PhD student, Imperial College London
2 papers at NeurIPS 2025
We present an algorithm that learns the rate matrix of a continuous-time Markov chian to satisfy the Kolmogorov equation for sampling from unnormalised discrete distributions.
A mutual information estimator based on recent vector copula theory, which explicitly disentangles the marginal distributions and dependence structure in estimation.