| Cold case: The lost mnist digits C Yadav, L Bottou Advances in neural information processing systems 32, 2019 | 119 | 2019 |
| On the design of convolutional neural networks for automatic detection of Alzheimer’s disease S Liu, C Yadav, C Fernandez-Granda, N Razavian Machine Learning for Health Workshop, 184-201, 2020 | 69 | 2020 |
| XAudit: A Theoretical Look at Auditing with Explanations C Yadav, M Moshkovitz, K Chaudhuri arXiv preprint arXiv:2206.04740, 2022 | 3 | 2022 |
| A learning-theoretic framework for certified auditing of machine learning models C Yadav, M Moshkovitz, K Chaudhuri arXiv preprint arXiv:2206.04740, 2022 | 3 | 2022 |
| Using brain MRI images to predict memory, BMI & age C Yadav, N Razavian 2019 IEEE International Conference on Humanized Computing and Communication …, 2019 | 3 | 2019 |
| Behavior of k-NN as an Instance-Based Explanation Method C Yadav, K Chaudhuri Joint European Conference on Machine Learning and Knowledge Discovery in …, 2021 | 1 | 2021 |
| FairProof: Confidential and Certifiable Fairness for Neural Networks C Yadav, AR Chowdhury, D Boneh, K Chaudhuri arXiv preprint arXiv:2402.12572, 2024 | | 2024 |
| Keeping Up with the Language Models: Robustness-Bias Interplay in NLI Data and Models IB Soares, C Yadav, P Das, K Varshney Annual Meeting of the Association for Computational Linguistics, 2023 | | 2023 |
| Keeping Up with the Language Models: Robustness-Bias Interplay in NLI Data and Models I Baldini, C Yadav, P Das, KR Varshney arXiv preprint arXiv:2305.12620, 2023 | | 2023 |
Narges RazavianNew York University Medical CenterVerified email at nyumc.org
