Data-driven surrogate modelling and benchmarking for process equipment. - Gabriel F. N. Gonçalves; Assen Batchvarov; Yuyi Liu; Yuxin Liu; Lachlan Mason; Indranil Pan; Omar K. Matar (CoRR, 2020)

Numerical simulation, clustering and prediction of multi-component polymer precipitation. - Pavan Inguva; Lachlan Mason; Indranil Pan; Miselle Hengardi; Omar K. Matar (CoRR, 2020)

Latent-space time evolution of non-intrusive reduced-order models using Gaussian process emulation. - Romit Maulik; Themistoklis Botsas; Nesar Ramachandra; Lachlan Robert Mason; Indranil Pan (CoRR, 2020)

Data-Centric Engineering: integrating simulation, machine learning and statistics. Challenges and Opportunities. - Indranil Pan; Lachlan Mason; Omar K. Matar (CoRR, 2021)

Reinforcing the role of competition platforms. - Jorge Montalvo Arvizu; Lachlan Robert Mason; John Moriarty (Patterns, 2021)

Rule-based Evolutionary Bayesian Learning. - Themistoklis Botsas; Lachlan Robert Mason; Omar K. Matar; Indranil Pan (CoRR, 2022)

RangL: A Reinforcement Learning Competition Platform. - Viktor Zobernig; Richard A. Saldanha; Jinke He; Erica van der Sar; Jasper van Doorn; Jia-Chen Hua; Lachlan Robert Mason; Aleksander Czechowski; Drago Indjic; Tomasz Kosmala; Alessandro Zocca; Sandjai Bhulai; et al. (CoRR, 2022)

Rule-based Bayesian regression. - Themistoklis Botsas; Lachlan Robert Mason; Indranil Pan (Stat. Comput., 2022)