49 citations · 172 across the 25 of their papers we have counts for
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stat.ML2018★ 22 cited
Deep Gaussian Processes with Convolutional Kernels
Vinayak Kumar, Vaibhav Singh, P. K. Srijith +1
Deep Gaussian processes (DGPs) provide a Bayesian non-parametric alternative to standard parametric deep learning models. A DGP is formed by stacking multiple GPs resulting in a we…
astro-ph.IM2018★ 24 cited
Variational Inference as an alternative to MCMC for parameter estimation and model selection
Geetakrishnasai Gunapati, Anirudh Jain, P. K. Srijith +1
Most applications of Bayesian Inference for parameter estimation and model selection in astrophysics involve the use of Monte Carlo techniques such as Markov Chain Monte Carlo (MCM…