amortized inference 1bayesian inference 1deep learning 1neural networks 1uncertainty quantification 1
From the 1 of 3 linked papers with an AI index.
3 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.ME2026
Regression modeling of multivariate precipitation extremes under regular variation
Rishikesh Yadav, Arnab Hazra
Motivated by the EVA2025 data challenge, where we participated as the team DesiBoys, we propose a regression strategy within the framework of regular variation to estimate the occu…
stat.AP2025
A Review of Statistical and Machine Learning Approaches for Coral Bleaching Assessment
Soham Sarkar, Arnab Hazra
Coral bleaching is a major concern for marine ecosystems; more than half of the world's coral reefs have either bleached or died over the past three decades. Increasing sea surface…