Scalable Bayesian Optimization of Composite Functions for Image-Based Inverse Problems in Materials Characterization
cs.LG, cond-mat.mtrl-sci
Submitted: 2026-09-02
Updated: 2026-09-02
Code: https://github.com/dasol-yoon/bott
Terminology
Sources
- Towards Self-Optimizing Electron Microscope: Robust Tuning of Aberration Coefficients via Physics-Aware Multi-Objective Bayesian Optimization
- Derivation of Closed Form of Expected Improvement for Gaussian Process Trained on Log-Transformed Objective
Related papers
- Polynomial-Augmented Neural Networks (PANNs) with Weak Orthogonality Constraints for Enhanced Function and PDE Approximation
- AIRL-S: Unifying Reinforcement Learning and Search-Based Test-Time Scaling via Adversarial Inverse Reinforcement Learning
- Transformers as Bayesian In-Context Experimenters: Smoothness-Adaptive Efficient ATE Estimation
- Convergence issues in Relational Concept Analysis based on AOC-posets
- Beliefs Beyond Posteriors: Local-Consistency Optimisation for Bayesian Neural Networks
- Understanding Diffusion Models via Ratio-Based Function Approximation with SignReLU Networks