Author

Jie-Qun Han

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#machine learning Preprint Oct 2026

Error-Corrected Inference-Time Scaling for Imperfect Diffusion Models

Inference-time scaling adapts pretrained diffusion models to new sampling tasks without additional training. Existing methods rely primarily on Monte Carlo sampling with more particles, yet are premised on the pretrained model being exact. In practice, data and training limitations make the model imperfect, and these m...

Zuo-Kai Wen, Louis Grenioux, E. Weinan et al. · 0 citations

#machine learning Preprint Sep 2026

PHASE: Multi-Regime Modeling of Incompressible Magnetohydrodynamics

Magnetohydrodynamics (MHD) is central to plasma modeling in astrophysics, space science, fusion, and engineering, but resolving multiscale MHD dynamics is computationally expensive. Machine-learning surrogates enable fast inference by learning reusable solution operators, yet existing models require separate training f...

Radhika Achikanath Chirakkara, Rajdeep Haldar, Zezheng Song et al. · 0 citations