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20232026
most citedExplaining generative diffusion models via visual analysis for interpretable decision-making process

22 citations · 67 across the 13 of their papers we have counts for

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cs.AI2026

Modularity-Free Conflict-Averse Training for Generalized PINNs

Heejo Kong, Beomchul Park, Sung-Jin Kim +1

Physics-informed neural networks (PINNs) have become a powerful framework for solving PDEs by embedding physical laws into differentiable objectives. Despite their advances, traini…