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20232026
most citedData-Efficient Operator Learning via Unsupervised Pretraining and In-Context Learning

4 citations · 12 across the 14 of their papers we have counts for

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cs.LG2023★ 1 cited

Robustifying State-space Models for Long Sequences via Approximate Diagonalization

Annan Yu, Arnur Nigmetov, Dmitriy Morozov +2

State-space models (SSMs) have recently emerged as a framework for learning long-range sequence tasks. An example is the structured state-space sequence (S4) layer, which uses the…