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Abdallah Khemais

2 papers indexed

arxivcs.LGcs.AI2026-07-18

Cost Accounting for Reactive Computational Graphs: Exhaustive Sweeps, Sequential Mutation, and the Backward-Locality Gap

Abdallah Khemais

Exhaustive site-by-site interventions on a neural network's computational graph -- activation-patching sweeps, circuit-discovery searches, systematic ablation studies -- mutate the graph at every candidate site, and their cost is dominated by recomputation after each mutation. On…

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arxivcs.AIcs.LGcs.PL2026-07-18

Exact Network Surgery: Functional Invariance and Gradient Plasticity in Reactive Computational Graphs

Abdallah Khemais

Function-preserving network growth techniques such as Net2Net and progressive stacking expand a model's capacity without destroying its learned function, but existing formulations either tolerate numerical perturbations or require a full rebuild of the training program. We formal…

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