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Viewing Publication 1 - 100 from 861

2023

Prefaceicgi 2023: 1-3 [doi]

Weighted Finite Automata with Failure Transitions: Algorithms and ApplicationsCyril Allauzen. icgi 2023: 6 [doi]

Learning of Regular Languages by Recurrent Neural Networks? (Mainly Questions)Dana Angluin. icgi 2023: 4 [doi]

Learning state machines from data streams: A generic strategy and an improved heuristicRobert Baumgartner, Sicco Verwer. icgi 2023: 117-141 [doi]

International Conference on Grammatical Inference, ICGI 2023, 10-13 July 2023, Rabat, MoroccoFrançois Coste, Faissal Ouardi, Guillaume Rabusseau, editors, Volume 217 of Proceedings of Machine Learning Research, PMLR, 2023. [doi]

Learning Syntactic Monoids from Samples by extending known Algorithms for learning State MachinesSimon Dieck, Sicco Verwer. icgi 2023: 59-79 [doi]

Formal and Empirical Studies of Counting Behaviour in ReLU RNNsNadine El-Naggar, Andrew Ryzhikov, Laure Daviaud, Pranava Madhyastha, Tillman Weyde. icgi 2023: 199-222 [doi]

A journey into the Generative AI and large language models: From NLP to BioInformaticsAhmed Elnaggar. icgi 2023: 7 [doi]

TAYSIR Competition: Transformer+RNN: Algorithms to Yield Simple and Interpretable RepresentationsRémi Eyraud, Dakotah Lambert, Badr Tahri Joutei, Aidar Gaffarov, Mathias Cabanne, Jeffrey Heinz, Chihiro Shibata. icgi 2023: 275-290 [doi]

Active Inference of Extended Finite State Models of Software SystemsRoland Groz, Catherine Oriat, Germán Vega, Adenilso da Silva Simão, Michael Foster 0001, Neil Walkinshaw. icgi 2023: 265-269 [doi]

A Procedure for Inferring a Minimalist Lexicon from an SMT Model of a Language Acquisition DeviceSagar Indurkhya. icgi 2023: 35-58 [doi]

Extending Distributional Learning from Positive Data and Membership QueriesMakoto Kanazawa, Ryo Yoshinaka. icgi 2023: 8-22 [doi]

Lower Bounds for Active Automata LearningLoes Kruger, Bharat Garhewal, Frits W. Vaandrager. icgi 2023: 157-180 [doi]

Empirical and Theoretical Arguments for Using Properties of Letters for the Learning of Sequential FunctionsMagdalena Markowska, Jeffrey Heinz. icgi 2023: 270-274 [doi]

Results of Neural-Checker Toolbox in Taysir 2023 CompetitionFranz Mayr, Sergio Yovine, Matías Carrasco, Alejo Garat, Martín Iturbide, Juan da Silva, Federico Vilensky. icgi 2023: 295-298 [doi]

A Congruence-based Approach to Active Automata Learning from Neural Language ModelsFranz Mayr, Sergio Yovine, Matías Carrasco, Federico Pan, Federico Vilensky. icgi 2023: 250-264 [doi]

Formal languages and neural models for learning on sequencesWilliam Merrill. icgi 2023: 5 [doi]

Testing-based Black-box Extraction of Simple Models from RNNs and TransformersEdi Muskardin, Martin Tappler, Bernhard K. Aichernig. icgi 2023: 291-294 [doi]

Identification of Substitutable Context-Free Languages over Infinite Alphabets from Positive DataYutaro Numaya, Diptarama Hendrian, Ryo Yoshinaka, Ayumi Shinohara. icgi 2023: 23-34 [doi]

fAST: regular expression inference from positive examples using Abstract Syntax TreesMaxime Raynal, Marc-Olivier Buob, Georges Quénot. icgi 2023: 96-116 [doi]

Benchmarking State-Merging Algorithms for Learning Regular LanguagesAdil Soubki, Jeffrey Heinz. icgi 2023: 181-198 [doi]

Detecting Changes in Loop Behavior for Active LearningBram Verboom, Simon Dieck, Sicco Verwer. icgi 2023: 142-156 [doi]

Learning Transductions and Alignments with RNN Seq2seq ModelsZhengxiang Wang. icgi 2023: 223-249 [doi]

String Extension Learning Despite Noisy IntrusionsKatherine Wu, Jeffrey Heinz. icgi 2023: 80-95 [doi]

2021

Prefaceicgi 2021: 1-3 [doi]

Extracting Context-Free Grammars from Recurrent Neural Networks using Tree-Automata Learning and A* SearchBenoît Barbot, Benedikt Bollig, Alain Finkel, Serge Haddad, Igor Khmelnitsky, Martin Leucker, Daniel Neider, Rajarshi Roy 0002, Lina Ye. icgi 2021: 113-129 [doi]

Learning Multiple Independent Tier-based ProcessesPhillip Burness, Kevin McMullin. icgi 2021: 66-80 [doi]

Proceedings of the 15th International Conference on Grammatical Inference, 23-27 August 2021, Virtual EventJane Chandlee, Rémi Eyraud, Jeff Heinz, Adam Jardine, Menno Zaanen, editors, Volume 153 of Proceedings of Machine Learning Research, PMLR, 2021. [doi]

Beyond Chomsky Normal Form: Extending Strong Learning Algorithms for PCFGsAlexander Clark. icgi 2021: 4-17 [doi]

Using Grammatical Inference to Build Privacy Preserving Data-sets of User LogsVictor Connes, Colin de la Higuera, Hoel Le Capitaine. icgi 2021: 176-190 [doi]

The complexity of learning linear temporal formulas from examplesNathanaël Fijalkow, Guillaume Lagarde. icgi 2021: 237-250 [doi]

Learning DFAs by Evolving Short Sequences of MergesKristian Guillaumier, John Abela. icgi 2021: 217-236 [doi]

Learning Input Strictly Local Functions From Their CompositionWenyue Hua, Adam Jardine. icgi 2021: 47-65 [doi]

Inside-Outside Algorithm for Macro GrammarsRyuta Kambe, Naoki Kobayashi 0001, Ryosuke Sato, Ayumi Shinohara, Ryo Yoshinaka. icgi 2021: 32-46 [doi]

A Hierarchy of Context-Free Languages Learnable from Positive Data and Membership QueriesMakoto Kanazawa, Ryo Yoshinaka. icgi 2021: 18-31 [doi]

Extracting Weighted Automata for Approximate Minimization in Language ModellingClara Lacroce, Prakash Panangaden, Guillaume Rabusseau. icgi 2021: 92-112 [doi]

Grammar Interpretations and Learning TSL OnlineDakotah Lambert. icgi 2021: 81-91 [doi]

Recognizing Long Grammatical Sequences using Recurrent Networks Augmented with an External Differentiable StackAnkur Arjun Mali, Alexander Ororbia, Daniel Kifer, C. Lee Giles. icgi 2021: 130-153 [doi]

Investigating Backpropagation Alternatives when Learning to Dynamically Count with Recurrent Neural NetworksAnkur Arjun Mali, Alexander Ororbia, Daniel Kifer, C. Lee Giles. icgi 2021: 154-175 [doi]

Query Learning Algorithm for Symbolic Weighted Finite AutomataKaito Suzuki, Diptarama Hendrian, Ryo Yoshinaka, Ayumi Shinohara. icgi 2021: 202-216 [doi]

A Toolbox for Context-Sensitive Grammar Induction by Genetic SearchWojciech Wieczorek, Lukasz Strak, Arkadiusz Nowakowski, Olgierd Unold. icgi 2021: 191-201 [doi]

2019

Proceedings of the 14th International Conference on Grammatical Inference, ICGI 2018, Wrocław, Poland, September 5-7, 2018Olgierd Unold, Witold Dyrka, Wojciech Wieczorek, editors, Volume 93 of Proceedings of Machine Learning Research, PMLR, 2019. [doi]

2018

Learning Graph Weighted Models on PicturesPhilip Amortila, Guillaume Rabusseau. icgi 2019: 104-117 [doi]

Inferring DFA without Negative ExamplesFlorent Avellaneda, Alexandre Petrenko. icgi 2019: 17-29 [doi]

Explaining Black Boxes on Sequential Data using Weighted AutomataStéphane Ayache, Rémi Eyraud, Noé Goudian. icgi 2019: 81-103 [doi]

Learning local substitutable context-free languages from positive examples in polynomial time and data by reductionFrançois Coste, Jacques Nicolas. icgi 2019: 155-168 [doi]

Learning reduplication with 2-way finite-state transducersHossep Dolatian, Jeffrey Heinz. icgi 2019: 67-80 [doi]

Using Adaptive Sequences for Learning Non-Resettable FSMsRoland Groz, Nicolas Brémond, Adenilso Simão. icgi 2019: 30-43 [doi]

Decision problems for Clark-congruential languagesMakoto Kanazawa, Tobias Kappé. icgi 2019: 3-16 [doi]

Inferring Program Extensions from TracesRoman Manevich, Sharon Shoham. icgi 2019: 139-154 [doi]

Learning Product AutomataJoshua Moerman. icgi 2019: 54-66 [doi]

How to measure the topological quality of protein parse trees?Mateusz Pyzik, François Coste, Witold Dyrka. icgi 2019: 118-138 [doi]

International Conference on Grammatical Inference 2018: PrefaceOlgierd Unold, Witold Dyrka, Wojciech Wieczorek. icgi 2019: 1-2 [doi]

Suffix Classification TreesWojciech Wieczorek, Olgierd Unold, Lukasz Strak. icgi 2019: 44-53 [doi]

2017

Proceedings of the 13th International Conference on Grammatical Inference, ICGI 2016, Delft, The Netherlands, October 5-7, 2016Sicco Verwer, Menno van Zaanen, Rick Smetsers, editors, Volume 57 of JMLR Workshop and Conference Proceedings, JMLR.org, 2017. [doi]

2016

Sp2Learn: A Toolbox for the Spectral Learning of Weighted AutomataDenis Arrivault, Dominique Benielli, François Denis, Rémi Eyraud. icgi 2017: 105-119 [doi]

Results of the Sequence PredIction ChallengE (SPiCe): a Competition on Learning the Next Symbol in a SequenceBorja Balle, Rémi Eyraud, Franco M. Luque, Ariadna Quattoni, Sicco Verwer. icgi 2017: 132-136 [doi]

Learning Top-Down Tree Transducers with Regular Domain InspectionAdrien Boiret, Aurélien Lemay, Joachim Niehren. icgi 2017: 54-65 [doi]

Simple K-star Categorial Dependency Grammars and their InferenceDenis Béchet, Annie Foret. icgi 2017: 3-14 [doi]

Testing Distributional Properties of Context-Free GrammarsAlexander Clark. icgi 2017: 42-53 [doi]

Query Learning Automata with Helpful LabelsAdrian Horia Dediu, Joana M. Matos, Claudio Moraga. icgi 2017: 15-29 [doi]

Online Grammar Compression for Frequent Pattern DiscoveryShouhei Fukunaga, Yoshimasa Takabatake, Tomohiro I, Hiroshi Sakamoto. icgi 2017: 93-104 [doi]

Inferring Non-resettable Mealy Machines with n StatesRoland Groz, Catherine Oriat, Nicolas Brémond. icgi 2017: 30-41 [doi]

Flexible State-Merging for Learning (P)DFAs in PythonChristian A. Hammerschmidt, Benjamin Loos, Radu State, Thomas Engel. icgi 2017: 154-159 [doi]

A Spectral Method that Worked Well in the SPiCe'16 CompetitionFarhana Ferdousi Liza, Marek Grzes. icgi 2017: 143-148 [doi]

Learning Deterministic Finite Automata from Infinite AlphabetsGaetano Pellegrino, Christian A. Hammerschmidt, Qin Lin, Sicco Verwer. icgi 2017: 120-131 [doi]

Evaluation of Machine Learning Methods on SPiCeIchinari Sato, Kaizaburo Chubachi, Diptarama. icgi 2017: 149-153 [doi]

Predicting Sequential Data with LSTMs Augmented with Strictly 2-Piecewise Input VectorsChihiro Shibata, Jeffrey Heinz. icgi 2017: 137-142 [doi]

The Generalized Smallest Grammar ProblemPayam Siyari, Matthias Gallé. icgi 2017: 79-92 [doi]

Using Model Theory for Grammatical Inference: a Case Study from PhonologyKristina Strother-Garcia, Jerey Heinz, Hyun Jin Hwangbo. icgi 2017: 66-78 [doi]

International Conference on Grammatical Inference 2016: PrefaceSicco Verwer, Menno van Zaanen, Rick Smetsers. icgi 2017: 1-2 [doi]

Model Selection of Sequence Prediction Algorithms by CompressionDu Xi, Dai Zhuang. icgi 2017: 160-163 [doi]

Sequence Prediction Using Neural Network ClassiersYanpeng Zhao, Shanbo Chu, Yang Zhou, Kewei Tu. icgi 2017: 164-169 [doi]

2014

A Canonical Semi-Deterministic TransducerAchilles Beros, Colin de la Higuera. icgi 2014: 33-48 [doi]

Proceedings of the 12th International Conference on Grammatical Inference, ICGI 2014, Kyoto, Japan, September 17-19, 2014Alexander Clark, Makoto Kanazawa, Ryo Yoshinaka, editors, Volume 34 of JMLR Proceedings, JMLR.org, 2014. [doi]

PrefaceAlexander Clark, Makoto Kanazawa, Ryo Yoshinaka. icgi 2014: 1-2 [doi]

A bottom-up efficient algorithm learning substitutable languages from positive examplesFrançois Coste, Gaëlle Garet, Jacques Nicolas. icgi 2014: 49-63 [doi]

Some improvements of the spectral learning approach for probabilistic grammatical inferenceMattias Gybels, François Denis, Amaury Habrard. icgi 2014: 64-78 [doi]

An Abstract Framework for Counterexample Analysis in Active Automata LearningMalte Isberner, Bernhard Steffen. icgi 2014: 79-93 [doi]

Very efficient learning of structured classes of subsequential functions from positive dataAdam Jardine, Jane Chandlee, Rémi Eyraud, Jeffrey Heinz. icgi 2014: 94-108 [doi]

Learning Nondeterministic Mealy MachinesAli Khalili, Armando Tacchella. icgi 2014: 109-123 [doi]

Maximizing a Tree Series in the Representation SpaceGuillaume Rabusseau, François Denis. icgi 2014: 124-138 [doi]

Grammar Compression: Grammatical Inference by Compression and Its Application to Real DataHiroshi Sakamoto. icgi 2014: 3-20 [doi]

Grammatical Inference of some Probabilistic Context-Free Grammars from Positive Data using Minimum SatisfiabilityJames Scicluna, Colin de la Higuera. icgi 2014: 139-152 [doi]

Inferring (k, l)-context-sensitive probabilistic context-free grammars using hierarchical Pitman-Yor processesChihiro Shibata. icgi 2014: 153-166 [doi]

Bigger is Not Always Better: on the Quality of Hypotheses in Active Automata LearningRick Smetsers, Michele Volpato, Frits W. Vaandrager, Sicco Verwer. icgi 2014: 167-181 [doi]

Towards a rationalist theory of language acquisitionEdward P. Stabler. icgi 2014: 21-32 [doi]

An example distribution for probabilistic query learning of simple deterministic languagesYasuhiro Tajima, Genichiro Kikui. icgi 2014: 182-192 [doi]

Evaluation of selection in context-free grammar learning systemsMenno van Zaanen, Nanne van Noord. icgi 2014: 193-206 [doi]

Induction of Directed Acyclic Word Graph in a Bioinformatics TaskWojciech Wieczorek, Olgierd Unold. icgi 2014: 207-217 [doi]

2012

Grammar Induction: Beyond Local SearchJason Eisner. icgi 2012: 112-113 [doi]

Proceedings of the Eleventh International Conference on Grammatical Inference, ICGI 2012, University of Maryland, College Park, USA, September 5-8, 2012Jeffrey Heinz, Colin de la Higuera, Tim Oates, editors, JMLR.org, 2012.

Inducing Partially Observable Markov Decision ProcessesMichael L. Littman. icgi 2012: 145-148 [doi]

2010

A Non-deterministic Grammar Inference Algorithm Applied to the Cleavage Site Prediction Problem in BioinformaticsGloria Inés Alvarez, Jorge Hernán Victoria, Enrique Bravo, Pedro García. icgi 2010: 267-270 [doi]

Learning Deterministic Finite Automata from Interleaved StringsJoshua Jones, Tim Oates. icgi 2010: 80-93 [doi]

Learning Regular Expressions from Representative Examples and Membership QueriesEfim B. Kinber. icgi 2010: 94-108 [doi]

CGE: A Sequential Learning Algorithm for Mealy AutomataKarl Meinke. icgi 2010: 148-162 [doi]

Molecules, Languages and AutomataDavid B. Searls. icgi 2010: 5-10 [doi]

Sequences Classification by Least General GeneralisationsFrédéric Tantini, Alain Terlutte, Fabien Torre. icgi 2010: 189-202 [doi]

Learning Fuzzy Context-Free Grammar - A Preliminary ReportOlgierd Unold. icgi 2010: 309-312 [doi]

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