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20212024
most citedOptimal Spectral-Norm Approximate Minimization of Weighted Finite Automata

3 citations · 6 across the 5 of their papers we have counts for

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5 papers

cs.CL2024

Simulating Weighted Automata over Sequences and Trees with Transformers

Michael Rizvi, Maude Lizaire, Clara Lacroce +1

Transformers are ubiquitous models in the natural language processing (NLP) community and have shown impressive empirical successes in the past few years. However, little is unders…

cs.FL2023★ 1 cited

Optimal Approximate Minimization of One-Letter Weighted Finite Automata

Clara Lacroce, Borja Balle, Prakash Panangaden +1

In this paper, we study the approximate minimization problem of weighted finite automata (WFAs): to compute the best possible approximation of a WFA given a bound on the number of…

cs.FL2022★ 1 cited

Towards an AAK Theory Approach to Approximate Minimization in the Multi-Letter Case

Clara Lacroce, Prakash Panangaden, Guillaume Rabusseau

We study the approximate minimization problem of weighted finite automata (WFAs): given a WFA, we want to compute its optimal approximation when restricted to a given size. We refo…

cs.LG2021★ 1 cited

Extracting Weighted Automata for Approximate Minimization in Language Modelling

Clara Lacroce, Prakash Panangaden, Guillaume Rabusseau

In this paper we study the approximate minimization problem for language modelling. We assume we are given some language model as a black box. The objective is to obtain a weighted…

cs.FL2021★ 3 cited

Optimal Spectral-Norm Approximate Minimization of Weighted Finite Automata

Borja Balle, Clara Lacroce, Prakash Panangaden +2

We address the approximate minimization problem for weighted finite automata (WFAs) with weights in , over a one-letter alphabet: to compute the best possible approxima…