| DreamCoder: growing generalizable, interpretable knowledge with wake–sleep Bayesian program learning K Ellis, L Wong, M Nye, M Sable-Meyer, L Cary, L Anaya Pozo, L Hewitt, ... Philosophical Transactions of the Royal Society A 381 (2251), 20220050, 2023 | 214 | 2023 |
| Dreamcoder: Bootstrapping inductive program synthesis with wake-sleep library learning K Ellis, C Wong, M Nye, M Sablé-Meyer, L Morales, L Hewitt, L Cary, ... Proceedings of the 42nd acm sigplan international conference on programming …, 2021 | 180 | 2021 |
| Learning to infer program sketches M Nye, L Hewitt, J Tenenbaum, A Solar-Lezama International Conference on Machine Learning, 4861-4870, 2019 | 121 | 2019 |
| The variational homoencoder: Learning to learn high capacity generative models from few examples LB Hewitt, MI Nye, A Gane, T Jaakkola, JB Tenenbaum arXiv preprint arXiv:1807.08919, 2018 | 75 | 2018 |
| Quantifying the potential persuasive returns to political microtargeting BM Tappin, C Wittenberg, LB Hewitt, AJ Berinsky, DG Rand Proceedings of the National Academy of Sciences 120 (25), e2216261120, 2023 | 44 | 2023 |
| Learning to learn generative programs with Memoised Wake-Sleep L Hewitt, TA Le, J Tenenbaum Conference on Uncertainty in Artificial Intelligence, 1278-1287, 2020 | 27 | 2020 |
| System and method for inputting images or labels into electronic devices J Aley, G Jones, L Hewitt US Patent 10,664,657, 2020 | 26 | 2020 |
| Emotion prediction as computation over a generative theory of mind SD Houlihan, M Kleiman-Weiner, LB Hewitt, JB Tenenbaum, R Saxe Philosophical Transactions of the Royal Society A 381 (2251), 20220047, 2023 | 25 | 2023 |
| Estimating the persistence of party cue influence in a panel survey experiment BM Tappin, LB Hewitt Journal of Experimental Political Science 10 (1), 50-61, 2023 | 12 | 2023 |
| Auditory scene analysis as Bayesian inference in sound source models M Cusimano, L Hewitt, JB Tenenbaum, JH McDermott Cognitive Computational Neuroscience, 2018 | 11 | 2018 |
| How experiments help campaigns persuade voters: Evidence from a large archive of campaigns’ own experiments L Hewitt, D Broockman, A Coppock, BM Tappin, J Slezak, V Coffman, ... American Political Science Review, 1-19, 2024 | 9 | 2024 |
| WOLFE: an nlp-friendly declarative machine learning stack S Singh, T Rocktäschel, L Hewitt, J Naradowsky, S Riedel Proceedings of the 2015 Conference of the North American Chapter of the …, 2015 | 6 | 2015 |
| Rank-heterogeneous effects of political messages: Evidence from randomized survey experiments testing 59 video treatments L Hewitt, BM Tappin PsyArXiv, 2022 | 4 | 2022 |
| Hybrid memoised wake-sleep: approximate inference at the discrete-continuous interface TA Le, KM Collins, L Hewitt, K Ellis, N Siddharth, SJ Gershman, ... arXiv preprint arXiv:2107.06393, 2021 | 4 | 2021 |
| Designing an IDE for probabilistic programming: Challenges and a prototype S Singh, S Riedel, L Hewitt, T Rocktäschel NIPS Workshop on Probabilistic Programming, 2014 | 2 | 2014 |
| Bayesian auditory scene synthesis explains human perception of illusions and everyday sounds M Cusimano, LB Hewitt, JH McDermott bioRxiv, 2023.04. 27.538626, 2023 | 1 | 2023 |
| Inferring structured visual concepts from minimal data P Qian, L Hewitt, JB Tenenbaum, R Levy Proceedings of the Annual Meeting of the Cognitive Science Society 41, 2019 | 1 | 2019 |
| Listening with generative models M Cusimano, LB Hewitt, JH McDermott Cognition 253, 105874, 2024 | | 2024 |
| How will advanced AI systems impact democracy? C Summerfield, L Argyle, M Bakker, T Collins, E Durmus, T Eloundou, ... arXiv preprint arXiv:2409.06729, 2024 | | 2024 |
| Suggested searches NC Huston, LH Tsao, AM Pyle, D Park, K Fujise, Y Wu, R Luján, ... Perspective, 2024 | | 2024 |
Joshua B. TenenbaumMITVerified email at mit.edu