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cs.LG2025
NOSTRA: A noise-resilient and sparse data framework for trust region based multi objective Bayesian optimization
Maryam Ghasemzadeh, Anton van Beek
Multi-objective Bayesian optimization (MOBO) struggles with sparse (non-space-filling), scarce (limited observations) datasets affected by experimental uncertainty, where identical…
cs.LG2025
Flow Battery Manifold Design with Heterogeneous Inputs Through Generative Adversarial Neural Networks
Eric Seng, Hugh O'Connor, Adam Boyce +2
Generative machine learning has emerged as a powerful tool for design representation and exploration. However, its application is often constrained by the need for large datasets o…