Higy, B., Gelderloos, L., Alishahi, A., & Chrupała, G. (2021). Discrete representations in neural models of spoken language. Proceedings of the Fourth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 163–176.
Alishahi, A., Chrupała, G., Cristia, A., Dupoux, E., Higy, B., Lavechin, M., Räsänen, O., & Yu, C. (2021). ZR-2021VG: Zero-Resource Speech Challenge, Visually-Grounded Language Modelling track, 2021 edition.
Higy, B., Elliott, D., & Chrupała, G. (2020). Textual Supervision for Visually Grounded Spoken Language Understanding. Findings of the Association for Computational Linguistics: EMNLP 2020, 2698–2709.
Chrupała, G., Higy, B., & Alishahi, A. (2020, July). Analyzing analytical methods: The case of phonology in neural models of spoken language. Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics.
Higy, B., & Bell, P. (2019). Few-shot learning with attention-based sequence-to-sequence models.
Savran, A., Tavarone, R., Higy, B., Badino, L., & Bartolozzi, C. (2018, May). Energy and Computation Efficient Audio-visual Voice Activity Detection Driven by Event-cameras. Proceedings of 13th IEEE International Conference on Automatic Face Gesture Recognition.
Higy, B., Mereta, A., Metta, G., & Badino, L. (2018). Speech Recognition for the iCub Platform. Frontiers in Robotics and AI, 5.
Higy, B., Ciliberto, C., Rosasco, L., & Natale, L. (2016). Combining sensory modalities and exploratory procedures to improve haptic object recognition in robotics. 2016 IEEE-RAS 16th International Conference on Humanoid Robots (Humanoids), 117–124.
Theses
Higy, B. (2019). Spoken command recognition for robotics [PhD thesis].
Higy, B. (2010). Représentations collectives, langage et systèmes de tagging [MA’s 2nd year thesis, in French].
Higy, B. (2009). Modélisation connexioniste de l’intégration multimodale [MA’s 1st year thesis, in French].
