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Publication search results
found 388 matches
- 2023
- Cyril Allauzen:
Weighted Finite Automata with Failure Transitions: Algorithms and Applications. ICGI 2023: 6 - Dana Angluin:
Learning of Regular Languages by Recurrent Neural Networks? (Mainly Questions). ICGI 2023: 4 - Robert Baumgartner, Sicco Verwer:
Learning state machines from data streams: A generic strategy and an improved heuristic. ICGI 2023: 117-141 - Simon Dieck, Sicco Verwer:
Learning Syntactic Monoids from Samples by extending known Algorithms for learning State Machines. ICGI 2023: 59-79 - Nadine El-Naggar, Andrew Ryzhikov, Laure Daviaud, Pranava Madhyastha, Tillman Weyde:
Formal and Empirical Studies of Counting Behaviour in ReLU RNNs. ICGI 2023: 199-222 - Ahmed Elnaggar:
A journey into the Generative AI and large language models: From NLP to BioInformatics. ICGI 2023: 7 - 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. ICGI 2023: 275-290 - Roland Groz, Catherine Oriat, Germán Vega, Adenilso da Silva Simão, Michael Foster, Neil Walkinshaw:
Active Inference of Extended Finite State Models of Software Systems. ICGI 2023: 265-269 - Sagar Indurkhya:
A Procedure for Inferring a Minimalist Lexicon from an SMT Model of a Language Acquisition Device. ICGI 2023: 35-58 - Makoto Kanazawa, Ryo Yoshinaka:
Extending Distributional Learning from Positive Data and Membership Queries. ICGI 2023: 8-22 - Loes Kruger, Bharat Garhewal, Frits W. Vaandrager:
Lower Bounds for Active Automata Learning. ICGI 2023: 157-180 - Magdalena Markowska, Jeffrey Heinz:
Empirical and Theoretical Arguments for Using Properties of Letters for the Learning of Sequential Functions. ICGI 2023: 270-274 - Franz Mayr, Sergio Yovine, Matías Carrasco, Alejo Garat, Martín Iturbide, Juan da Silva, Federico Vilensky:
Results of Neural-Checker Toolbox in Taysir 2023 Competition. ICGI 2023: 295-298 - Franz Mayr, Sergio Yovine, Matías Carrasco, Federico Pan, Federico Vilensky:
A Congruence-based Approach to Active Automata Learning from Neural Language Models. ICGI 2023: 250-264 - William Merrill:
Formal languages and neural models for learning on sequences. ICGI 2023: 5 - Edi Muskardin, Martin Tappler, Bernhard K. Aichernig:
Testing-based Black-box Extraction of Simple Models from RNNs and Transformers. ICGI 2023: 291-294 - Yutaro Numaya, Diptarama Hendrian, Ryo Yoshinaka, Ayumi Shinohara:
Identification of Substitutable Context-Free Languages over Infinite Alphabets from Positive Data. ICGI 2023: 23-34 - Maxime Raynal, Marc-Olivier Buob, Georges Quénot:
fAST: regular expression inference from positive examples using Abstract Syntax Trees. ICGI 2023: 96-116 - Adil Soubki, Jeffrey Heinz:
Benchmarking State-Merging Algorithms for Learning Regular Languages. ICGI 2023: 181-198 - Bram Verboom, Simon Dieck, Sicco Verwer:
Detecting Changes in Loop Behavior for Active Learning. ICGI 2023: 142-156 - Zhengxiang Wang:
Learning Transductions and Alignments with RNN Seq2seq Models. ICGI 2023: 223-249 - Katherine Wu, Jeffrey Heinz:
String Extension Learning Despite Noisy Intrusions. ICGI 2023: 80-95 - Preface. ICGI 2023: 1-3
- 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 [contents] - 2021
- Benoît Barbot, Benedikt Bollig, Alain Finkel, Serge Haddad, Igor Khmelnitsky, Martin Leucker, Daniel Neider, Rajarshi Roy, Lina Ye:
Extracting Context-Free Grammars from Recurrent Neural Networks using Tree-Automata Learning and A* Search. ICGI 2021: 113-129 - Phillip Burness, Kevin McMullin:
Learning Multiple Independent Tier-based Processes. ICGI 2021: 66-80 - Alexander Clark:
Beyond Chomsky Normal Form: Extending Strong Learning Algorithms for PCFGs. ICGI 2021: 4-17 - Victor Connes, Colin de la Higuera, Hoel Le Capitaine:
Using Grammatical Inference to Build Privacy Preserving Data-sets of User Logs. ICGI 2021: 176-190 - Nathanaël Fijalkow, Guillaume Lagarde:
The complexity of learning linear temporal formulas from examples. ICGI 2021: 237-250 - Kristian Guillaumier, John Abela:
Learning DFAs by Evolving Short Sequences of Merges. ICGI 2021: 217-236
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