Reservoir Computing Benchmarks: a review, a taxonomy, some best practices
<|reference_start|>Reservoir Computing Benchmarks: a review, a taxonomy, some best practices: Reservoir Computing is an Unconventional Computation model to perform computation on various different substrates, such as RNNs or physical materials. The method takes a "black-box" approach, training only the outputs of the system it is built on. As such, evaluating the computational capacity of these systems can be challenging. We review and critique the evaluation methods used in the field of Reservoir Computing. We introduce a categorisation of benchmark tasks. We review multiple examples of benchmarks from the literature as applied to reservoir computing, and note their strengths and shortcomings. We suggest ways in which benchmarks and their uses may be improved to the benefit of the reservoir computing community<|reference_end|>
@article{wringe2024reservoir,
    title={Reservoir Computing Benchmarks: a review, a taxonomy, some best
  practices},
    author={Chester Wringe, Martin Trefzer, Susan Stepney},
    journal={arXiv preprint arXiv:2405.06561},
    year={2024},
    archivePrefix={arXiv},
    eprint={2405.06561},
    primaryClass={cs.ET cs.LG cs.NE}
}