AutoSciLab combines generative modeling, active learning, and symbolic regression into one loop, but its headline nanophotonics discovery is validated only on a neural-network surrogate and its Ising rediscovery presumes the target equation in the data transform.
L.; Lei, B.; Francis, T.; and Holm, E
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AutoSciLab: A Self-Driving Laboratory For Interpretable Scientific Discovery
AutoSciLab combines generative modeling, active learning, and symbolic regression into one loop, but its headline nanophotonics discovery is validated only on a neural-network surrogate and its Ising rediscovery presumes the target equation in the data transform.