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cs.LG2026
Velocity Scheduled Flow Matching
Vitalii Bondar
Flow matching trains a neural network to regress the conditional velocity along a linear interpolant between noise and data, and the number of network evaluations~(NFE) sets the co…
cs.LG2025
Deep generative models as the probability transformation functions
Vitalii Bondar, Vira Babenko, Roman Trembovetskyi +2
This paper introduces a unified theoretical perspective that views deep generative models as probability transformation functions. Despite the apparent differences in architecture…