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1. diffphycon diffphycon Public

   [NeurIPS2024] DiffPhyCon uses generative models to control complex physical systems

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2. cindm cindm Public

   [ICLR24] CinDM uses compositional generative models to design boundaries and initial states significantly more complex than the ones seen in training for physical simulation

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3. wdno wdno Public

   [ICLR2025] Wavelet Diffusion Neural Operator (WDNO) uses diffusion models on wavelet space for generative PDE simulation and control.

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4. beno beno Public

   [ICLR24] A boundary-embedded neural operator that incorporates complex boundary shape and inhomogeneous boundary values

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5. t_scend t_scend Public

   This repo is the code for T-SCEND, a novel framework that significantly improves diffusion model’s reasoning capabilities with better energy-based training and scaling up test-time computation.

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6. CL_DiffPhyCon CL_DiffPhyCon Public

   [ICLR 2025] CL-DiffPhyCon achieves closed-loop diffusion control of physical systems with significant speedup of sampling efficiency

   Python 21 1