Publications

Marcel Hirt, Domenico Campolo, Victoria Leong, Juan-Pablo Ortega (2023). Learning multi-modal generative models with permutation-invariant encoders and tighter variational bounds. In arXiv.

Marcel Hirt, Vasileios Kreouzis, Petros Dellaportas (2023). Learning variational autoencoders via MCMC speed measures. In arXiv.

Giovanni Ballarin, Petros Dellaportas, Lyudmila Grigoryeva, Marcel Hirt, Sophie van Huellen, Juan-Pablo Ortega (2023). Reservoir computing for macroeconomic forecasting with mixed frequency data. In arXiv.

Marcel Hirt, Axel Finke, Alexandros Beskos, Petros Dellaportas, Stephan Beck, Ismail Moghul, Simone Ecker (2022). A Bayesian framework for genome-wide inference of DNA methylation levels. In arXiv.

Marcel Hirt, Michalis Titsias, Petros Dellaportas (2021). Entropy-based adaptive Hamiltonian Monte Carlo. In NeurIPS 2021.

Marcel Hirt, Alain Durmus, Petros Dellaportas (2019). Copula-like Variational Inference. In NeurIPS 2019.

Marcel Hirt, Petros Dellaportas (2018). Scalable Bayesian Learning for State Space Models using Variational Inference with SMC Samplers. In AISTATS 2019.