Mitigating Representation Gaps in Amortized Bayesian Inference with Auxiliary Supervision
stat.ML, cs.LG, stat.CO, stat.ME
Submitted: 2026-09-30
Updated: 2026-09-30
Terminology
Sources
- Analyzing Inverse Problems with Invertible Neural Networks
- Diffusion Models in Simulation-Based Inference: A Tutorial Review
- Neural Approximate Sufficient Statistics for Implicit Models
- Balancing Simulation-based Inference for Conservative Posteriors
- Density estimation using Real NVP
- The Statistical Accuracy of Neural Posterior and Likelihood Estimation
- How Does Information Bottleneck Help Deep Learning?
- Minimum Distance Summaries for Robust Neural Posterior Estimation
- Adam: A Method for Stochastic Optimization
- BayesFlow 2: Multi-Backend Amortized Bayesian Inference in Python
- Simulation-Based Inference of Strong Gravitational Lensing Parameters
- Flow Matching for Generative Modeling
- Theoretical guarantees for neural estimators in parametric statistics
- Domain-Adaptive Neural Posterior Estimation for Strong Gravitational Lens Analysis
- Validating Bayesian Inference Algorithms with Simulation-Based Calibration
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