Rémi Eyraud

Orcid: 0000-0002-5728-4759

According to our database1, Rémi Eyraud authored at least 24 papers between 2004 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Distillation of weighted automata from recurrent neural networks using a spectral approach.
Mach. Learn., May, 2024

Length independent PAC-Bayes bounds for Simple RNNs.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023
TAYSIR Competition: Transformer+RNN: Algorithms to Yield Simple and Interpretable Representations.
Proceedings of the International Conference on Grammatical Inference, 2023

Deep Stacking Ensemble Learning Applied to Profiling Side-Channel Attacks.
Proceedings of the Smart Card Research and Advanced Applications, 2023

2020
An AI-powered blood test to detect cancer using nanoDSF.
CoRR, 2020

2019
Learning with Partially Ordered Representations.
CoRR, 2019

2018
Explaining Black Boxes on Sequential Data using Weighted Automata.
Proceedings of the 14th International Conference on Grammatical Inference, 2018

2016
Designing and Learning Substitutable Plane Graph Grammars.
Fundam. Informaticae, 2016

Preface.
Fundam. Informaticae, 2016

Results of the Sequence PredIction ChallengE (SPiCe): a Competition on Learning the Next Symbol in a Sequence.
Proceedings of the 13th International Conference on Grammatical Inference, 2016

Sp2Learn: A Toolbox for the Spectral Learning of Weighted Automata.
Proceedings of the 13th International Conference on Grammatical Inference, 2016

2015
Output Strictly Local Functions.
Proceedings of the 14th Meeting on the Mathematics of Language, 2015

2014
Learning Strictly Local Subsequential Functions.
Trans. Assoc. Comput. Linguistics, 2014

PAutomaC: a probabilistic automata and hidden Markov models learning competition.
Mach. Learn., 2014

Very efficient learning of structured classes of subsequential functions from positive data.
Proceedings of the 12th International Conference on Grammatical Inference, 2014

2012
Results of the PAutomaC Probabilistic Automaton Learning Competition.
Proceedings of the Eleventh International Conference on Grammatical Inference, 2012

Learning Substitutable Binary Plane Graph Grammars.
Proceedings of the Eleventh International Conference on Grammatical Inference, 2012

2010
Using Contextual Representations to Efficiently Learn Context-Free Languages.
J. Mach. Learn. Res., 2010

2008
A Polynomial Algorithm for the Inference of Context Free Languages.
Proceedings of the Grammatical Inference: Algorithms and Applications, 2008

2007
LARS: A learning algorithm for rewriting systems.
Mach. Learn., 2007

Polynomial Identification in the Limit of Substitutable Context-free Languages.
J. Mach. Learn. Res., 2007

2006
Learning Auxiliary Fronting with Grammatical Inference.
Proceedings of the Tenth Conference on Computational Natural Language Learning, 2006

2005
Identification in the Limit of Substitutable Context-Free Languages.
Proceedings of the Algorithmic Learning Theory, 16th International Conference, 2005

2004
Representing Languages by Learnable Rewriting Systems.
Proceedings of the Grammatical Inference: Algorithms and Applications, 2004


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