How the Classical Baseline Shapes Machine-Learning Speed Claims in Topology Optimization
cs.CE, cs.LG
Submitted: 2026-10-12
Updated: 2026-10-12
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