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20142026
most citedLaplacian Change Point Detection for Dynamic Graphs

56 citations · 170 across the 32 of their papers we have counts for

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6 papers · 1 filter

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.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…

cs.FL2018

Learning Graph Weighted Models on Pictures

Philip Amortila, Guillaume Rabusseau

Graph Weighted Models (GWMs) have recently been proposed as a natural generalization of weighted automata over strings and trees to arbitrary families of labeled graphs (and hyperg…

cs.FL2017★ 1 cited

Neural Network Based Nonlinear Weighted Finite Automata

Tianyu Li, Guillaume Rabusseau, Doina Precup

Weighted finite automata (WFA) can expressively model functions defined over strings but are inherently linear models. Given the recent successes of nonlinear models in machine lea…

cs.FL2014

Recognizable Series on Hypergraphs

Raphaël Bailly, François Denis, Guillaume Rabusseau

We introduce the notion of Hypergraph Weighted Model (HWM) that generically associates a tensor network to a hypergraph and then computes a value by tensor contractions directed by…