Alberto Cabezas — accepted AI-conference papers

2024

Markovian Flow Matching: Accelerating MCMC with Continuous Normalizing Flows

Alberto Cabezas, Louis Sharrock, Christopher Nemeth

NeurIPS 2024poster

Continuous normalizing flows (CNFs) learn the probability path between a reference distribution and a target distribution by modeling the vector field generating said path using neural networks. Recently, Lipman et al. (2022) introduced a simple and inexpensive method for training CNFs in generative…

Cited by 2 Source ↗PDF ↗code ↗Scholar ↗

2023

Transport Elliptical Slice Sampling

Alberto Cabezas, Christopher Nemeth

AISTATS 2023poster

We propose a new framework for efficiently sampling from complex probability distributions using a combination of normalizing flows and elliptical slice sampling (Murray et al., 2010). The central idea is to learn a diffeomorphism, through normalizing flows, that maps the non-Gaussian structure of t…

Cited by 12 Source ↗PDF ↗code ↗Scholar ↗