
COnditional Normalizing Flow based 1D stellar EvolutioN aCCElerator A fast, flexible stellar population synthesis tool powered by machine learning. CONF1DENCE uses conditional normalizing flows to emulate 1D stellar evolution models, enabling rapid generation of synthetic stellar populations with realistic observational effects.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
