Spence, J., Liaudat, T. I., Zygalakis, K., & Pereyra, M. (2026). Deep unfolding of MCMC kernels: Scalable, modular & explainable GANs for high-dimensional posterior sampling.
Style de citation Chicago (17e éd.)Spence, Jonathan, Tobías I. Liaudat, Konstantinos Zygalakis, et Marcelo Pereyra. Deep Unfolding of MCMC Kernels: Scalable, Modular & Explainable GANs for High-dimensional Posterior Sampling. 2026.
Style de citation MLA (9e éd.)Spence, Jonathan, et al. Deep Unfolding of MCMC Kernels: Scalable, Modular & Explainable GANs for High-dimensional Posterior Sampling. 2026.
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