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Proceedings of Machine Learning Research

Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research
Proceedings of Machine Learning Research
PMLR · 2026-06-02 · via Proceedings of Machine Learning Research

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Volume 217: International Conference on Grammatical Inference, 10-13 July 2023, Rabat, Morocco

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Editors: François Coste, Faissal Ouardi, Guillaume Rabusseau

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Preface

Preface

; Proceedings of 16th edition of the International Conference on Grammatical Inference, PMLR 217:1-3

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Distinguished lecture

Learning of Regular Languages by Recurrent Neural Networks? (Mainly Questions)

Dana Angluin; Proceedings of 16th edition of the International Conference on Grammatical Inference, PMLR 217:4-4

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ICGI Angluin tutorial session

Formal languages and neural models for learning on sequences

William Merrill; Proceedings of 16th edition of the International Conference on Grammatical Inference, PMLR 217:5-5

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Invited talks

Weighted Finite Automata with Failure Transitions: Algorithms and Applications

Cyril Allauzen; Proceedings of 16th edition of the International Conference on Grammatical Inference, PMLR 217:6-6

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A journey into the Generative AI and large language models: From NLP to BioInformatics

Ahmed Elnaggar; Proceedings of 16th edition of the International Conference on Grammatical Inference, PMLR 217:7-7

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Regular papers

Extending Distributional Learning from Positive Data and Membership Queries

Makoto Kanazawa, Ryo Yoshinaka; Proceedings of 16th edition of the International Conference on Grammatical Inference, PMLR 217:8-22

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Identification of Substitutable Context-Free Languages over Infinite Alphabets from Positive Data

Yutaro Numaya, Diptarama Hendrian, Ryo Yoshinaka, Ayumi Shinohara; Proceedings of 16th edition of the International Conference on Grammatical Inference, PMLR 217:23-34

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A Procedure for Inferring a Minimalist Lexicon from an SMT Model of a Language Acquisition Device

Sagar Indurkhya; Proceedings of 16th edition of the International Conference on Grammatical Inference, PMLR 217:35-58

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Learning Syntactic Monoids from Samples by extending known Algorithms for learning State Machines

Simon Dieck, Sicco Verwer; Proceedings of 16th edition of the International Conference on Grammatical Inference, PMLR 217:59-79

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String Extension Learning Despite Noisy Intrusions

Katherine Wu, Jeffrey Heinz; Proceedings of 16th edition of the International Conference on Grammatical Inference, PMLR 217:80-95

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fAST: regular expression inference from positive examples using Abstract Syntax Trees

Maxime Raynal, Marc-Olivier Buob, Georges Quénot; Proceedings of 16th edition of the International Conference on Grammatical Inference, PMLR 217:96-116

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Learning state machines from data streams: A generic strategy and an improved heuristic

Robert Baumgartner, Sicco Verwer; Proceedings of 16th edition of the International Conference on Grammatical Inference, PMLR 217:117-141

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Detecting Changes in Loop Behavior for Active Learning

Bram Verboom, Simon Dieck, Sicco Verwer; Proceedings of 16th edition of the International Conference on Grammatical Inference, PMLR 217:142-156

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Lower Bounds for Active Automata Learning

Loes Kruger, Bharat Garhewal, Frits Vaandrager; Proceedings of 16th edition of the International Conference on Grammatical Inference, PMLR 217:157-180

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Benchmarking State-Merging Algorithms for Learning Regular Languages

Adil Soubki, Jeffrey Heinz; Proceedings of 16th edition of the International Conference on Grammatical Inference, PMLR 217:181-198

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Formal and Empirical Studies of Counting Behaviour in ReLU RNNs

Nadine El-Naggar, Andrew Ryzhikov, Laure Daviaud, Pranava Madhyastha, Tillman Weyde; Proceedings of 16th edition of the International Conference on Grammatical Inference, PMLR 217:199-222

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Learning Transductions and Alignments with RNN Seq2seq Models

Zhengxiang Wang; Proceedings of 16th edition of the International Conference on Grammatical Inference, PMLR 217:223-249

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A Congruence-based Approach to Active Automata Learning from Neural Language Models

Franz Mayr, Sergio Yovine, Matías Carrasco, Federico Pan, Federico Vilensky; Proceedings of 16th edition of the International Conference on Grammatical Inference, PMLR 217:250-264

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Abstracts on work in progress

Active Inference of Extended Finite State Models of Software Systems

Roland Groz, Catherine Oriat, Germán Vega, Adenilso Simao, Michael Foster, Neil Walkinshaw; Proceedings of 16th edition of the International Conference on Grammatical Inference, PMLR 217:265-269

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Empirical and Theoretical Arguments for Using Properties of Letters for the Learning of Sequential Functions

Magdalena Markowska, Jeffrey Heinz; Proceedings of 16th edition of the International Conference on Grammatical Inference, PMLR 217:270-274

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Taysir competition

TAYSIR Competition: Transformer+\textscrnn: Algorithms to Yield Simple and Interpretable Representations

Rémi Eyraud, Dakotah Lambert, Badr Tahri Joutei, Aidar Gaffarov, Mathias Cabanne, Jeffrey Heinz, Chihiro Shibata; Proceedings of 16th edition of the International Conference on Grammatical Inference, PMLR 217:275-290

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Testing-based Black-box Extraction of Simple Models from RNNs and Transformers

Edi Muškardin, Martin Tappler, Bernhard K. Aichernig; Proceedings of 16th edition of the International Conference on Grammatical Inference, PMLR 217:291-294

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Results of Neural-Checker Toolbox in Taysir 2023 Competition

Franz Mayr, Sergio Yovine, Matías Carrasco, Alejo Garat, Martín Iturbide, Juan da Silva, Federico Vilensky; Proceedings of 16th edition of the International Conference on Grammatical Inference, PMLR 217:295-298

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