arxiv
PublishedOctober 3, 2026 at 4:00 AM
—neutral
Trajectory Stitching for Solving Inverse Problems with Flow-Based Models
Publisher summary· verbatim
arXiv:2602.08538v2 Announce Type: replace-cross Abstract: 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 output solves the inverse problem. However, this requires backpr
Stay posted· Newsletter
A 5-min weekly brief — top movers, price watch, story of the week.
Discussion
No replies yet. Be first.
Related coverage
More from ARXIV
arxivStochastic Optimal Control for Continuous-Time fMRI Representation Learning17harxivExploiting Exogenous Structure for Sample-Efficient Reinforcement Learning17harxivSequential Capacity of Quantum Processes with Finite Memory17harxivQ-MINO: A Minimal-Norm Method for Quantization-Aware Training17hThe Bubble Brief
WEEKLYRead AI insights every Tuesday — top movers, new releases, story of the week.
Originally published on arxiv ↗