Thesis: Out-of-Distribution Detection Techniques on Trained Chemical Transformer Models
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Knightec Group Sweden
Göteborg
High Level Description Recent advances in deep learning have made it possible to represent chemical structures as dense, high dimensional embeddings where the AI model has captured subtle relationships from training samples. These embeddings are used to predict various chemical properties, crucial in fields such as drug discovery and chemical risk assessment. However, in real-world scenarios... |
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5 dagar sedan
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