GFlowNets sample multiple valid mechanistic simulator configurations for digital twin adaptation, recovering main parameter regions and preserving uncertainty in a tomato model case study.
T., Uryasev, S.et al.Optimization of conditional value-at-risk
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Generative Flow Networks for Model Adaptation in Digital Twins of Natural Systems
GFlowNets sample multiple valid mechanistic simulator configurations for digital twin adaptation, recovering main parameter regions and preserving uncertainty in a tomato model case study.