Hi,
I’m new to Optimal transport theory. I wish to minimize the domain gap in two data distributions (two datasets) using a metric which should be differentiable as I wish to use it as loss func. I found Sinkhorn distance (Wasserstein) to be interesting but couldn’t find an implementation outside GANs. I’m training my networks in an adversarial manner but still it’s not efficient. How can I use something from OT to minimize the gap between two distributions as loss ?