The limits of architectural abstraction in network function virtualization. - Balázs Németh 002; Xavier Simonart; Neal Oliver; Wim Lamotte (IM, 2015)

Distributed Affine-Invariant MCMC Sampler. - Balázs Németh 002; Tom Haber; Jori Liesenborgs; Wim Lamotte (CLUSTER, 2017)

Improving Operational Intensity in Data Bound Markov Chain Monte Carlo. - Balázs Németh 002; Tom Haber; Thomas J. Ashby; Wim Lamotte (ICCS, 2017)

Relaxing Scalability Limits with Speculative Parallelism in Sequential Monte Carlo. - Balázs Németh 002; Tom Haber; Jori Liesenborgs; Wim Lamotte (CLUSTER, 2018)

Reproducible Roulette Wheel Sampling for Message Passing Environments. - Balázs Németh 002; Tom Haber; Jori Liesenborgs; Wim Lamotte (ICCS (2), 2018)

Approximate Repeated Administration Models for Pharmacometrics. - Balázs Németh 002; Tom Haber; Jori Liesenborgs; Wim Lamotte (ICCS (1), 2019)

Automatic Parallelization of Probabilistic Models with Varying Load Imbalance. - Balázs Németh 002; Tom Haber; Jori Liesenborgs; Wim Lamotte (CCGRID, 2020)

From Conditional Independence to Parallel Execution in Hierarchical Models. - Balázs Németh 002; Tom Haber; Jori Liesenborgs; Wim Lamotte (ICCS (1), 2020)

Message Passing Computational Methods with Pharmacometrics Applications - Balázs Németh 002 (2020)