Senior ML Researcher (Bayesian Optimisation/ Active Learning)

Implementing Multi-Modal and Multi-Fidelity Models

When it comes to implementing multi-modal or multi-fidelity models, there are various techniques that can be utilized. Some common examples include:

• Multi-head neural networks
• Multi-output Gaussian processes

Skills Required

To succeed in this area, proficiency in the following is essential:

• Python programming language
• Relevant machine learning libraries such as:

• PyTorch
• TensorFlow
• scikit-learn

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