Lachlan Mason

According to our database, Lachlan Mason authored at least 8 papers between 2020 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Rule-based Bayesian regression.

Themistoklis Botsas, Lachlan Robert Mason, Indranil Pan

Stat. Comput., 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, Jorge Montalvo Arvizu, Claude Klöckl, John Moriarty

CoRR, 2022

Rule-based Evolutionary Bayesian Learning.

Themistoklis Botsas, Lachlan Robert Mason, Omar K. Matar, Indranil Pan

CoRR, 2022

2021

Reinforcing the role of competition platforms.

Jorge Montalvo Arvizu, Lachlan Robert Mason, John Moriarty

Patterns, 2021

Data-Centric Engineering: integrating simulation, machine learning and statistics. Challenges and Opportunities.

Indranil Pan, Lachlan Mason, Omar K. Matar

CoRR, 2021

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

Numerical simulation, clustering and prediction of multi-component polymer precipitation.

Pavan Inguva, Lachlan Mason, Indranil Pan, Miselle Hengardi, Omar K. Matar

CoRR, 2020

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