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16th ICGI 2023: Rabat, Morocco
- François Coste, Faissal Ouardi, Guillaume Rabusseau:
International Conference on Grammatical Inference, ICGI 2023, 10-13 July 2023, Rabat, Morocco. Proceedings of Machine Learning Research 217, PMLR 2023 - Preface. 1-3
- Dana Angluin:
Learning of Regular Languages by Recurrent Neural Networks? (Mainly Questions). 4 - William Merrill:
Formal languages and neural models for learning on sequences. 5 - Cyril Allauzen:
Weighted Finite Automata with Failure Transitions: Algorithms and Applications. 6 - Ahmed Elnaggar:
A journey into the Generative AI and large language models: From NLP to BioInformatics. 7 - Makoto Kanazawa, Ryo Yoshinaka:
Extending Distributional Learning from Positive Data and Membership Queries. 8-22 - Yutaro Numaya, Diptarama Hendrian
, Ryo Yoshinaka, Ayumi Shinohara:
Identification of Substitutable Context-Free Languages over Infinite Alphabets from Positive Data. 23-34 - Sagar Indurkhya:
A Procedure for Inferring a Minimalist Lexicon from an SMT Model of a Language Acquisition Device. 35-58 - Simon Dieck, Sicco Verwer:
Learning Syntactic Monoids from Samples by extending known Algorithms for learning State Machines. 59-79 - Katherine Wu, Jeffrey Heinz:
String Extension Learning Despite Noisy Intrusions. 80-95 - Maxime Raynal, Marc-Olivier Buob, Georges Quénot:
fAST: regular expression inference from positive examples using Abstract Syntax Trees. 96-116 - Robert Baumgartner, Sicco Verwer:
Learning state machines from data streams: A generic strategy and an improved heuristic. 117-141 - Bram Verboom, Simon Dieck, Sicco Verwer:
Detecting Changes in Loop Behavior for Active Learning. 142-156 - Loes Kruger, Bharat Garhewal
Lower Bounds for Active Automata Learning. 157-180 - Adil Soubki, Jeffrey Heinz:
Benchmarking State-Merging Algorithms for Learning Regular Languages. 181-198 - Nadine El-Naggar, Andrew Ryzhikov, Laure Daviaud, Pranava Madhyastha, Tillman Weyde:
Formal and Empirical Studies of Counting Behaviour in ReLU RNNs. 199-222 - Zhengxiang Wang:
Learning Transductions and Alignments with RNN Seq2seq Models. 223-249 - Franz Mayr, Sergio Yovine, Matías Carrasco, Federico Pan, Federico Vilensky:
A Congruence-based Approach to Active Automata Learning from Neural Language Models. 250-264 - Roland Groz, Catherine Oriat, Germán Vega, Adenilso da Silva Simão, Michael Foster, Neil Walkinshaw:
Active Inference of Extended Finite State Models of Software Systems. 265-269 - Magdalena Markowska, Jeffrey Heinz:
Empirical and Theoretical Arguments for Using Properties of Letters for the Learning of Sequential Functions. 270-274 - Rémi Eyraud, Dakotah Lambert, Badr Tahri Joutei, Aidar Gaffarov, Mathias Cabanne, Jeffrey Heinz, Chihiro Shibata:
TAYSIR Competition: Transformer+RNN: Algorithms to Yield Simple and Interpretable Representations. 275-290 - Edi Muskardin, Martin Tappler, Bernhard K. Aichernig:
Testing-based Black-box Extraction of Simple Models from RNNs and Transformers. 291-294 - Franz Mayr, Sergio Yovine, Matías Carrasco, Alejo Garat, Martín Iturbide, Juan da Silva, Federico Vilensky:
Results of Neural-Checker Toolbox in Taysir 2023 Competition. 295-298
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