| Online Bayesian Goal Inference for Boundedly Rational Planning Agents T Zhi-Xuan, J Mann, T Silver, J Tenenbaum, V Mansinghka Advances in Neural Information Processing Systems 33, 2020 | 113 | 2020 |
| Modeling emotion in complex stories: the Stanford Emotional Narratives Dataset DC Ong, Z Wu, ZX Tan, M Reddan, I Kahhale, A Mattek, J Zaki IEEE Transactions on Affective Computing 12 (3), 579-594, 2019 | 79 | 2019 |
| Predator dormancy is a stable adaptive strategy due to Parrondo's paradox ZX Tan, JM Koh, EV Koonin, KH Cheong Advanced Science 7 (3), 1901559, 2020 | 51 | 2020 |
| Towards Guaranteed Safe AI: A Framework for Ensuring Robust and Reliable AI Systems D Dalrymple, J Skalse, Y Bengio, S Russell, M Tegmark, S Seshia, ... arXiv preprint arXiv:2405.06624, 2024 | 37 | 2024 |
| Factorized Inference in Deep Markov Models for Incomplete Multimodal Time Series T Zhi-Xuan, H Soh, DC Ong AAAI, 2020 | 29 | 2020 |
| Sequential Monte Carlo Steering of Large Language Models using Probabilistic Programs AK Lew, T Zhi-Xuan, G Grand, VK Mansinghka arXiv preprint arXiv:2306.03081, 2023 | 25 | 2023 |
| Attending to emotional narratives Z Wu, X Zhang, T Zhi-Xuan, J Zaki, DC Ong 2019 8th International Conference on Affective Computing and Intelligent …, 2019 | 23 | 2019 |
| Modeling the Mistakes of Boundedly Rational Agents Within a Bayesian Theory of Mind A Alanqary, GZ Lin, J Le, T Zhi-Xuan, VK Mansinghka, JB Tenenbaum Proceedings of the Annual Meeting of the Cognitive Science Society 43 (43), 2021 | 22 | 2021 |
| SMCP3: Sequential Monte Carlo with Probabilistic Program Proposals AK Lew, G Matheos, T Zhi-Xuan, M Ghavamizadeh, N Gothoskar, ... AISTATS, 2023 | 17 | 2023 |
| Cross-issue solidarity and truth convergence in opinion dynamics ZX Tan, KH Cheong Journal of Physics A: Mathematical and Theoretical 51 (35), 355101, 2018 | 17 | 2018 |
| Building machines that learn and think with people KM Collins, I Sucholutsky, U Bhatt, K Chandra, L Wong, M Lee, CE Zhang, ... Nature Human Behaviour 8 (10), 1851-1863, 2024 | 16 | 2024 |
| Inferring the goals of communicating agents from actions and instructions L Ying, T Zhi-Xuan, V Mansinghka, JB Tenenbaum Proceedings of the AAAI Symposium Series 2 (1), 26-33, 2023 | 16 | 2023 |
| That’s mine! Learning ownership relations and norms for robots ZX Tan, J Brawer, B Scassellati Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 8058-8065, 2019 | 16 | 2019 |
| Pragmatic Instruction Following and Goal Assistance via Cooperative Language-Guided Inverse Planning T Zhi-Xuan, L Ying, V Mansinghka, JB Tenenbaum Proceedings of the 23rd International Conference on Autonomous Agents and …, 2024 | 15 | 2024 |
| PDDL. jl: An Extensible Interpreter and Compiler Interface for Fast and Flexible AI Planning T Zhi-Xuan Massachusetts Institute of Technology, 2022 | 12 | 2022 |
| The Neuro-Symbolic Inverse Planning Engine (NIPE): Modeling Probabilistic Social Inferences from Linguistic Inputs L Ying, KM Collins, M Wei, CE Zhang, T Zhi-Xuan, A Weller, ... arXiv preprint arXiv:2306.14325, 2023 | 11 | 2023 |
| Solving the Baby Intuitions Benchmark with a Hierarchically Bayesian Theory of Mind T Zhi-Xuan, N Gothoskar, F Pollok, D Gutfreund, JB Tenenbaum, ... RSS 2022 Workshop on Social Intelligence in Humans and Robots, 2022 | 11 | 2022 |
| When it is not out of line to get out of line: The role of universalization and outcome-based reasoning in rule-breaking judgments J Kwon, T Zhi-Xuan, J Tenenbaum, S Levine PsyArXiv, 2023 | 9 | 2023 |
| Beyond Preferences in AI Alignment T Zhi-Xuan, M Carroll, M Franklin, H Ashton Philosophical Studies, 1-51, 2024 | 8 | 2024 |
| Grounding Language about Belief in a Bayesian Theory-of-Mind L Ying, T Zhi-Xuan, L Wong, V Mansinghka, J Tenenbaum Proceedings of the Annual Meeting of the Cognitive Science Society 46 (46), 2024 | 7 | 2024 |
Joshua B. TenenbaumMITVerified email at mit.edu