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quadratic-optimal-transport

topic1 events
papersTODAY 04:00 UTC

Bidirectional Neural Method Learns Quadratic Optimal Transport Maps from Unpaired Data

Researchers propose CyclOT, a bidirectional neural framework that recovers both forward and reverse quadratic optimal transport maps from unpaired samples in high dimensions. The learned maps induce forward and backward displacement interpolants that are synchronized during training. The work targets optimal transport estimation, a task that becomes difficult as dimensionality grows.

optimal-transport/research/generative-models/arxiv