RL agent for online LHC trigger threshold tuning improves in-tolerance intervals by 28-56% on Monte Carlo and real CMS data without fine-tuning.
Gate-variants of gated recurrent unit (gru) neural networks
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MeteoLogist improves nowcasting by processing radar data through physics-tailored encoders, temporal-phase alignment, and cross-field spatial aggregation to capture asynchronous and fragmented meteorological drivers, yielding +9.7% CSI40 gain and 37.67% gain in storm-developing stage on 3D-NEXRAD da
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Learning to Trigger: Reinforcement Learning at the Large Hadron Collider
RL agent for online LHC trigger threshold tuning improves in-tolerance intervals by 28-56% on Monte Carlo and real CMS data without fine-tuning.
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Seeing Inside the Storm: Improving Nowcasting by Integrating Meteorological Drivers
MeteoLogist improves nowcasting by processing radar data through physics-tailored encoders, temporal-phase alignment, and cross-field spatial aggregation to capture asynchronous and fragmented meteorological drivers, yielding +9.7% CSI40 gain and 37.67% gain in storm-developing stage on 3D-NEXRAD da