Accumulated Gradient Normalization. - Joeri R. Hermans; Gerasimos Spanakis; Rico Möckel (ACML, 2017)

Gradient Energy Matching for Distributed Asynchronous Gradient Descent. - Joeri Hermans; Gilles Louppe (CoRR, 2018)

Adversarial Variational Optimization of Non-Differentiable Simulators. - Gilles Louppe; Joeri Hermans; Kyle Cranmer (AISTATS, 2019)

Simulating Data Access Profiles of Computational Jobs in Data Grids. - Volodimir Begy; Joeri Hermans; Martin Barisits; Mario Lassnig; Erich Schikuta (eScience, 2019)

Likelihood-free MCMC with Approximate Likelihood Ratios. - Joeri Hermans; Volodimir Begy; Gilles Louppe (CoRR, 2019)

Likelihood-free MCMC with Amortized Approximate Ratio Estimators. - Joeri Hermans; Volodimir Begy; Gilles Louppe (ICML, 2020)

Averting A Crisis In Simulation-Based Inference. - Joeri Hermans; Arnaud Delaunoy; François Rozet; Antoine Wehenkel; Gilles Louppe (CoRR, 2021)

Towards Reliable Simulation-Based Inference with Balanced Neural Ratio Estimation. - Arnaud Delaunoy; Joeri Hermans; François Rozet; Antoine Wehenkel; Gilles Louppe (NeurIPS, 2022)

A Crisis In Simulation-Based Inference? Beware, Your Posterior Approximations Can Be Unfaithful. - Joeri Hermans; Arnaud Delaunoy; François Rozet; Antoine Wehenkel; Volodimir Begy; Gilles Louppe (Trans. Mach. Learn. Res., 2022)

Advances in Simulation-Based Inference: Towards the automation of the Scientific Method through Learning Algorithms. - Joeri Hermans (2022)