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- Modeling Microwave S-parameters and BO for the optimal operation of a nuclear facility
- Bridging the gap between data-driven and mechanistic modelling
- Reparametrization invariance in representation
- Finding Earth v2
- Gaussian Process applications and Bayesian Deep Learning
- Deep GP as Point Estimates of DNN
- Constrained Optimization in Simulation
- Modelling the Human Anatomy
- Introduction to Bayesian Optimization
- Fleet-Wide Policy Iteration
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