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cs.LG2024
Inverse Entropic Optimal Transport Solves Semi-supervised Learning via Data Likelihood Maximization
Mikhail Persiianov, Arip Asadulaev, Nikita Andreev +5
Learning conditional distributions is a central problem in machine learning, which is typically approached via supervised methods with paired data .…
cs.CV2024★ 1 cited
Invertible Consistency Distillation for Text-Guided Image Editing in Around 7 Steps
Nikita Starodubcev, Mikhail Khoroshikh, Artem Babenko +1
Diffusion distillation represents a highly promising direction for achieving faithful text-to-image generation in a few sampling steps. However, despite recent successes, existing…