Interpretable Meta-Learning for Multi-Objective Chemical Search

arXiv:2606.20497 · cs.CE, cond-mat.mtrl-sci · Submitted 2026-06-18 · Read on arXiv

cs.CE, cond-mat.mtrl-sci

Submitted: 2026-06-18

Updated: 2026-10-20

Terminology

• Meta-learning — 4× in this paper · explained in 3 episodes
• Calibration — 1× in this paper · explained in 9 episodes
• Surrogate Model — 1× in this paper · explained in 3 episodes
• Surrogate Models — 1× in this paper · explained in 3 episodes
• Uncertainty Quantification — 1× in this paper · explained in 9 episodes

Related papers

• Constrained Sensing and Reliable State Estimation with Shallow Recurrent Decoders on a TRIGA Mark II Reactor
• A finite-element-inspired bipartite graph learned simulator for manufacturability assessment in large-deformation sheet forming
• Non-linear mechanical field reconstruction coupling recurrent neural networks with physics-informed graph neural networks
• Neural-Parameterized Cellular Automata for Wildfire Spread
• A mesh-based neural energy method for the simulation of heterogeneous composites
• Evidence-Unit Fairness and the Limits of Query-Adaptive Sparse-Dense Fusion in Financial Document Retrieval