Publications

Pacherie, E. & Castro, V. (2022). Robots and Resentment: Commitments, recognition and social motivation in HRI. Emotional Machines. Perspectives from Affective Computing and Emotional Human-Machine InteractionSpringer Fachmedien Wiesbaden

Chevallier, C. (2021). Vivre dans un environnement risqué : quels impacts pour la psychologie ? In Claudia Senik (Eds.), Sociétés en danger (Odile Jacob ed., pp. 197 à 208). Paris: La Découverte. doi:10.3917/dec.senik.2021.01.0197

Lussange, J., Belianin, A., Bourgeois-Gironde, S. & Gutkin, B. (2021). Learning and Cognition in Financial Markets: A Paradigm Shift for Agent-Based Models. Advances in Intelligent Systems and Computing (Vol. 1252, pp. 241-255). doi:10.1007/978-3-030-55190-2_19

Kharitonov, E., Rivière, M., Synnaeve, G., Wolf, L., Mazaré, P., Douze, M. & Dupoux, E. (2021). Data Augmenting Contrastive Learning of Speech Representations in the Time Domain. In IEEE (Eds.), In 2021 IEEE Spoken Language Technology Workshop (SLT, 215-222.

Riochet, R., Castro, M. , Bernard, M., Lerer, A., Fergus, R., Izard, V. & Dupoux, E. (2021). Intphys 2019: A benchmark for visual intuitive physics understanding. In IEEE Transactions on Pattern Analysis and Machine Intelligence. doi:10.1109/TPAMI.2021.3083839

M Siriwardena, Y., Marion, G. & Shamma, S. (2022). The Mirrornet: Learning Audio Synthesizer Controls Inspired by Sensorimotor Interaction. In ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 946-950. doi:10.1109/ICASSP43922.2022.9747358

Parikh, R. , Kavalerov, I. , Espy-Wilson, C. & Shamma, S. (2022). Harmonicity Plays a Critical Role in DNN Based Versus in Biologically-Inspired Monaural Speech Segregation Systems. In ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 536-540. doi:10.1109/ICASSP43922.2022.9747314

Graves, J., Egré, P., Pressnitzer, D. & de Gardelle, V. (2021). An implicit representation of stimulus ambiguity in pupil size. , Vol. 18: In Proceedings of the National Academy of Sciences, e2107997118. doi:10.1073/pnas.2107997118

Berthommier, F. & Lorenzi, C. (2021). Implications of Physiological Mechanisms of Amplitude Modulation Processing for Modeling Complex Sounds Analysis and Separation. (pp. 12). doi:10.1201/9781003064183

Rita, M., Strub, F. , Pietquin, O. & Dupoux, E. (2022). Population size and agent heterogeneity in simulated language emergence. In Proc. of ICLR .

Mylopoulos, M. & Pacherie, E. (2020). Self-Control as Hybrid Skill. In A. Mele (Eds.), Surrounding Self-Control (pp. 81-100). Oxford : Oxford University Press. doi:10.1093/oso/9780197500941.003.0005

Butterfill , S. & Pacherie, E. (2020). Towards a blueprint for a social animal. In Fiebich, Anika (Eds.), Minimal Cooperation and Shared Agency (pp. 111-125).Springer . doi:10.1007/978-3-030-29783-1

Bourgeois-Gironde, S. (2020). Le sourire de ma boulangère : sur le rôle des expressions faciales dans les transactions monétaires. In Claudia Senik (Eds.), Crise de confiance ? (pp. 213-230). Paris: La Découverte, "Recherche"

Alemi, A., Machens, C., Denève, S. & Slotine, J. (2018). Learning nonlinear dynamics in efficient, balanced spiking networks using local plasticity rules. In Thirty-Second AAAI Conference on Artificial Intelligence, New Orleans, Louisiana, USA, AAAI Press.

Shamma, S. (2020). Temporal Coherence Principle in Scene Analysis. The Senses: A Comprehensive Reference (Second Edition) (Vol. 2, pp. 777-790).Elsevier. doi:10.1016/B978-0-12-809324-5.24252-1

Pressnitzer, D., Agus, T., Kang, H. , Graves, J. & Andrillon, T. (2021). Apprentissage de motifs sonores. In S. Samson, B. Tillmann, C. Jourdan, V. Brun (Eds.), Audition et Cognition Montpellier: Sauramps Medical

Schatz, T., Feldman, N., Goldwater, S., Cao, X. & Dupoux, E. (2021). Early phonetic learning without phonetic categories: Insights from large-scale simulations on realistic input. In National Academy of Sciences (Eds.), Vol. 118: In Proceedings of the National Academy of Sciences, 7. doi:10.31234/osf.io/fc4wh

Rivière, M. & Dupoux, E. (2021). Towards unsupervised learning of speech features in the wild. In 2021 IEEE Spoken Language Technology Workshop (SLT), 156-163.

Er Jiang, B., Dunbar, E., Sonderegger, M., Clayards, M. & Dupoux, E. (2020). Modelling Perceptual Effects of Phonology with ASR Systems. In CogSci 2020-42nd Annual Virtual Meeting of the Cognitive Science Society.

Rivière, M., Mazaré, P., Joulin, A. & Dupoux, E. (2020). Unsupervised pretraining transfers well across languages. In IEEE (Eds.), In ICASSP-2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). doi:10.1109/ICASSP40776.2020.9054548

Chaabouni, R., Kharitonov, E., Dupoux, E. & Baroni, M. (2019). Anti-efficient encoding in emergent communication. In NeuRIPS.

Riad, R., Bachoud-Levi, A., Rudzicz , F. & Dupoux, E. (2020). Identification of primary and collateral tracks in stuttered speech. , Vol. Proceedings of The 12th Language Resources and Evaluation Conference: In LREC, European Language Resources Association, 1681–1688.

Chevallier, C. (2019). Theory of mind and autism: Revisiting Baron-Cohen et al.’s Sally-Anne study. In A. Slater and P. Quinn (Eds.), Developmental Psychology: Revisiting the Classic Studies 2nd edition (pp. 148-163).Sage

Bourgeois-Gironde, S. (2019). Comment Managua fut vers 1979 le lieu d’un événement linguistique révolutionnaire. In ESKA (Eds.), Problèmes d'Amérique latine (Vol. 112, pp. 101-114). doi:0.3917/pal.112.0101

Chaabouni, R., Kharitonov, E., Lazaric, A., Dupoux, E. & Baroni, M. (2019). Word-order biases in deep-agent emergent communication. In ACL 2019.

Dunbar, E., Algayres, R., Karadayi, J., Bernard, M., Benjumea, J., Cao, X., Miskic, L., Dugrain, C., Ondel, L., Black, A., Besacier, L., Sakti, S. & Dupoux, E. (2019). The Zero Resource Speech Challenge 2019: TTS without T. In INTERSPEECH-2019.

Fourtassi, A. & Dupoux, E. (2019). Phoneme learning is influenced by the taxonomic organization of the semantic referents. In Cognitive Science Society (Eds.), In Proceedings of the Cognitive Science Conference, 323-324.

Titeux, H., Riad, R., Cao, X., Hamilakis, N., Madden, K., Cristia, A., Bachoud-Levi, A. & Dupoux, E. (2020). Seshat: A tool for managing and verifying annotation campaigns of audio data. In LREC - 2th Language Resources and Evaluation Conference, Marseille, France.

Batty, M., Kovarski, K. & Meaux, E. (2018). De l’exploration à la perception des visages chez les personnes avec un trouble du spectre de l’autisme. Neuropsychologie et remédiations des troubles du spectre de l’autismeEditions deboeck Supérieur

Ondel, L., Godard, P., Besacier, L., Larsen, E., Hasegawa-Johnson, M., Scharenborg, O., Dupoux, E., Burget, L., Yvon, F. & Khudanpur, S. (2018). Bayesian Models For Unit Discovery On a Very Low Resource Language. In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).