Nature

Dynamic decision making simulation with limited data via causal inference

The application of machine learning in decision-making has become widespread. However, investigating the impact of interventions in decision-making tasks poses significant challenges, particularly in ...
InfoQ

How Causal Reasoning Addresses the Limitations of LLMs in Observability

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
Harvard Business School

Causal Interpretation of Structural IV Estimands

Andrews, Isaiah, Nano Barahona, Matthew Gentzkow, Ashesh Rambachan, and Jesse M. Shapiro. "Causal Interpretation of Structural IV Estimands." NBER Working Paper ...
Nature

A transformer guided multi modal learning framework for predictive and causal assessment of thermal runaway in high energy batteries

Machine Learning approaches from the present state either use unimodal data, unable to model elegant long spatial-temporal dependencies in warning systems or create early warning response datasets ...