Aug 6, 2026 · Artificial Intelligence

Measuring and Optimizing Neural Network Simplicity—A Year Before LeCun’s World‑Model Study

The Qianjue‑Tsinghua team introduces the Effective Degree (ED) metric, derived from polynomial representations of neural functions along data‑driven paths, enabling measurable simplicity bias that can be evaluated on real‑scale models and directly optimized during training, outperforming traditional complexity proxies.

deep learningeffective degreegeneralization

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Measuring and Optimizing Neural Network Simplicity—A Year Before LeCun’s World‑Model Study