| SPoC: Search-based Pseudocode to Code S Kulal, P Pasupat, K Chandra, M Lee, O Padon, A Aiken, PS Liang Advances in Neural Information Processing Systems 32, 11906-11917, 2019 | 107 | 2019 |
| Gradient descent: The ultimate optimizer K Chandra, A Xie, J Ragan-Kelley, E Meijer Advances in Neural Information Processing Systems 35, 8214-8225, 2022 | 24 | 2022 |
| Bonsai: synthesis-based reasoning for type systems K Chandra, R Bodik Proceedings of the ACM on Programming Languages 2 (POPL), 1-34, 2017 | 11 | 2017 |
| Designing Perceptual Puzzles by Differentiating Probabilistic Programs K Chandra, TM Li, J Tenenbaum, J Ragan-Kelley ACM SIGGRAPH 2022 Conference Proceedings, 1-9, 2022 | 9 | 2022 |
| Domain-specific symbolic compilation R Bodik, K Chandra, PM Phothilimthana, N Yazdani 2nd Summit on Advances in Programming Languages (SNAPL 2017), 2017 | 6 | 2017 |
| Beyond Laurel/Yanny: An Autoencoder-Enabled Search for Polyperceivable Audio K Chandra, C Kabaghe, G Valiant ACL-IJCNLP 2021, 2021 | 5 | 2021 |
| Acting as inverse inverse planning K Chandra, TM Li, J Tenenbaum, J Ragan-Kelley ACM SIGGRAPH 2023 Conference Proceedings, 1-12, 2023 | 3 | 2023 |
| Differentiating Metropolis-Hastings to Optimize Intractable Densities G Arya, R Seyer, F Schäfer, A Lew, M Huot, VK Mansinghka, ... arXiv preprint arXiv:2306.07961, 2023 | 2 | 2023 |
| Storytelling as inverse inverse planning K Chandra, TM Li, J Tenenbaum, J Ragan-Kelley Proceedings of the Annual Meeting of the Cognitive Science Society 45 (45), 2023 | 2 | 2023 |
| Inferring the Future by Imagining the Past K Chandra, T Chen, TM Li, J Ragan-Kelley, J Tenenbaum arXiv preprint arXiv:2305.17195, 2023 | 1 | 2023 |
| Inverse Inverse Graphics K Chandra Massachusetts Institute of Technology, 2023 | | 2023 |
| An Unexpected Challenge in Using Forward-Mode Automatic Differentiation for Low-Memory Deep Learning K Chandra Undergraduate honors thesis, Department of Computer Science, Stanford University, 2021 | | 2021 |
| nearley: a parsing toolkit for JavaScript K Chandra, T Radvan https://github.com/kach/nearley, 2014 | | 2014 |
