Key results from our experiments:
- Accurately match experimental constraints (shown on toy models and a chignolin ensemble generator)
- Ensembles remain physically realistic.
- Increase in diversity of guided samples
- Works robustly, even if constraints are noisy or limited.

New preprint alert 🚨
How can you guide diffusion and flow-based generative models when data is scarce but you have domain knowledge? We introduce Minimum Excess Work, a physics-inspired method for efficiently integrating sparse constraints.
Thread below 👇https://arxiv.org/abs/2505.13375