43 citations · 54 across the 5 of their papers we have counts for
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stat.ML2025
Multi-modal Bayesian Neural Network Surrogates with Conjugate Last-Layer Estimation
Ian Taylor, Juliane Mueller, Julie Bessac
As data collection and simulation capabilities advance, multi-modal learning, the task of learning from multiple modalities and sources of data, is becoming an increasingly importa…
math.OC2025
Multi-Fidelity Stochastic Trust Region Method with Adaptive Sampling
Yunsoo Ha, Juliane Mueller
Simulation optimization is often hindered by the high cost of running simulations. Multi-fidelity methods offer a promising solution by incorporating cheaper, lower-fidelity simula…
cs.LG2025
AutoTandemML: Active Learning Enhanced Tandem Neural Networks for Inverse Design Problems
Luka Grbcic, Juliane Müller, Wibe Albert de Jong
Inverse design in science and engineering involves determining optimal design parameters that achieve desired performance outcomes, a process often hindered by the complexity and h…