Xavier Hinaut

According to our database1, Xavier Hinaut authored at least 32 papers between 2012 and 2021.

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

2021
Vocal Imitation in Sensorimotor Learning Models: A Comparative Review.
IEEE Trans. Cogn. Dev. Syst., 2021

Editorial: Language and Robotics.
Frontiers Robotics AI, 2021

Higher Cognitive Functions in Bio-Inspired Artificial Intelligence.
ERCIM News, 2021

Canary Vocal Sensorimotor Model with RNN Decoder and Low-dimensional GAN Generator.
Proceedings of the IEEE International Conference on Development and Learning, 2021

Canary Song Decoder: Transduction and Implicit Segmentation with ESNs and LTSMs.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

Which Hype for My New Task? Hints and Random Search for Echo State Networks Hyperparameters.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

2020
Teach Your Robot Your Language! Trainable Neural Parser for Modeling Human Sentence Processing: Examples for 15 Languages.
IEEE Trans. Cogn. Dev. Syst., 2020

A Robust Model of Gated Working Memory.
Neural Comput., 2020

A journey in ESN and LSTM visualisations on a language task.
CoRR, 2020

Transfer between long-term and short-term memory using Conceptors.
CoRR, 2020

Hierarchical-Task Reservoir for Anytime POS Tagging from Continuous Speech.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Cross-Situational Learning with Reservoir Computing for Language Acquisition Modelling.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Language Acquisition with Echo State Networks: Towards Unsupervised Learning.
Proceedings of the Joint IEEE 10th International Conference on Development and Learning and Epigenetic Robotics, 2020

ReservoirPy: An Efficient and User-Friendly Library to Design Echo State Networks.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

2019
Section focused on machine learning methods for high-level cognitive capabilities in robotics.
Adv. Robotics, 2019

Learning to Parse Grounded Language using Reservoir Computing.
Proceedings of the Joint IEEE 9th International Conference on Development and Learning and Epigenetic Robotics, 2019

Using Conceptors to Transfer Between Long-Term and Short-Term Memory.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019 - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings, 2019

A Reservoir Model for Intra-Sentential Code Switching Comprehension in French and English.
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

2018
A Simple Reservoir Model of Working Memory with Real Values.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

A bio-inspired model towards vocal gesture learning in songbird.
Proceedings of the 2018 Joint IEEE 8th International Conference on Development and Learning and Epigenetic Robotics, 2018

Which Input Abstraction is Better for a Robot Syntax Acquisition Model? Phonemes, Words or Grammatical Constructions?
Proceedings of the 2018 Joint IEEE 8th International Conference on Development and Learning and Epigenetic Robotics, 2018

2017
Sustainable computational science: the ReScience initiative.
PeerJ Comput. Sci., 2017

Syntactic reanalysis in language models for speech recognition.
Proceedings of the 2017 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, 2017

2016
Using natural language feedback in a neuro-inspired integrated multimodal robotic architecture.
Proceedings of the 25th IEEE International Symposium on Robot and Human Interactive Communication, 2016

Recurrent Neural Network for syntax learning with flexible predicates for robotic architectures.
Proceedings of the 2016 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, 2016

Semantic Role Labelling for Robot Instructions using Echo State Networks.
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

Activity recognition with echo state networks using 3D body joints and objects category.
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

2015
A Recurrent Neural Network for Multiple Language Acquisition: Starting with English and French.
Proceedings of the NIPS Workshop on Cognitive Computation: Integrating Neural and Symbolic Approaches co-located with the 29th Annual Conference on Neural Information Processing Systems (NIPS 2015), 2015

2014
Exploring the acquisition and production of grammatical constructions through human-robot interaction with echo state networks.
Frontiers Neurorobotics, 2014

An Incremental Approach to Language Acquisition: Thematic Role Assignment with Echo State Networks.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2014, 2014

2013
On-line learning of lexical items and grammatical constructions via speech, gaze and action-based human-robot interaction.
Proceedings of the INTERSPEECH 2013, 2013

2012
On-Line Processing of Grammatical Structure Using Reservoir Computing.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012


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