| Trading off Utility, Informativeness, and Complexity in Emergent Communication M Tucker, R Levy, J Shah, N Zaslavsky NeurIPS 2023, 2022 | 30* | 2022 |
| Towards interpretable deep reinforcement learning with human-friendly prototypes EM Kenny, M Tucker, J Shah The Eleventh International Conference on Learning Representations, 2022 | 26 | 2022 |
| Emergent discrete communication in semantic spaces M Tucker, H Li, S Agrawal, D Hughes, K Sycara, M Lewis, JA Shah Advances in Neural Information Processing Systems 34, 10574-10586, 2021 | 26 | 2021 |
| What if this modified that? syntactic interventions with counterfactual embeddings M Tucker, P Qian, R Levy Association for Computational Linguistics, 2021 | 26 | 2021 |
| Learning unknown groundings for natural language interaction with mobile robots M Tucker, D Aksaray, R Paul, GJ Stein, N Roy Robotics Research: The 18th International Symposium ISRR, 317-333, 2020 | 26 | 2020 |
| Adversarially guided self-play for adopting social conventions M Tucker, Y Zhou, J Shah arXiv preprint arXiv:2001.05994, 2020 | 13 | 2020 |
| Latent space alignment using adversarially guided self-play M Tucker, Y Zhou, JA Shah International Journal of Human–Computer Interaction 38 (18-20), 1753-1771, 2022 | 9 | 2022 |
| Interpretable learned emergent communication for human-agent teams S Karten, M Tucker, H Li, S Kailas, M Lewis, K Sycara IEEE Transactions on Cognitive and Developmental Systems, 2023 | 8 | 2023 |
| When Does Syntax Mediate Neural Language Model Performance? Evidence from Dropout Probes M Tucker, T Eisape, P Qian, R Levy, J Shah Proceedings of the 2022 Conference of the North American Chapter of the …, 2022 | 6 | 2022 |
| Towards true lossless sparse communication in multi-agent systems S Karten, M Tucker, S Kailas, K Sycara 2023 IEEE International Conference on Robotics and Automation (ICRA), 7191-7197, 2023 | 5 | 2023 |
| Generalization and Translatability in Emergent Communication via Informational Constraints M Tucker, RP Levy, J Shah, N Zaslavsky NeurIPS 2022 Workshop on Information-Theoretic Principles in Cognitive Systems, 2022 | 4 | 2022 |
| What if this modified that? syntactic interventions via counterfactual embeddings M Tucker, P Qian, R Levy arXiv preprint arXiv:2105.14002, 2021 | 4 | 2021 |
| Prototype based classification from hierarchy to fairness M Tucker, JA Shah International Conference on Machine Learning, 21884-21900, 2022 | 2 | 2022 |
| Human-Guided Complexity-Controlled Abstractions A Peng, M Tucker, E Kenny, N Zaslavsky, P Agrawal, JA Shah Advances in Neural Information Processing Systems 36, 2024 | 1 | 2024 |
| An Information Bottleneck Characterization of the Understanding-Workload Tradeoff L Sanneman, M Tucker, J Shah arXiv preprint arXiv:2310.07802, 2023 | 1 | 2023 |
| The Enforcers: Consistent Sparse-Discrete Methods for Constraining Informative Emergent Communication. S Karten, S Agrawal, M Tucker, D Hughes, M Lewis, J Shah, KP Sycara CoRR, 2022 | 1 | 2022 |
| Increasing Brain-LLM Alignment via Information-Theoretic Compression M Tucker, G Tuckute UniReps: the First Workshop on Unifying Representations in Neural Models, 2023 | | 2023 |
| Information-Theoretic Underpinnings of Generalization and Translation in Emergent Communication M Tucker, J Shah, RP Levy, N Zaslavsky | | 2022 |
| Probe-Based Interventions for Modifying Agent Behavior M Tucker, W Kuhl, K Shahid, S Karten, K Sycara, J Shah arXiv preprint arXiv:2201.12938, 2022 | | 2022 |
| DCG-UPUP-Away: automatic symbol acquisition through grounding to unknowns M Tucker Massachusetts Institute of Technology, 2016 | | 2016 |
Julie ShahProfessor, Department of Aeronautics and Astronautics, MITVerified email at csail.mit.edu
