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Tikhon Mavrin

1 accepted papers

2026

Universal Inverse Distillation for Matching Models with Real-Data Supervision (No GANs)

ICLR 2026oral

While achieving exceptional generative quality, modern diffusion, flow, and other matching models suffer from slow inference, as they require many steps of iterative generation. Recent distillation methods address this by training efficient one-step generators under the guidance of a pre-trained tea…

Cited by 0SourcecodeScholar
Tikhon Mavrin — accepted AI-conference papers · AIConfPaper