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GAN and VAE from an Optimal Transport Point of View
The dataset used in the paper is a generative model, specifically a Wasserstein GAN and a Wasserstein VAE. -
Optimal Transport Modeling
The dataset used in the paper is a noise distribution and a high-dimensional data distribution. -
Wasserstein-2 Benchmark
The dataset used in the paper is not explicitly described, but it is mentioned that the authors used a high-dimensional continuous distribution p0, p1 for which the ground truth... -
Optimal Flow Matching
The dataset used in the paper is not explicitly described, but it is mentioned that the authors used a 2D setup to illustrate the proof-of-concept of their Optimal Flow Matching... -
Optimal Transport-guided Conditional Score-based diffusion model
Conditional score-based diffusion model for unpaired or partially paired training dataset -
EntropicOTBenchmark
The dataset is used to test existing neural (continuous) solvers for the Entropic Optimal Transport and Schrödinger Bridge problems. -
Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain ...
Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation -
Synthetic example
The dataset is not explicitly described in the paper, but it is mentioned that the authors used a synthetic example to demonstrate the issue with the envelop theorem. -
Wasserstein1Benchmark
The dataset is used to test the performance of WGAN dual OT solvers.
