2 citations · 4 across the 6 of their papers we have counts for
4 papers · 1 filter
Deep Adaptive Bayesian Screening
Jade Lejeune Herman, Arno Strouwen, Johan A. K. Suykens +1
We introduce Deep Adaptive Bayesian Screening (DABS), a method for performing adaptive factorial screening in high-dimensional discrete design spaces. DABS learns a policy network…
Deep Adaptive Model-Based Design of Experiments
Arno Strouwen, Sebastian Micluţa-Câmpeanu
Model-based design of experiments (MBDOE) is essential for efficient parameter estimation in nonlinear dynamical systems. However, conventional adaptive MBDOE requires costly poste…
Experimental Design for Missing Physics
Arno Strouwen, Sebastián Micluţa-Câmpeanu
For most process systems, knowledge of the model structure is incomplete. This missing physics must then be learned from experimental data. Recently, a combination of universal dif…
Bayesian Symbolic Regression for Missing Physics
Arno Strouwen
Model-based approaches for (bio)process systems often suffer from incomplete knowledge of the underlying physical, chemical, or biological laws. Universal differential equations, w…