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

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

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

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

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

Learning variational autoencoders via MCMC speed measures. - Marcel Hirt; Vasileios Kreouzis; Petros Dellaportas (Stat. Comput., 2024)