2 papers
cs.LG2025
Light-Weight Diffusion Multiplier and Uncertainty Quantification for Fourier Neural Operators
Albert Matveev, Sanmitra Ghosh, Aamal Hussain +2
Operator learning is a powerful paradigm for solving partial differential equations, with Fourier Neural Operators serving as a widely adopted foundation. However, FNOs face signif…
stat.ML2024
Sample-efficient neural likelihood-free Bayesian inference of implicit HMMs
Sanmitra Ghosh, Paul J. Birrell, Daniela De Angelis
Likelihood-free inference methods based on neural conditional density estimation were shown to drastically reduce the simulation burden in comparison to classical methods such as A…