Drift removal in plant electrical signals via IIR filtering using wavelet energy. - Saptarshi Das; Barry Juans Ajiwibawa; Shre Kumar Chatterjee; Sanmitra Ghosh; Koushik Maharatna; Srinandan Dasmahapatra; Andrea Vitaletti; Elisa Masi; Stefano Mancuso (Comput. Electron. Agric., 2015)

Partner Selection and the Division of Surplus: Evidence from Ultimatum and Dictator Experiments. - Priyodorshi Banerjee; Sujoy Chakravarty; Sanmitra Ghosh (Games, 2016)

Fast approximate Bayesian computation for estimating parameters in differential equations. - Sanmitra Ghosh; Srinandan Dasmahapatra; Koushik Maharatna (Stat. Comput., 2017)

Probabilistic Inference on Noisy Time Series (PINTS). - Michael Clerx; Martin Robinson; Ben Lambert; Chon Lok Lei; Sanmitra Ghosh; Gary R. Mirams; David J. Gavaghan (CoRR, 2018)

Variational inference for nonlinear ordinary differential equations. - Sanmitra Ghosh; Paul Birrell; Daniela De Angelis (AISTATS, 2021)

Differentiable Bayesian inference of SDE parameters using a pathwise series expansion of Brownian motion. - Sanmitra Ghosh; Paul J. Birrell; Daniela De Angelis (AISTATS, 2022)

An approximate diffusion process for environmental stochasticity in infectious disease transmission modelling. - Sanmitra Ghosh; Paul J. Birrell; Daniela De Angelis (PLoS Comput. Biol., 2023)

Sample-efficient neural likelihood-free Bayesian inference of implicit HMMs. - Sanmitra Ghosh; Paul Birrell; Daniela De Angelis (AISTATS, 2024)

Light-Weight Diffusion Multiplier and Uncertainty Quantification for Fourier Neural Operators. - Albert Matveev; Sanmitra Ghosh; Aamal Hussain; James-Michael Leahy; Michalis Michaelides (CoRR, 2025)