Gradient-guided diffusion sampling reduces extreme precipitation forecasts in data-driven weather models while producing more physically plausible changes than adversarial perturbations.
Elucidating the design space of diffusion-based generative models
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Venom is an educational PyTorch toolkit that packages multiple generative modeling families under a single MNIST-first interface with reproducible scripts and tutorials.
citing papers explorer
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Guided Diffusion Sampling for Precipitation Forecast Interventions
Gradient-guided diffusion sampling reduces extreme precipitation forecasts in data-driven weather models while producing more physically plausible changes than adversarial perturbations.
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Venom: A PyTorch Generative Modeling Toolkit
Venom is an educational PyTorch toolkit that packages multiple generative modeling families under a single MNIST-first interface with reproducible scripts and tutorials.
- A Tutorial on Diffusion Theory: From Differential Equations to Diffusion Models
- Coreset-Induced Conditional Velocity Flow Matching