Official implementation of Gradient-Update Alignment (GUA) for conflict-free training of Physics-Informed Neural Networks (PINNs).
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Updated
Sep 2, 2026 - Python
Official implementation of Gradient-Update Alignment (GUA) for conflict-free training of Physics-Informed Neural Networks (PINNs).
Open standard for processual awareness – machine-readable ontology of LifeNode
通过基于“滞后梯度博弈”的内生演化压力,替代传统 MoE 的外在负载均衡约束,实现神经网络拓扑结构的自组织特化与层级化
[Electronics] Revisiting Dropout: Escaping Pressure for Training Neural Networks with Multiple Costs
Per-row gradient measurement at a language model's shared tied output projection: why cosine conflict diagnostics misread CE/MTP interference. Code, committed results, and the claim-verification gate for the preprint.
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