Jérémie Cabessa

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 24

Top Topics

Syntactic Features

Expressive Power

Top Venues

J. Comput. Syst. Sci.

Publications

Jérémie Cabessa, Hugo Hernault, Umer Mushtaq
In-Context Learning and Fine-Tuning GPT for Argument Mining. CoRR (2024)
Jirí Síma, Jérémie Cabessa, Petra Vidnerová
On energy complexity of fully-connected layers. Neural Networks 178 (2024)
Jérémie Cabessa, Yann Strozecki
Refined Kolmogorov Complexity of Analog, Evolving and Stochastic Recurrent Neural Networks. CoRR (2023)
Umer Mushtaq, Jérémie Cabessa
Argument Mining with Modular BERT and Transfer Learning. IJCNN (2023)
Jirí Síma, Jérémie Cabessa
Energy Complexity of Fully-Connected Layers. IWANN (1) (2023)
Umer Mushtaq, Jérémie Cabessa
Argument Classification with BERT Plus Contextual, Structural and Syntactic Features as Text. ICONIP (4) (2022)
Jérémie Cabessa, Hugo Hernault, Yves Lamonato, Mathieu Rochat, Yariv Z. Levy
The EsnTorch Library: Efficient Implementation of Transformer-Based Echo State Networks. ICONIP (7) (2022)
Jérémie Cabessa
Turing Computation with Neural Networks Composed of Synfire Rings. IJCNN (2022)
Jérémie Cabessa, Hugo Hernault, Heechang Kim, Yves Lamonato, Yariv Z. Levy
Efficient Text Classification with Echo State Networks. IJCNN (2021)
Jérémie Cabessa, Aubin Tchaptchet
Automata complete computation with Hodgkin-Huxley neural networks composed of synfire rings. Neural Networks 126 (2020)
Jérémie Cabessa, Jirí Síma
Robust Optimal-Size Implementation of Finite State Automata with Synfire Ring-Based Neural Networks. ICANN (1) (2019)
Jérémie Cabessa, Olivier Finkel
Computational capabilities of analog and evolving neural networks over infinite input streams. J. Comput. Syst. Sci. 101 (2019)
Jérémie Cabessa, Alessandro E. P. Villa
A Memory-Based STDP Rule for Stable Attractor Dynamics in Boolean Recurrent Neural Networks. IJCNN (2019)
Jérémie Cabessa, Alessandro E. P. Villa
An STDP Rule for the Improvement and Stabilization of the Attractor Dynamics of the Basal Ganglia-Thalamocortical Network. ICANN (3) (2018)
Jérémie Cabessa, Aubin Tchaptchet
Automata Computation with Hodgkin-Huxley Based Neural Networks Composed of Synfire Rings. IJCNN (2018)
Jérémie Cabessa, Alessandro E. P. Villa
Interactive Control of Computational Power in a Model of the Basal Ganglia-Thalamocortical Circuit by a Supervised Attractor-Based Learning Procedure. ICANN (1) (2017)
Jérémie Cabessa, Paolo Masulli
Emulation of finite state automata with networks of synfire rings. IJCNN (2017)
Jérémie Cabessa, Olivier Finkel
Expressive Power of Evolving Neural Networks Working on Infinite Input Streams. FCT (2017)
Christian W. Bach, Jérémie Cabessa
Limit-agreeing to disagree. J. Log. Comput. 27 (4) (2017)
Jérémie Cabessa, Ginette Horcholle-Bossavit, Brigitte Quenet
Neural Computation with Spiking Neural Networks Composed of Synfire Rings. ICANN (1) (2017)
Jérémie Cabessa, Alessandro E. P. Villa
Expressive power of first-order recurrent neural networks determined by their attractor dynamics. J. Comput. Syst. Sci. 82 (8) (2016)
Jérémie Cabessa, Alessandro E. P. Villa
Attractor Dynamics Driven by Interactivity in Boolean Recurrent Neural Networks. ICANN (1) (2016)
Jérémie Cabessa, Alessandro E. P. Villa
Attractor-based complexity of a Boolean model of the basal ganglia-thalamocortical network. IJCNN (2016)
Jérémie Cabessa, Jacques Duparc
Expressive Power of Nondeterministic Recurrent Neural Networks in Terms of their Attractor Dynamics. Int. J. Unconv. Comput. 12 (1) (2016)
Jérémie Cabessa, Alessandro E. P. Villa
Computational capabilities of recurrent neural networks based on their attractor dynamics. IJCNN (2015)
Jérémie Cabessa, Jacques Duparc
Expressive Power of Non-deterministic Evolving Recurrent Neural Networks in Terms of Their Attractor Dynamics. UCNC (2015)
Jérémie Cabessa, Hava T. Siegelmann
The Super-Turing Computational Power of plastic Recurrent Neural Networks. Int. J. Neural Syst. 24 (8) (2014)
Jérémie Cabessa, Alessandro E. P. Villa
Interactive Evolving Recurrent Neural Networks Are Super-Turing Universal. ICANN (2014)
Jérémie Cabessa, Alessandro E. P. Villa
The Super-Turing Computational Power of Interactive Evolving Recurrent Neural Networks. ICANN (2013)
Jérémie Cabessa, Alessandro E. P. Villa
Recurrent Neural Networks - A Natural Model of Computation beyond the Turing Limits. IJCCI (2012)
Jérémie Cabessa
Interactive Evolving Recurrent Neural Networks Are Super-turing. ICAART (1) (2012)
Jérémie Cabessa, Alessandro E. P. Villa
The expressive power of analog recurrent neural networks on infinite input streams. Theor. Comput. Sci. 436 (2012)
Jérémie Cabessa, Hava T. Siegelmann
The Computational Power of Interactive Recurrent Neural Networks. Neural Comput. 24 (4) (2012)
Jérémie Cabessa, Hava T. Siegelmann
Evolving recurrent neural networks are super-Turing. IJCNN (2011)
Christian W. Bach, Jérémie Cabessa
Agreeing to Disagree with Limit Knowledge. LORI (2011)
Jérémie Cabessa, Alessandro E. P. Villa
A Hierarchical Classification of First-Order Recurrent Neural Networks. LATA (2010)
Jérémie Cabessa, Jacques Duparc
A Game Theoretical Approach to The Algebraic Counterpart of The Wagner Hierarchy: Part II. RAIRO Theor. Informatics Appl. 43 (3) (2009)
Jérémie Cabessa, Jacques Duparc
A game theoretical approach to the algebraic counterpart of the Wagner hierarchy: Part I. RAIRO Theor. Informatics Appl. 43 (3) (2009)
Christian W. Bach, Jérémie Cabessa
Limit knowledge of rationality. TARK (2009)
Jérémie Cabessa, Jacques Duparc, Alessandro Facchini, Filip Murlak
The Wadge Hierarchy of Max-Regular Languages. FSTTCS (2009)
Jérémie Cabessa, Jacques Duparc
The Algebraic Counterpart of the Wagner Hierarchy. CiE (2008)