Interpretability News
The latest Interpretability coverage curated for game developers.
BrainLinear is a lightweight connectome classifier that trades heavy GNN and Transformer stacks for a sparse, geometry-aware linear pipeline. It maps functional connectivity into a tangent space, ranks ROI-pair directions …
A new 3D generative modeling framework uses concept bottlenecks to make geometry models more interpretable and steerable. In a proof-of-concept part-manipulation test, it reached 88.8% concept prediction accuracy and a …
The introduction of HOLE offers a significant advancement in understanding neural network interpretability. By leveraging persistent homology, this method enables developers to visualize and analyze the topological features of neural …