| Axiomatic attribution for deep networks M Sundararajan, A Taly, Q Yan International conference on machine learning, 3319-3328, 2017 | 6938 | 2017 |
| Gemini: a family of highly capable multimodal models G Team, R Anil, S Borgeaud, JB Alayrac, J Yu, R Soricut, J Schalkwyk, ... arXiv preprint arXiv:2312.11805, 2023 | 2089 | 2023 |
| The many Shapley values for model explanation M Sundararajan, A Najmi International conference on machine learning, 9269-9278, 2020 | 781 | 2020 |
| Universally utility-maximizing privacy mechanisms A Ghosh, T Roughgarden, M Sundararajan Proceedings of the forty-first annual ACM symposium on Theory of computing …, 2009 | 705 | 2009 |
| Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context G Team, P Georgiev, VI Lei, R Burnell, L Bai, A Gulati, G Tanzer, ... arXiv preprint arXiv:2403.05530, 2024 | 552 | 2024 |
| Optimal marketing strategies over social networks J Hartline, V Mirrokni, M Sundararajan Proceedings of the 17th international conference on World Wide Web, 189-198, 2008 | 503 | 2008 |
| Estimating training data influence by tracing gradient descent G Pruthi, F Liu, S Kale, M Sundararajan Advances in Neural Information Processing Systems 33, 19920-19930, 2020 | 365 | 2020 |
| Did the model understand the question? PK Mudrakarta, A Taly, M Sundararajan, K Dhamdhere arXiv preprint arXiv:1805.05492, 2018 | 217 | 2018 |
| A modular correctness proof of IEEE 802.11 i and TLS C He, M Sundararajan, A Datta, A Derek, JC Mitchell Proceedings of the 12th ACM conference on Computer and communications …, 2005 | 188 | 2005 |
| How important is a neuron? K Dhamdhere, M Sundararajan, Q Yan arXiv preprint arXiv:1805.12233, 2018 | 161 | 2018 |
| Mean field equilibria of dynamic auctions with learning K Iyer, R Johari, M Sundararajan Management Science 60 (12), 2949-2970, 2014 | 151 | 2014 |
| Gradients of counterfactuals M Sundararajan, A Taly, Q Yan arXiv preprint arXiv:1611.02639, 2016 | 136 | 2016 |
| The shapley taylor interaction index M Sundararajan, K Dhamdhere, A Agarwal International conference on machine learning, 9259-9268, 2020 | 119 | 2020 |
| Analyza: Exploring data with conversation K Dhamdhere, KS McCurley, R Nahmias, M Sundararajan, Q Yan Proceedings of the 22nd International Conference on Intelligent User …, 2017 | 109 | 2017 |
| Universally optimal privacy mechanisms for minimax agents M Gupte, M Sundararajan Proceedings of the twenty-ninth ACM SIGMOD-SIGACT-SIGART symposium on …, 2010 | 105 | 2010 |
| Beyond moulin mechanisms A Mehta, T Roughgarden, M Sundararajan Proceedings of the 8th ACM Conference on Electronic Commerce, 1-10, 2007 | 93 | 2007 |
| Attribution in scale and space S Xu, S Venugopalan, M Sundararajan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 89 | 2020 |
| Revenue submodularity S Dughmi, T Roughgarden, M Sundararajan Proceedings of the 10th ACM conference on Electronic commerce, 243-252, 2009 | 89 | 2009 |
| Social marketing V MirrokniBanadaki, JD Hartline, M Sundararajan US Patent App. 12/136,070, 2009 | 78 | 2009 |
| Proceedings of the 34th International Conference on Machine Learning M Sundararajan, A Taly, Q Yan, D Precup, YW Teh PMLR, 70, 3319-3328, 2017 | 67 | 2017 |
