We developed a data-driven model to map stellar parameters (Teff, , and ) accurately precisely broadband photometry. This must, does, simultaneously constrain the passband-specific dust reddening vector in Milky Way, R. The uses neural network learn (de-reddened) absolute magnitude one band colors across many bands, given from spectroscopic surveys parallax constraints Gaia. To demonstrate effe...
