| Conditional generative adversarial nets for convolutional face generation J Gauthier Class project for Stanford CS231N: convolutional neural networks for visual …, 2014 | 720 | 2014 |
| A fast unified model for parsing and sentence understanding SR Bowman, J Gauthier, A Rastogi, R Gupta, CD Manning, C Potts ACL 2016, 2016 | 423 | 2016 |
| A systematic assessment of syntactic generalization in neural language models J Hu arXiv preprint arXiv:2005.03692, 2020 | 244 | 2020 |
| On the Predictive Power of Neural Language Models for Human Real-Time Comprehension Behavior E Gotlieb Wilcox, J Gauthier, J Hu, P Qian, R Levy arXiv e-prints, arXiv: 2006.01912, 2020 | 185* | 2020 |
| Linking artificial and human neural representations of language J Gauthier, R Levy Empirical Methods for Natural Language Processing, 2019 | 92 | 2019 |
| SyntaxGym: An online platform for targeted evaluation of language models J Gauthier, J Hu, E Wilcox, P Qian, R Levy Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020 | 89 | 2020 |
| Are distributional representations ready for the real world? Evaluating word vectors for grounded perceptual meaning L Lucy, J Gauthier ACL 2017 Workshop on Language Grounding for Robotics, 2017 | 69 | 2017 |
| Does the brain represent words? An evaluation of brain decoding studies of language understanding J Gauthier, A Ivanova arXiv preprint arXiv:1806.00591, 2018 | 41 | 2018 |
| A paradigm for situated and goal-driven language learning J Gauthier, I Mordatch NIPS 2016 Machine Intelligence Workshop, 2016 | 37 | 2016 |
| Conditional generative adversarial networks for convolutional face generation J Gauthier Tech Report, 2015 | 21 | 2015 |
| Language model acceptability judgements are not always robust to context K Sinha, J Gauthier, A Mueller, K Misra, K Fuentes, R Levy, A Williams arXiv preprint arXiv:2212.08979, 2022 | 16 | 2022 |
| Word learning and the acquisition of syntactic--semantic overhypotheses J Gauthier, R Levy, JB Tenenbaum arXiv preprint arXiv:1805.04988, 2018 | 15 | 2018 |
| Probing self-supervised speech models for phonetic and phonemic information: a case study in aspiration K Martin, J Gauthier, C Breiss, R Levy Proceedings of INTERSPEECH 2023, 251-255, 2023 | 13 | 2023 |
| Learning syntactic structures from string input EG Wilcox, J Gauthier, J Hu, P Qian, R Levy Algebraic Structures in Natural Language, 113-138, 2022 | 8 | 2022 |
| Does the brain represent words J Gauthier, A Ivanova An evaluation of brain decoding studies of language understanding, 2018 | 7 | 2018 |
| Query-guided visual search J Chu, J Gauthier, R Levy, J Tenenbaum, L Schulz Proceedings of the Annual Meeting of the Cognitive Science Society 41, 2019 | 3 | 2019 |
| A rational model of syntactic bootstrapping J Gauthier, RP Levy, JB Tenenbaum Choices 1 (2), 3, 2019 | 3 | 2019 |
| From mental representations to neural codes: A multilevel approach J Gauthier, J Loula, E Pollock, TB Wilson, C Wong Behavioral and Brain Sciences 42, 2019 | 2 | 2019 |
| The neural dynamics of word recognition and integration J Gauthier, R Levy Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023 | | 2023 |
| The neural dynamics of auditory word recognition and integration J Gauthier, R Levy Conference on Cognitive Computational Neuroscience, 2023 | | 2023 |
Roger LevyProfessor of Brain & Cognitive Sciences, MITEmail verificata su mit.edu