Generalizing to new geometries with Geometry-Aware Autoregressive Models (GAAMs) for fast calorimeter simulation
Summary
Generalizing to new geometries with Geometry-Aware Autoregressive Models (GAAMs) for fast calorimeter simulation is a scholarly article[1].
Key Facts
Generalizing to new geometries with Geometry-Aware Autoregressive Models (GAAMs) for fast calorimeter simulation's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Generalizing to new geometries with Geometry-Aware Autoregressive Models (GAAMs) for fast calorimeter simulation. Retrieved May 24, 2026, from https://4ort.xyz/entity/generalizing-to-new-geometries-with-geometry-aware-autoregressive-models-gaams-for-fast-calorimeter-simulation
MLA“Generalizing to new geometries with Geometry-Aware Autoregressive Models (GAAMs) for fast calorimeter simulation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/generalizing-to-new-geometries-with-geometry-aware-autoregressive-models-gaams-for-fast-calorimeter-simulation.
BibTeX@misc{4ortxyz_generalizing-to-new-geometries-with-geometry-aware-autoregressive-models-gaams-for-fast-calorimeter-simulation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Generalizing to new geometries with Geometry-Aware Autoregressive Models (GAAMs) for fast calorimeter simulation}}, year = {2026}, url = {https://4ort.xyz/entity/generalizing-to-new-geometries-with-geometry-aware-autoregressive-models-gaams-for-fast-calorimeter-simulation}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Generalizing to new geometries with Geometry-Aware Autoregressive Models (GAAMs) for fast calorimeter simulation — https://4ort.xyz/entity/generalizing-to-new-geometries-with-geometry-aware-autoregressive-models-gaams-for-fast-calorimeter-simulation (retrieved 2026-05-24)
