Publications

Marcel Hirt, Domenico Campolo, Victoria Leong, Juan-Pablo Ortega (2024). Learning multi-modal generative models with permutation-invariant encoders and tighter variational objectives. In TMLR.

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Marcel Hirt, Vasileios Kreouzis, Petros Dellaportas (2024). Learning variational autoencoders via MCMC speed measures. In Statistics and Computing.

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Giovanni Ballarin, Petros Dellaportas, Lyudmila Grigoryeva, Marcel Hirt, Sophie van Huellen, Juan-Pablo Ortega (2024). Reservoir computing for macroeconomic forecasting with mixed frequency data. In International Journal of Forecasting.

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Angshuk Dutta, Marcel Hirt, Lorena Santamaria, Stanimira Georgieva, Christian Gerloff, Li Boyang, Victoria Leong (2023). A pose-informed de-noising diffusion model for adult naturalistic EEG Signals. In bioRxiv.

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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.

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

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

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

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