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GFlowNets for AI-driven scientific discovery
GFlowNets for AI-driven scientific discovery
PulseAugur coverage of GFlowNets for AI-driven scientific discovery — every cluster mentioning GFlowNets for AI-driven scientific discovery across labs, papers, and developer communities, ranked by signal.
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论文 · 30天
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情绪 · 30 天
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New method decomposes uncertainty in generative AI for scientific discovery
Researchers have developed a new method to decompose epistemic uncertainty in sequential generative models, particularly those used in AI-driven scientific discovery. By fitting polynomial chaos expansions to ensembles …
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Stable GFlowNets algorithm improves training stability and fidelity
Researchers have introduced Stable GFlowNets, an algorithm designed to address training instability in Generative Flow Networks (GFlowNets). These networks are used for sampling states proportional to rewards but often …