We present simulation-free score and flow matching ([SF]^2M), a
simulati...
While numerous methods have been proposed for computing distances betwee...
Diffusion-based manifold learning methods have proven useful in
represen...
Continuous normalizing flows (CNFs) are an attractive generative modelin...
Understanding the dynamics and reactions of cells from population snapsh...
Here, we present a method called Manifold Interpolating Optimal-Transpor...
Diffusion condensation is a dynamic process that yields a sequence of
mu...
In modern relational machine learning it is common to encounter large gr...
We propose a new fast method of measuring distances between large number...