IEEE 30-bus simulations show that fixed linear power-flow models become less accurate as operating conditions expand, while ...
Distributional regression (DR) refers to regression methods that model the entire conditional probability distribution of a response variable given a set of explanatory variables. The generalized ...
I have been continuing experiments on generative AI and research ethics lately; how is everyone doing? The tone of the title ...
When an agentic AI system hands a task from a small model to a larger one — or back down again — it pays a steep tax: the receiving model has to recompute the entire conversation from scratch, driving ...