s...