High-throughput single-cell profiling provides an unprecedented ability to uncover the
molecular states of millions of cells. These technologies are, however, destructive to cells …

Schrödinger bridge can be viewed as a continuous-time stochastic control problem where
the goal is to find an optimally controlled diffusion process whose terminal distribution …

Generative diffusion models synthesize new samples by reversing a diffusive process that
converts a given data set to generic noise. This is accomplished by training a neural network …

Implicit generative modeling (IGM) aims to produce samples of synthetic data matching the
characteristics of a target data distribution. Recent work (eg score-matching networks …

Generating samples from a probability distribution is a fundamental task in machine learning
and statistics. This article proposes a novel scheme for sampling from a distribution for which …

The problem of off-policy evaluation (OPE) in reinforcement learning (RL), which evaluates a
given policy using data collected from a different behavior policy, plays an important role in …