Diffusion Models in Simulation-Based Inference: A Tutorial Review
stat.ML, cs.LG, stat.ME
Submitted: 2025-12-22
Updated: 2026-08-31
Project page: https://ml4physicalsciences.github.io/2024/files/NeurIPS_ML4PS_2024_26.pdf
Terminology
Sources
- Layer Normalization
- Conformal C2ST: Turning weak classifiers into strong two-sample tests
- Amortised and provably-robust simulation-based inference
- Mixed neural posterior estimation for simulators with discrete and continuous parameters
- The Curse of Conditions: Analyzing and Improving Optimal Transport for Conditional Flow-Based Generation
- A Survey on Diffusion Models for Inverse Problems
- Target Score Matching
- Low-Budget Simulation-Based Inference with Bayesian Neural Networks
- Causal Posterior Estimation
- The Statistical Accuracy of Neural Posterior and Likelihood Estimation
- Bayesian Workflow
- Do Diffusion Models Dream of Electric Planes? Discrete and Continuous Simulation-Based Inference for Aircraft Design
- Scalable Simulation-Based Model Inference with Test-Time Complexity Control
- A COMPASS to Model Comparison and Simulation-Based Inference in Galactic Chemical Evolution
- An Introduction to Flow Matching and Diffusion Models
- Generator Matching: Generative modeling with arbitrary Markov processes
- Conditional Flow Matching for Bayesian Posterior Inference
- Simulation-based Inference via Langevin Dynamics with Score Matching
- Gotta Go Fast When Generating Data with Score-Based Models
- Simulation-based Bayesian inference under model misspecification
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