| Representer point selection for explaining deep neural networks CK Yeh, J Kim, IEH Yen, PK Ravikumar Advances in neural information processing systems 31, 2018 | 280 | 2018 |
| Pllay: Efficient topological layer based on persistent landscapes K Kim, J Kim, M Zaheer, J Kim, F Chazal, L Wasserman Advances in Neural Information Processing Systems 33, 15965-15977, 2020 | 69 | 2020 |
| FACT: A diagnostic for group fairness trade-offs JS Kim, J Chen, A Talwalkar International Conference on Machine Learning, 5264-5274, 2020 | 61 | 2020 |
| Interpretable machine learning: Moving from mythos to diagnostics V Chen, J Li, JS Kim, G Plumb, A Talwalkar Communications of the ACM 65 (8), 43-50, 2022 | 60 | 2022 |
| Model-agnostic characterization of fairness trade-offs JS Kim, J Chen, A Talwalkar arXiv preprint arXiv:2004.03424 8, 2020 | 21 | 2020 |
| Sanity simulations for saliency methods JS Kim, G Plumb, A Talwalkar arXiv preprint arXiv:2105.06506, 2021 | 17 | 2021 |
| Bayesian persuasion for algorithmic recourse K Harris, V Chen, J Kim, A Talwalkar, H Heidari, SZ Wu Advances in Neural Information Processing Systems 35, 11131-11144, 2022 | 14 | 2022 |
| Best practices for interpretable machine learning in computational biology V Chen, M Yang, W Cui, JS Kim, A Talwalkar, J Ma Biorxiv, 2022.10. 28.513978, 2022 | 14 | 2022 |
| Towards connecting use cases and methods in interpretable machine learning V Chen, J Li, JS Kim, G Plumb, A Talwalkar arXiv preprint arXiv:2103.06254 20, 36, 2021 | 9 | 2021 |
| A rotation invariant latent factor model for moveme discovery from static poses MR Ronchi, JS Kim, Y Yue 2016 IEEE 16th International Conference on Data Mining (ICDM), 1179-1184, 2016 | 7 | 2016 |
| Assisting Human Decisions in Document Matching JS Kim, V Chen, D Pruthi, NB Shah, A Talwalkar arXiv preprint arXiv:2302.08450, 2023 | 6 | 2023 |
| Automated dependence plots D Inouye, L Leqi, JS Kim, B Aragam, P Ravikumar Conference on Uncertainty in Artificial Intelligence, 1238-1247, 2020 | 4 | 2020 |
| Applying interpretable machine learning in computational biology—pitfalls, recommendations and opportunities for new developments V Chen, M Yang, W Cui, JS Kim, A Talwalkar, J Ma Nature methods 21 (8), 1454-1461, 2024 | 3 | 2024 |
| Diagnostic Curves for Black Box Models. DI Inouye, L Leqi, JS Kim, B Aragam, P Ravikumar arXiv preprint arXiv:1912.01108, 2019 | 1 | 2019 |
