Author

Faez Ahmed

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#machine learning Preprint Aug 2026

Learning the Geometry of Admissible Hypotheses through Inductive Bias in Training Distributions

This work presents a framework for learning continuous latent representations of admissible partial differential equations by embedding a scientific inductive bias directly into the training distribution, and shows that embedding a scientific inductive bias in the training distribution enables the learning of compact a...

J. Crowley, Faez Ahmed, A. van Beek · 0 citations

Preprint Aug 2026

BOCoDe: Engineering-Centered Benchmarking for Bayesian Optimization

BOCoDe is introduced, an open-source, PyTorch-native benchmark comprising 307 BBO problems, including 159 engineering design tasks and widely used synthetic and HPO benchmarks that establish a reproducible and extensible foundation for developing and evaluating BO methods that better reflect the demands of engineering...

Rosen Yu, Christophe Hatterer, A. Narayanan et al. · 0 citations