Diffusion Models In Simulation-Based Inference: A Tutorial Review

This repository hosts the experimental results for a review on diffusion models in Simulation-Based Inference (SBI).

Contents

Several case studies illustrating the application of diffusion models in SBI:

• intro_example: Inverse kinematics.
• case_study1: Low-dimensional benchmarks in SBI.
• case_study2: High-dimensional ODE task.
• case_study3: Gaussian-Random-Field task.
• case_study4: Compositional score matching example.

Requirements

• Python 3.11+
• uv package manager

Installation

# Install uv if not already installed
curl -LsSf https://astral.sh/uv/install.sh | sh
# Create virtual environment and install dependencies
uv sync

Running Experiments

• Launch training and evaluation, e.g., for case study 1:

uv run -m case_study1.run_benchmark