Jérémie Cabessa

Orcid: 0000-0002-5394-5249

According to our database1, Jérémie Cabessa authored at least 39 papers between 2008 and 2023.

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Bibliography

2023
Refined Kolmogorov Complexity of Analog, Evolving and Stochastic Recurrent Neural Networks.
CoRR, 2023

Energy Complexity of Fully-Connected Layers.
Proceedings of the Advances in Computational Intelligence, 2023

Argument Mining with Modular BERT and Transfer Learning.
Proceedings of the International Joint Conference on Neural Networks, 2023

2022
Turing Computation with Neural Networks Composed of Synfire Rings.
Proceedings of the International Joint Conference on Neural Networks, 2022

Argument Classification with BERT Plus Contextual, Structural and Syntactic Features as Text.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

The EsnTorch Library: Efficient Implementation of Transformer-Based Echo State Networks.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

2021
Efficient Text Classification with Echo State Networks.
Proceedings of the International Joint Conference on Neural Networks, 2021

2020
Automata complete computation with Hodgkin-Huxley neural networks composed of synfire rings.
Neural Networks, 2020

2019
Computational capabilities of analog and evolving neural networks over infinite input streams.
J. Comput. Syst. Sci., 2019

A Memory-Based STDP Rule for Stable Attractor Dynamics in Boolean Recurrent Neural Networks.
Proceedings of the International Joint Conference on Neural Networks, 2019

Robust Optimal-Size Implementation of Finite State Automata with Synfire Ring-Based Neural Networks.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Theoretical Neural Computation, 2019

2018
Automata Computation with Hodgkin-Huxley Based Neural Networks Composed of Synfire Rings.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

An STDP Rule for the Improvement and Stabilization of the Attractor Dynamics of the Basal Ganglia-Thalamocortical Network.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

2017
Limit-agreeing to disagree.
J. Log. Comput., 2017

Emulation of finite state automata with networks of synfire rings.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Interactive Control of Computational Power in a Model of the Basal Ganglia-Thalamocortical Circuit by a Supervised Attractor-Based Learning Procedure.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017

Neural Computation with Spiking Neural Networks Composed of Synfire Rings.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017

Expressive Power of Evolving Neural Networks Working on Infinite Input Streams.
Proceedings of the Fundamentals of Computation Theory - 21st International Symposium, 2017

2016
Expressive power of first-order recurrent neural networks determined by their attractor dynamics.
J. Comput. Syst. Sci., 2016

Expressive Power of Nondeterministic Recurrent Neural Networks in Terms of their Attractor Dynamics.
Int. J. Unconv. Comput., 2016

Attractor-based complexity of a Boolean model of the basal ganglia-thalamocortical network.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Attractor Dynamics Driven by Interactivity in Boolean Recurrent Neural Networks.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2016, 2016

2015
Expressive Power of Non-deterministic Evolving Recurrent Neural Networks in Terms of Their Attractor Dynamics.
Proceedings of the Unconventional Computation and Natural Computation, 2015

Computational capabilities of recurrent neural networks based on their attractor dynamics.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2014
The Super-Turing Computational Power of plastic Recurrent Neural Networks.
Int. J. Neural Syst., 2014

Interactive Evolving Recurrent Neural Networks Are Super-Turing Universal.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2014, 2014

2013
The Super-Turing Computational Power of Interactive Evolving Recurrent Neural Networks.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2013, 2013

2012
The expressive power of analog recurrent neural networks on infinite input streams.
Theor. Comput. Sci., 2012

The Computational Power of Interactive Recurrent Neural Networks.
Neural Comput., 2012

Recurrent Neural Networks - A Natural Model of Computation beyond the Turing Limits.
Proceedings of the IJCCI 2012 - Proceedings of the 4th International Joint Conference on Computational Intelligence, Barcelona, Spain, 5, 2012

Interactive Evolving Recurrent Neural Networks Are Super-turing.
Proceedings of the ICAART 2012 - Proceedings of the 4th International Conference on Agents and Artificial Intelligence, Volume 1, 2012

2011
Agreeing to Disagree with Limit Knowledge.
Proceedings of the Logic, Rationality, and Interaction - Third International Workshop, 2011

Evolving recurrent neural networks are super-Turing.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

2010
A Hierarchical Classification of First-Order Recurrent Neural Networks.
Proceedings of the Language and Automata Theory and Applications, 2010

2009
A Game Theoretical Approach to The Algebraic Counterpart of The Wagner Hierarchy: Part II.
RAIRO Theor. Informatics Appl., 2009

A game theoretical approach to the algebraic counterpart of the Wagner hierarchy: Part I.
RAIRO Theor. Informatics Appl., 2009

Limit knowledge of rationality.
Proceedings of the 12th Conference on Theoretical Aspects of Rationality and Knowledge (TARK-2009), 2009

The Wadge Hierarchy of Max-Regular Languages.
Proceedings of the IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science, 2009

2008
The Algebraic Counterpart of the Wagner Hierarchy.
Proceedings of the Logic and Theory of Algorithms, 2008


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