Marcel Hirt

Reservoir Computing for Macroeconomic Forecasting with Mixed Frequency Data

P. Dellaportas, J. Ortega, Lyudmila Grigoryeva, 2022, 2211.00363.

A Bayesian framework for genome-wide inference of DNA methylation levels

P. Dellaportas, A. Beskos, S. Beck, 2022, 2211.07311.

Scalable Bayesian Learning for State Space Models using Variational Inference with SMC Samplers pdf

Marcel Hirt, Petros Dellaportas, P. Dellaportas, 2018, AISTATS.

Entropy-based adaptive Hamiltonian Monte Carlo

Marcel Hirt, Petros Dellaportas, Michalis K. Titsias, 2021, NeurIPS.

Reservoir computing for macroeconomic forecasting with mixed-frequency data

P. Dellaportas, J. Ortega, Lyudmila Grigoryeva, 2022, International Journal of Forecasting.

Learning multi-modal generative models with permutation-invariant encoders and tighter variational bounds

Marcel Hirt, Domenico Campolo, Victoria Leong, 2023, ArXiv.

Learning variational autoencoders via MCMC speed measures

P. Dellaportas, Marcel Hirt, Vasileios Kreouzis, 2023, ArXiv.