activity
20182026
most cited{\sc mirkwood:} Fast and Accurate SED Modeling Using Machine Learning

33 citations · 91 across the 17 of their papers we have counts for

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astro-ph.IM2023★ 1 cited

Beyond mirkwood: Enhancing SED Modeling with Conformal Predictions

Sankalp Gilda

Traditional spectral energy distribution (SED) fitting techniques face uncertainties due to assumptions in star formation histories and dust attenuation curves. We propose an advan…

astro-ph.SR2023★ 1 cited

deep-REMAP: Parameterization of Stellar Spectra Using Regularized Multi-Task Learning

Sankalp Gilda

Traditional spectral analysis methods are increasingly challenged by the exploding volumes of data produced by contemporary astronomical surveys. In response, we develop deep-Regul…