ROTE: Benchmarking Neural Memorization on Complexity-Controlled Symbolic Sequences
The study establishes a connection between the complexity of algorithmic sequences and the memorization capacity of neural architectures, revealing the trade-offs involving memorization quality, rollout stability, and computational expense.
Xin-Ye Chen, S. Güttel, Mohammad Mozaffari
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