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20192026
most citedPDE-GCN: Novel Architectures for Graph Neural Networks Motivated by Partial Differential Equations

18 citations · 69 across the 60 of their papers we have counts for

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eess.IV2026

Trajectory Stitching for Solving Inverse Problems with Flow-Based Models

Alexander Denker, Moshe Eliasof, Zeljko Kereta +1

Flow-based generative models have emerged as powerful priors for solving inverse problems. One option is to directly optimize the initial latent code (noise), such that the flow ou…