Ayush Bharti

We introduce a novel framework that seamlessly integrates amortized Bayesian inference and active data acquisition, featuring adaptive strategies that can optimize for diverse, user-specified learning objectives at deployment.

We propose a multi-fidelity simulation-based inference method based on multilevel Monte Carlo for computationally costly simulators.