26 citations: Reimagining generative modeling—diffusion models create labeled data via training-free score estimation, enabling supervised learning of simple architectures that outperform traditional approaches.

📖 www.dl.begellhouse.com/journals/558...

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Generative Modeling of Weights: Memorization vs Generalization

Four generative methods for neural‑network weight synthesis produced only copies or simple interpolations of checkpoints, showing no benefit over Gaussian‑noise baselines. Read more: getnews.me/generative-modeling-of-w... #generativemodeling #neuralnetworks

MarS-FM Introduces Fast Generative Modeling for Molecular Dynamics

MarS-FM, a generative model, speeds molecular dynamics simulations by over 100× while retaining RMSD, radius of gyration and secondary‑structure metrics, the authors report. getnews.me/mars-fm-introduces-fast-... #marsfm #generativemodeling

DoubleGen: Doubly Robust Debiased Generative Counterfactual Modeling

DoubleGen adds a doubly robust framework that cuts confounding and misspecification bias in generative models, offering finite‑sample guarantees as true interventional data. getnews.me/doublegen-doubly-robust-... #doublyrobust #generativemodeling