Publications

Proust, J. (2021). Le naturalisme philosophique et les sciences. Raison présente, 219, 53-63. doi:10.3917/rpre.219.0053

Ramus, F., Di Folco , C. , Guez, A. & Peyre, H. (2021). Epidémiologie des troubles de la lecture en France : une comparaison du DSM-5 et de la CIM-11. Approche neuropsychologique des apprentissages chez l'enfant, 175, 639-649

Ramus, F. (2018). Do gifted people have a qualitatively different brain?,Les surdoués ont-ils un cerveau qualitativement différent ? ANAE - Approche Neuropsychologique des Apprentissages chez l'Enfant, 30(154), 281-287

Ramus, F. (2012). Les troubles spécifiques de la lecture. Information Grammaticale, 133, 34-40

Ramus, F. (2011). Quel pouvoir prédictif de la génétique et des neurosciences, et quels problmes? Medecine et Droit, 2011(106), 51-58. doi:10.1016/j.meddro.2010.10.010

Ramus, F. (2008). Génétique de la dyslexie développementale. ANAE - Approche Neuropsychologique des Apprentissages chez l'Enfant, 20, 9-14

Ramus, F. (2005). Aux origines cognitives, neurobiologiques et génétiques de la dyslexie. ANAE - Approche Neuropsychologique des Apprentissages chez l'Enfant, 17, 247-253

Nicolas, D. (2004). Is there anything characteristic about the meaning of a count noun? Revue de la Lexicologie, 18-19, 125-138

Nicolas, D. (2002). Do mass nouns constitute a semantically uniform class? Kansas Working Papers in Linguistics, 26, 113-121. doi:10.17161/KWPL.1808.591

Osses , A. & Varnet, L. (2023). Using auditory models to mimic human listeners in reverse correlation experiments from the fastACI toolbox. In , Turin, Italy.

Poli, M. , Dupoux, E. & Riad, R. (2023). Introducing Topography in Convolutional Neural Networks. In CASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Rhodes Island, Greece, 1-5. doi:10.1109/ICASSP49357.2023.10096671

Millet, J., Caucheteux, C. , Boubenec, Y., Gramfort, A., Dunbar, E., Pallier, C. & King, J. (2022). Toward a realistic model of speech processing in the brain with self-supervised learning. , Vol. 35: In 36th Conference on Neural Information Processing Systems, 33428-33443.

Riad, R., Titeux, H., Lemoine, L., Montillot, J., Sliwinski, A., Hamet Bagnou, J., Cao, X., Bachoud-Levi, A. & Dupoux, E. (2022). A comparison study on patient-psychologist voice diarization. In Ninth Workshop on Speech and Language Processing for Assistive Technologies (SLPAT-2022), Dublin, Ireland: Association for Computational Linguistics, 30-36. doi:10.18653/v1/2022.slpat-1.4

Riochet, R., Ynocente Castro, M., Bernard, M., Lerer, A., Fergus, R., Izard, V. & Dupoux, E. (2022). IntPhys 2019: A Benchmark for Visual Intuitive Physics Understanding. , Vol. 44: In IEEE Transactions on Pattern Analysis and Machine Intelligence, 5016-5025. doi:10.1109/TPAMI.2021.3083839

Caucheteux, C. , Gramfort, A. & King, J. (2021). Disentangling syntax and semantics in the brain with deep networks. , Vol. 139: In International Conference on Machine Learning, PMLR, 1336-1348.

Osses , A. & Varnet, L. (2021). Consonant-in-noise discrimination using an auditory model with different speech- based decision devices. In DAGA, Vienna Austria.

Chaabouni, R., Kharitonov, E., Bouchacourt, F., Dupoux, E. & Baroni, M. (2020). Compositionality and Generalization in Emergent Languages. In Proceedings of ACL 2020 (58th Annual Meeting of the Association for Computational Linguistics), East Stroudsburg PA: ACL.

Chiril, P. , Moriceau, V. , Benamara, F. , Mari, A., Origgi, G. & Coulomb-Gully, M. (2020). An Annotated Corpus for Sexism Detection in French Tweets. In LREC 2020, Marseille, EuropeanLanguageResourcesAssociation (ELRA), 1397–1403.

Kahn, J., Rivière, M., Zheng, W., Kharitonov, E., Xu, Q., Mazaré, P., Karadayi, J., Lipchinsky , V., Collobert, R., Fuegen, C., Likhomanenko, T., Synnaeve, G., Joulin, A., Mohamed, A. & Dupoux, E. (2020). Libri-Light: A Benchmark for ASR with Limited or No Supervision. In Acoustics Speech and Signal Processing (ICASSP) ICASSP 2020 - 2020 IEEE International Conference, 2020 IEEE International Conference , 7414-7418. doi:10.1109/ICASSP40776.2020.9052942

Thoret, E., Andrillon, T., Gauriau, C., Léger, D. & Pressnitzer, D. (2020). Sleep deprivation impacts speech spectro-temporal modulations. In e-FA2020 (e- Forum Acusticum 2020 ), Lyon, France.

Erdmann, A. , Joseph Wrisley, D., Allen, B. , Brown, C. , Cohen-Bodenes, S., Elsner, M. , Feng, Y. , D Joseph, B. , Joyeux-Prunel, B. & de Marneffe, M. (2019). Practical, Efficient, and Customizable Active Learning for Named Entity Recognition in the Digital Humanities. In Proceedings of the 2019 Conference of the North, 2223-2234. doi:10.18653/v1/N19-1231

Zeghidour, N., Usunier, N., Synnaeve, G., Collobert, R. & Dupoux, E. (2019). End-to-End Speech Recognition from the raw waveform. In Interspeech-2018.

Zuk, N. , Di Liberto, G. & Lalor, E. (2019). Linear-nonlinear Bernoulli modeling for quantifying temporal coding of phonemes in brain responses to continuous speech. In 2019 Conference on Cognitive Computational Neuroscience, Berlin, Germany.

Caze, R., Humphries, M., Gutkin, B. & Schultz, S. (2013). A difficult classification for neurons without dendrites. In Neural Engineering (NER), 2013 6th International IEEE/EMBS Conference on, San Diego, CA, USA, IEEE, 215-218. doi:10.1109/NER.2013.6695910

Peperkamp, S., Skoruppa, K. & Dupoux, E. (2006). The role of phonetic naturalness in phonological rule acquisition. In Proceedings of the 30th Annual Boston University Conference on Language Development, 464-475.

Peperkamp, S., Pettinato, M. & Dupoux, E. (2003). Allophonic variation and the acquisition of phoneme categories. In Proceedings of the 27th Annual Boston University Conference on Language Development., 650-661.

Bouvier, A. (2018). Selected Papers from the 6th ENPOSS Meeting, Cracow, 20-22 September, 2017.

Ylikoski, P., Bouvier, A., Kaldis , B., Montuschi , E., Zahle , J. & Zamora-Bonilla, J. (2017). Selected Papers from the 5th ENPOSS Meeting, Helsinki, 24-26 August, 2016. Special issue of Philosophy of the Social Sciences.