Preface

François Coste, Faissal Ouardi, Guillaume Rabusseau; Proceedings of 16th edition of the International Conference on Grammatical Inference, PMLR 217:1-3

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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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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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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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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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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: 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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