Michael Plainer retweeted
Fantastic work by Michael Plainer and friends. Energy-based diffusion models to ensure that the denoising distribution equals exp(-u(x)), with the energy u(x). A keystone for connecting molecular dynamics, statistical mechanics and generative AI.
(1/n) Can diffusion models simulate molecular dynamics instead of generating independent samples?
In our NeurIPS2025 paper, we train energy-based diffusion models that can do both:
- Generate independent samples
- Learn the underlying potential 𝑼
🧵👇
arxiv.org/abs/2506.17139
Michael Plainer retweeted
(1/n) Can diffusion models simulate molecular dynamics instead of generating independent samples?
In our NeurIPS2025 paper, we train energy-based diffusion models that can do both:
- Generate independent samples
- Learn the underlying potential 𝑼
🧵👇
arxiv.org/abs/2506.17139