29 citations · 64 across the 6 of their papers we have counts for
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stat.ML2023
Bayesian neural networks via MCMC: a Python-based tutorial
Rohitash Chandra, Joshua Simmons
Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Ch…
stat.ML2018
Surrogate-assisted Bayesian inversion for landscape and basin evolution models
Rohitash Chandra, Danial Azam, Arpit Kapoor +1
The complex and computationally expensive nature of landscape evolution models pose significant challenges in the inference and optimisation of unknown parameters. Bayesian inferen…