Author

N. Anoop Krishnan

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#graph neural networks Open access Oct 2026

Learnable coarsening for two-phase flow in porous media

Hydrodynamic simulations of multi-phase flow in porous media are essential for oil production forecasting but require significant computational resources. Traditional approaches lead to high memory and time demands, restricting multi-scenario analysis. We propose a learnable coarsening algorithm based on graph neural n...

V. Naumov, N. Yavich, Alexander A. Ryabov et al. · Machine Learning: Science an... · 0 citations

#machine learning Preprint Oct 2026

Early Signatures of Memorization in Diffusion Models via Basin Geometry and Cyclic Denoising

Diffusion models generalize early in training and later reproduce individual training samples. Standard tests detect memorization only once one-shot generation produces near-copies, leaving a released model unaudited until its outputs fail. We show that memorization is encoded in the geometry of the learned energy land...

Nikhil Verma, Siddharthan Dileep, A. Singh et al. · 0 citations