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88 %

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65

CV of Xavier Hinaut


Journal articles13 documents

  • Anthony Strock, Nicolas P. Rougier, Xavier Hinaut. Latent space exploration and functionalization of a gated working memory model using conceptors. Cognitive Computation, Springer, 2022, ⟨10.1007/s12559-020-09797-3⟩. ⟨hal-02494493v2⟩
  • Tadahiro Taniguchi, Takato Horii, Xavier Hinaut, Michael Spranger, Daichi Mochihashi, et al.. Editorial: Language and Robotics. Frontiers in Robotics and AI, Frontiers Media S.A., 2021, 8, ⟨10.3389/frobt.2021.674832⟩. ⟨hal-03533733⟩
  • Luca Pedrelli, Xavier Hinaut. Hierarchical-Task Reservoir for Online Semantic Analysis from Continuous Speech. IEEE Transactions on Neural Networks and Learning Systems, IEEE, 2021, ⟨10.1109/TNNLS.2021.3095140⟩. ⟨hal-03031413v3⟩
  • Frédéric Alexandre, Xavier Hinaut, Nicolas P. Rougier, Thierry Viéville. Higher Cognitive Functions in Bio-Inspired Artificial Intelligence. ERCIM News, ERCIM, 2021, Special topic "Brain inspired computing", 125. ⟨hal-03189215⟩
  • Silvia Pagliarini, Arthur Leblois, Xavier Hinaut. Vocal Imitation in Sensorimotor Learning Models: a Comparative Review. IEEE Transactions on Cognitive and Developmental Systems, Institute of Electrical and Electronics Engineers, Inc, 2020, ⟨10.1109/TCDS.2020.3041179⟩. ⟨hal-02317144v2⟩
  • Anthony Strock, Xavier Hinaut, Nicolas P. Rougier. A Robust Model of Gated Working Memory. Neural Computation, Massachusetts Institute of Technology Press (MIT Press), 2019, pp.1-29. ⟨10.1162/neco_a_01249⟩. ⟨hal-02371659⟩
  • Tetsunari Inamura, Hiroki Yokoyama, Emre Ugur, Xavier Hinaut, Michael Beetze, et al.. Section focused on machine learning methods for high-level cognitive capabilities in robotics. Advanced Robotics, Taylor & Francis, 2019, 33 (11), pp.537-538. ⟨10.1080/01691864.2019.1625183⟩. ⟨hal-02432787⟩
  • Xavier Hinaut, Johannes Twiefel. Teach Your Robot Your Language! Trainable Neural Parser for Modelling Human Sentence Processing: Examples for 15 Languages. IEEE Transactions on Cognitive and Developmental Systems, Institute of Electrical and Electronics Engineers, Inc, 2019, ⟨10.1109/TCDS.2019.2957006⟩. ⟨hal-01964541⟩
  • Nicolas P. Rougier, Konrad Hinsen, Frédéric Alexandre, Thomas Arildsen, Lorena Barba, et al.. Sustainable computational science: the ReScience initiative. PeerJ Computer Science, PeerJ, 2017, 3, pp.e142. ⟨10.7717/peerj-cs.142⟩. ⟨hal-01592078⟩
  • Xavier Hinaut, Florian Lance, Colas Droin, Maxime Petit, Gregoire Pointeau, et al.. Corticostriatal response selection in sentence production: Insights from neural network simulation with reservoir computing. Brain and Language, Elsevier, 2015, 150, pp.54 - 68. ⟨10.1016/j.bandl.2015.08.002⟩. ⟨hal-01906521⟩
  • Xavier Hinaut, Maxime Petit, Gregoire Pointeau, Peter F. Dominey. Exploring the acquisition and production of grammatical constructions through human-robot interaction with echo state networks. Frontiers in Neurorobotics, Frontiers, 2014, 8, ⟨10.3389/fnbot.2014.00016⟩. ⟨hal-02383530⟩
  • Xavier Hinaut, Peter Ford Dominey. Real-Time Parallel Processing of Grammatical Structure in the Fronto-Striatal System: A Recurrent Network Simulation Study Using Reservoir Computing. PLoS ONE, Public Library of Science, 2013, 8 (2), pp.e52946. ⟨10.1371/journal.pone.0052946⟩. ⟨hal-01968923⟩
  • Xavier Hinaut, Peter Ford Dominey. A three-layered model of primate prefrontal cortex encodes identity and abstract categorical structure of behavioral sequences. Journal of Physiology - Paris, Elsevier, 2011, 105 (1-3), pp.16-24. ⟨10.1016/j.jphysparis.2011.07.010⟩. ⟨hal-02613026⟩

Conference papers36 documents

  • Nathan Trouvain, Nicolas P. Rougier, Xavier Hinaut. Create Efficient and Complex Reservoir Computing Architectures with ReservoirPy. SAB 2022 - FROM ANIMALS TO ANIMATS 16: The 16th International Conference on the Simulation of Adaptive Behavior, Sep 2022, Cergy-Pontoise / Hybrid, France. ⟨hal-03761440⟩
  • Subba Reddy Oota, Frederic Alexandre, Xavier Hinaut. Long Short-Term Memory of Language Models for Predicting Brain Activation During Listening to Stories. CogSci 2022 - Cognitive Science Society, Jul 2022, Toronto, Canada. ⟨hal-03697443⟩
  • Xavier Hinaut, Nathan Trouvain. Which Hype for my New Task? Hints and Random Search for Reservoir Computing Hyperparameters. ICANN 2021 - 30th International Conference on Artificial Neural Networks, Sep 2021, Bratislava, Slovakia. ⟨hal-03203318v2⟩
  • Xavier Hinaut. La Course 12--4--90. Drôles d'objets 2021 - Un nouvel art de faire, Oct 2021, La Rochelle, France. ⟨hal-03533199⟩
  • Nathan Trouvain, Xavier Hinaut. Reservoir Computing : théorie, intuitions et applications avec ReservoirPy. Plate-Forme Intelligence Artificielle (PFIA), Jun 2021, Bordeaux, France. ⟨hal-03533731⟩
  • Nathan Trouvain, Xavier Hinaut. Canary Song Decoder: Transduction and Implicit Segmentation with ESNs and LTSMs. ICANN 2021 - 30th International Conference on Artificial Neural Networks, Sep 2021, Bratislava, Slovakia. pp.71--82, ⟨10.1007/978-3-030-86383-8_6⟩. ⟨hal-03203374v2⟩
  • Silvia Pagliarini, Arthur Leblois, Xavier Hinaut. Canary Vocal Sensorimotor Model with RNN Decoder and Low-dimensional GAN Generator. ICDL 2021- IEEE International Conference on Development and Learning, Aug 2021, Beijing, China. ⟨hal-03482372⟩
  • Luca Pedrelli, Xavier Hinaut. Hierarchical-Task Reservoir for Anytime POS Tagging from Continuous Speech. 2020 International Joint Conference on Neural Networks (IJCNN 2020), Jul 2020, Glasgow, Scotland, United Kingdom. ⟨hal-02594495⟩
  • Thanh Trung Dinh, Xavier Hinaut. Language Acquisition with Echo State Networks: Towards Unsupervised Learning. ICDL 2020 - IEEE International Conference on Development and Learning, Oct 2020, Valparaiso / Virtual, Chile. ⟨hal-02926613⟩
  • Alexis Juven, Xavier Hinaut. Cross-Situational Learning with Reservoir Computing for Language Acquisition Modelling. 2020 International Joint Conference on Neural Networks (IJCNN 2020), Jul 2020, Glasgow, Scotland, United Kingdom. ⟨hal-02594725⟩
  • Nathan Trouvain, Luca Pedrelli, Thanh Trung Dinh, Xavier Hinaut. ReservoirPy: an Efficient and User-Friendly Library to Design Echo State Networks. ICANN 2020 - 29th International Conference on Artificial Neural Networks, Sep 2020, Bratislava, Slovakia. ⟨hal-02595026v2⟩
  • Xavier Hinaut, Michael Spranger. Learning to Parse Grounded Language using Reservoir Computing. ICDL-Epirob 2019 - Joint IEEE 9th International Conference on Development and Learning and Epigenetic Robotics, Aug 2019, Olso, Norway. ⟨10.1109/devlrn.2019.8850718⟩. ⟨hal-02422157⟩
  • Pauline Detraz, Xavier Hinaut. A Reservoir Model for Intra-Sentential Code-Switching Comprehension in French and English. CogSci'19 - 41st Annual Meeting of the Cognitive Science Society, Jul 2019, Montréal, Canada. ⟨hal-02432831⟩
  • Anthony Strock, Nicolas P. Rougier, Xavier Hinaut. A Simple Reservoir Model of Working Memory with Real Values. 2018 International Joint Conference on Neural Networks (IJCNN), Jul 2018, Rio de Janeiro, Brazil. ⟨10.1109/IJCNN.2018.8489262⟩. ⟨hal-01803594⟩
  • Xavier Hinaut. Which Input Abstraction is Better for a Robot Syntax Acquisition Model? Phonemes, Words or Grammatical Constructions?. 2018 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob), Sep 2018, Tokyo, Japan. ⟨hal-01889919v2⟩
  • Silvia Pagliarini, Arthur Leblois, Xavier Hinaut. Towards Biological Plausibility of Vocal Learning Models: a Short Review. ICDL-Epirob Workshop on Continual Unsupervised Sensorimotor Learning, Sep 2018, Tokyo, Japan. ⟨hal-01942822⟩
  • Silvia Pagliarini, Xavier Hinaut, Arthur Leblois. A bio-inspired model towards vocal gesture learning in songbird. 2018 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob), Sep 2018, Tokyo, Japan. ⟨hal-01906459v2⟩
  • Silvia Pagliarini, Xavier Hinaut, Arthur Leblois. Learning an inverse model for vocal production: toward a bio-inspired model. European Birdsong Meeting, Apr 2018, Odense, Denmark. ⟨hal-01963115⟩
  • Johannes Twiefel, Xavier Hinaut, Stefan Wermter. Syntactic Reanalysis in Language Models for Speech Recognition. 2017 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob), Sep 2017, Lisbon, Portugal. ⟨hal-01558462v2⟩
  • Xavier Hinaut. From Phonemes to Robot Commands with a Neural Parser. IEEE ICDL-EPIROB Workshop on Language Learning, Sep 2017, Lisbon, Portugal. pp.1-2. ⟨hal-01665823⟩
  • Xavier Hinaut, Aurore Cazala, Catherine del Negro. Neural coding of variable song structure in the songbird. EBM 2017 - European Birdsong Meeting, May 2017, Bordeaux, France. pp.1. ⟨hal-01665824⟩
  • Xavier Hinaut. Modelling sentence processing with random recurrent neural networks and applications to robotics. Workshop "The role of the basal ganglia in the interaction between language and other cognitive functions", Anne-Catherine Bachoud-Lévi, Maria Giavazzi, Charlotte Jacquemot, Laboratoire de NeuroPsychologie Interventionnelle., Oct 2017, Paris, France. ⟨hal-01673440⟩
  • Xavier Hinaut, Johannes Twiefel. Recurrent Neural Network Sentence Parser for Multiple Languages with Flexible Meaning Representations for Home Scenarios. IROS Workshop on Bio-inspired Social Robot Learning in Home Scenarios, Oct 2016, Daejon, South Korea. ⟨hal-01417667⟩
  • Xavier Hinaut. Recurrent Neural Network for Syntax Learning with Flexible Representations. IEEE ICDL-EPIROB Workshop on Language Learning, Dec 2016, Cergy, France. ⟨hal-01417060⟩
  • Xavier Hinaut, Johannes Twiefel, Stefan Wermter. Recurrent Neural Network for Syntax Learning with Flexible Predicates for Robotic Architectures. The Sixth Joint IEEE International Conference Developmental Learning and Epigenetic Robotics (ICDL-EPIROB), Sep 2016, Cergy, France. ⟨hal-01417697⟩
  • Johannes Twiefel, Xavier Hinaut, Marcelo Borghetti, Erik Strahl, Stefan Wermter. Using Natural Language Feedback in a Neuro-inspired Integrated Multimodal Robotic Architecture. 25th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), Aug 2016, New York City, United States. pp.52 - 57, ⟨10.1109/ROMAN.2016.7745090⟩. ⟨hal-01417706⟩
  • Johannes Twiefel, Xavier Hinaut, Stefan Wermter. Semantic Role Labelling for Robot Instructions using Echo State Networks. European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), Apr 2016, Bruges, Belgium. ⟨hal-01417701⟩
  • Luiza Mici, Xavier Hinaut, Stefan Wermter. Activity recognition with echo state networks using 3D body joints and objects category. European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), Apr 2016, Bruges, Belgium. pp.465 - 470. ⟨hal-01417710⟩
  • Xavier Hinaut. Reservoir Computing for Robot Language Acquisition. IROS Workshop on Machine Learning Methods for High-Level Cognitive Capabilities in Robotics, Oct 2016, Daejon, South Korea. ⟨hal-01417683⟩
  • Xavier Hinaut, Johannes Twiefel, Marcelo Borghetti Soares, Pablo Barros, Luiza Mici, et al.. Humanoidly Speaking -How the Nao humanoid robot can learn the name of objects and interact with them through common speech. International Joint Conference on Artificial Neural Networks – IJCAI, Video Competition, Jul 2015, Buenos Aires, Argentina. ⟨hal-02561332⟩
  • Xavier Hinaut, Johannes Twiefel, Maxime Petit, Peter Dominey, Stefan Wermter. 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 (CoCo 2015), Dec 2015, Montreal, Canada. ⟨hal-02561258⟩
  • Xavier Hinaut, Stefan Wermter. An Incremental Approach to Language Acquisition: Thematic Role Assignment with Echo State Networks. In: Wermter S. et al. (eds) Artificial Neural Networks and Machine Learning – ICANN 2014, Sep 2014, Hamburg, Germany. pp.33--40, ⟨10.1007/978-3-319-11179-7_5⟩. ⟨hal-02561290⟩
  • Gregoire Pointeau, Maxime Petit, Xavier Hinaut, Guillaume Gibert, Peter Ford Dominey. On-Line Learning of Lexical Items and Grammatical Constructions via Speech, Gaze and Action-Based Human-Robot Interaction. INTERSPEECH 2013 - 14th Annual Conference of the International Speech Communication Association, Aug 2013, Lyon, France. ⟨hal-02561340⟩
  • Xavier Hinaut, Peter Ford Dominey. On-Line Processing of Grammatical Structure Using Reservoir Computing. In A. E. P. Villa, et al.: Artificial Neural Networks and Machine Learning - ICANN 2012 - 22nd International Conference on Artificial Neural Networks, Sep 2012, Lausanne, Switzerland. pp.596-603, ⟨10.1007/978-3-642-33269-2_75⟩. ⟨hal-02561301⟩
  • Xavier Hinaut, Maxime Petit, Peter Dominey. Online Language Learning to Perform and Describe Actions for Human-Robot Interaction. Post-Graduate Conference on Robotics and Development of Cognition, Sep 2012, Lausanne, Switzerland. ⟨hal-02561346⟩
  • Xavier Hinaut, Peter Dominey. A three-layered cortical network encodes identity and abstract categorical structure of behavioral sequences as in the primate lateral prefrontal cortex. Cinquième conférence plénière française de Neurosciences Computationnelles, "Neurocomp'10", Aug 2010, Lyon, France. ⟨hal-00553435⟩

Poster communications8 documents

  • Subba Reddy Oota, Frédéric Alexandre, Xavier Hinaut. Investigating Long-Term Context of Language Models on Brain Activity during Narrative Listening in fMRI. FENS Forum 2022, Jul 2022, Paris, France. ⟨hal-03699886⟩
  • Xavier Hinaut, Nathan Trouvain. ReservoirPy: Efficient Training of Recurrent Neural Networks for Timeseries Processing. EuroSciPy 2022 - 14th European Conference on Python in Science, Aug 2022, Basel, Switzerland. ⟨hal-03780006⟩
  • Subba Reddy Oota, Frédéric Alexandre, Xavier Hinaut. Learning to Parse Sentences with Cross-Situational Learning using Different Word Embeddings Towards Robot Grounding. Spatial Language Understanding and Grounded Communication for Robotics Workshop, ACL-IJCNLP 2021, Aug 2021, Bangkok, Thailand. ⟨hal-03533730⟩
  • Xavier Hinaut, Alexandre Variengien. Recurrent Neural Networks Models for Developmental Language Acquisition: Reservoirs Outperform LSTMs. SNL 2020 - 12th Annual Meeting of the Society for the Neurobiology of Language, Oct 2020, Virtual Edition, Canada. ⟨hal-03146558⟩
  • Silvia Pagliarini, Arthur Leblois, Xavier Hinaut. A Vocal Learning Model: Development And Analysis. IMOL 2019 - Fourth International Workshop on Intrinsically Motivated Open-ended Learning, Jul 2019, Frankfurt, Germany. ⟨hal-02413140⟩
  • Jean-Baptiste Zacchello, Xavier Hinaut, Arthur Leblois. Replication of Laje & Mindlin's model producing synthetic syllables. European Birdsong Meeting, Apr 2018, Odense, Denmark. 2018. ⟨hal-01964522⟩
  • Xavier Hinaut. From Phonemes to Sentence Comprehension: A Neurocomputational Model of Sentence Processing for Robots. SBDM2018 Satellite-Workshop on interfaces between Robotics, Artificial Intelligence and Neuroscience, May 2018, Paris, France. ⟨hal-01964524⟩
  • Anthony Strock, Nicolas P. Rougier, Xavier Hinaut. A Simple Reservoir Model of Working Memory with Real Values. Third workshop on advanced methods in theoretical neuroscience, Jun 2018, Göttingen, Germany. ⟨hal-01861784⟩

Book sections1 document

  • Anthony Strock, Nicolas P. Rougier, Xavier Hinaut. Using Conceptors to Transfer Between Long-Term and Short-Term Memory. Artificial Neural Networks and Machine Learning —ICANN 2019: Workshop and Special Sessions, Springer, pp.19-23, 2019, ⟨10.1007/978-3-030-30493-5_2⟩. ⟨hal-02387559⟩

Preprints, Working Papers, ...5 documents

  • Subba Reddy Oota, Frédéric Alexandre, Xavier Hinaut. Cross-Situational Learning Towards Robot Grounding. 2022. ⟨hal-03628290v2⟩
  • Nathan Trouvain, Xavier Hinaut. reservoirpy: A Simple and Flexible Reservoir Computing Tool in Python. 2022. ⟨hal-03699931⟩
  • Silvia Pagliarini, Nathan Trouvain, Arthur Leblois, Xavier Hinaut. What does the Canary Say? Low-Dimensional GAN Applied to Birdsong. 2021. ⟨hal-03244723v2⟩
  • Alexandre Variengien, Xavier Hinaut. A Journey in ESN and LSTM Visualisations on a Language Task. 2020. ⟨hal-03030248⟩
  • Xavier Hinaut, Johannes Twiefel. Teach Your Robot Your Language! Trainable Neural Parser for Modelling Human Sentence Processing: Examples for 15 Languages. 2017. ⟨hal-01665807⟩

Reports2 documents

  • Frédéric Alexandre, Denis Chiron, Ikram Chraibi Kaadoud, Martine Courbin-Coulaud, Snigdha Dagar, et al.. Neurosmart, une histoire de cerveau et de passionné·e·s de science. [Rapport Technique] RT-0509, Inria. 2020, pp.19. ⟨hal-03013647⟩
  • Thierry Viéville, Xavier Hinaut, Thalita F Drumond, Frédéric Alexandre. Recurrent neural network weight estimation through backward tuning. [Research Report] RR-9100, Inria Bordeaux Sud-Ouest. 2017, pp.1-54. ⟨hal-01610735⟩