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Short-horizon forecasting of fine particulate matter (PM2.5) remains difficult when observations from the target doma...
Neural Architecture Search (NAS) aims to automate neural network architecture design, reducing reliance on human expe...
As heterogeneous robotic systems deploy across diverse urban zones, maintaining safety amid complex human-robot inter...
We present a Test-time World-model Inference (Twin) system, in which a frontier coding agent writes an executable wor...
Network-level maintenance planning requires repeated evaluations of equilibrium traffic flows under road capacity red...
Cross-Tabular Data Generation (CTDG) seeks to learn a generative model from multiple heterogeneous tables and produce...
Free energies govern solid-state phase stability, yet computational materials discovery still relies largely on groun...
Recipe data arises in domains such as materials synthesis, pharmaceutical formulation, and industrial manufacturing, ...
Systems that ask a language model to reach a conclusion from many sources usually concatenate them into one prompt. T...
High-order multiple-input multiple-output (MIMO) detection requires efficient search over a large discrete symbol spa...
As AI systems make more morally loaded decisions across society, one response has been moral preference elicitation. ...
This study investigates the methodological and theoretical properties of session handover in applications that use la...