Spence, J., Liaudat, T. I., Zygalakis, K., & Pereyra, M. (2026). Deep unfolding of MCMC kernels: Scalable, modular & explainable GANs for high-dimensional posterior sampling.
Chicago Style (17th ed.) CitationSpence, Jonathan, Tobías I. Liaudat, Konstantinos Zygalakis, and Marcelo Pereyra. Deep Unfolding of MCMC Kernels: Scalable, Modular & Explainable GANs for High-dimensional Posterior Sampling. 2026.
MLA (9th ed.) CitationSpence, Jonathan, et al. Deep Unfolding of MCMC Kernels: Scalable, Modular & Explainable GANs for High-dimensional Posterior Sampling. 2026.
Warning: These citations may not always be 100% accurate.