| Automatic differentiation in machine learning: a survey AG Baydin, BA Pearlmutter, AA Radul, JM Siskind Journal of machine learning research 18 (153), 1-43, 2018 | 3889 | 2018 |
| Simple, distributed, and accelerated probabilistic programming D Tran, MW Hoffman, D Moore, C Suter, S Vasudevan, A Radul Advances in Neural Information Processing Systems 31, 2018 | 84 | 2018 |
| Probabilistic programming with programmable inference VK Mansinghka, U Schaechtle, S Handa, A Radul, Y Chen, M Rinard Proceedings of the 39th ACM SIGPLAN Conference on Programming Language …, 2018 | 57 | 2018 |
| Getting to the point: index sets and parallelism-preserving autodiff for pointful array programming A Paszke, DD Johnson, D Duvenaud, D Vytiniotis, A Radul, MJ Johnson, ... Proceedings of the ACM on Programming Languages 5 (ICFP), 1-29, 2021 | 55 | 2021 |
| An adaptive-mcmc scheme for setting trajectory lengths in hamiltonian monte carlo M Hoffman, A Radul, P Sountsov International Conference on Artificial Intelligence and Statistics, 3907-3915, 2021 | 47 | 2021 |
| The art of the propagator A Radul, GJ Sussman Proceedings of the 2009 international lisp conference, 1-10, 2009 | 34 | 2009 |
| Propagation networks: A flexible and expressive substrate for computation A Radul Massachusetts Institute of Technology, 2009 | 30 | 2009 |
| Perturbation confusion in forward automatic differentiation of higher-order functions O Manzyuk, BA Pearlmutter, AA Radul, DR Rush, JM Siskind Journal of Functional Programming 29, e12, 2019 | 27 | 2019 |
| You only linearize once: Tangents transpose to gradients A Radul, A Paszke, R Frostig, MJ Johnson, D Maclaurin Proceedings of the ACM on Programming Languages 7 (POPL), 1246-1274, 2023 | 25 | 2023 |
| Probabilistic programs for inferring the goals of autonomous agents MF Cusumano-Towner, A Radul, D Wingate, VK Mansinghka arXiv preprint arXiv:1704.04977, 2017 | 22 | 2017 |
| Report on the probabilistic language scheme A Radul Proceedings of the 2007 symposium on Dynamic languages, 2-10, 2007 | 21 | 2007 |
| Decomposing reverse-mode automatic differentiation R Frostig, MJ Johnson, D Maclaurin, A Paszke, A Radul arXiv preprint arXiv:2105.09469, 2021 | 12 | 2021 |
| Dex: array programming with typed indices D Maclaurin, A Radul, MJ Johnson, D Vytiniotis Program Transformations for ML Workshop at NeurIPS 2019, 2019 | 12 | 2019 |
| The base measure problem and its solution A Radul, B Alexeev International Conference on Artificial Intelligence and Statistics, 3583-3591, 2021 | 11 | 2021 |
| Time series structure discovery via probabilistic program synthesis U Schaechtle, F Saad, A Radul, V Mansinghka arXiv preprint arXiv:1611.07051, 2016 | 11 | 2016 |
| A RESTful messaging system for asynchronous distributed processing I Jacobi, A Radul Proceedings of the First International Workshop on RESTful Design, 46-53, 2010 | 10 | 2010 |
| Automatically batching control-intensive programs for modern accelerators A Radul, B Patton, D Maclaurin, M Hoffman, R A Saurous Proceedings of Machine Learning and Systems 2, 390-399, 2020 | 9 | 2020 |
| Probabilistic programming with gaussian process memoization U Schaechtle, B Zinberg, A Radul, K Stathis, VK Mansinghka arXiv preprint arXiv:1512.05665, 2015 | 9 | 2015 |
| The art of the propagator GJ Sussman, A Radul | 9 | 2009 |
| AD in Fortran: Implementation via Prepreprocessor A Radul, BA Pearlmutter, JM Siskind Recent Advances in Algorithmic Differentiation, 273-284, 2012 | 8 | 2012 |
