We propose Multi-Marginal temporal Schrödinger Bridge Matching (MMtSBM) for video generation from unpaired data, extending Diffusion Schrödinger Bridge Matching to multiple …
Novel approach for video generation using multi-marginal transport and Schrödinger bridge methods. Generates dynamic video sequences from static, unpaired image data through …
Segmentation of ultrasonic well imagery using transport and denoising architectures. Ranked 1st on both public and private leaderboards in the Collège de France EchoCem challenge.
Study and implementation of Monotone Gradient Networks (MGN) for learning gradients of convex functions, optimal transport, and generative modeling on high-dimensional data.