Luise Ge

Stop training in isolation: LNTrust lets decentralized models learn *who* to trust during training, so they can collaborate effectively at deployment, boosting accuracy and cutting communication costs.

Achieve polynomial-time first-order probabilistic inference by implicitly learning from incomplete data and performing lifted inference over both individuals and possible worlds, sidestepping the need for explicit model construction.