amortized inference 1bayesian inference 1deep learning 1neural networks 1uncertainty quantification 1
From the 1 of 2 linked papers with an AI index.
2 papers
stat.ML2026
Neural Architectures for Amortized Bayesian Inference: Statistical Foundations and Empirical Assessments
Roy Shivam Ram Shreshtth, Arnab Hazra, Gourab Mukherjee
The paper examines how neural network architectures such as feedforward nets, Deep Sets, and Transformers can be used to amortize Bayesian inference, providing fast approximate pos…
stat.ME2025
Cluster weighted models with multivariate skewed distributions for functional data
Cristina Anton, Roy Shivam Ram Shreshtth
We propose a clustering method, funWeightClustSkew, based on mixtures of functional linear regression models and three skewed multivariate distributions: the variance-gamma distrib…