| Sliced Score Matching: A Scalable Approach to Density and Score Estimation Y Song*, S Garg*, J Shi, S Ermon Uncertainty in Artificial Intelligence 2019, 2019 | 326 | 2019 |
| Counterfactual fairness in text classification through robustness S Garg, V Perot, N Limtiaco, A Taly, EH Chi, A Beutel AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (AIES), 2019, 2018 | 252 | 2018 |
| Dynamic precision analog computing for neural networks S Garg, J Lou, A Jain, Z Guo, BJ Shastri, M Nahmias IEEE Journal of Selected Topics in Quantum Electronics 29 (2: Optical …, 2022 | 35 | 2022 |
| Confounding Tradeoffs for Neural Network Quantization S Garg, A Jain, J Lou, M Nahmias arXiv preprint arXiv:2102.06366, 2021 | 21 | 2021 |
| Anytime Sampling for Autoregressive Models via Ordered Autoencoding Y Xu, Y Song, S Garg, L Gong, R Shu, A Grover, S Ermon International Conference on Learning Representations (ICLR) 2021, 2021 | 15 | 2021 |
| Perception in dynamic scenes: What is your Heider capacity? FA Wick, A Alaoui Soce, S Garg, RC Grace, JM Wolfe Journal of Experimental Psychology: General 148 (2), 252, 2019 | 13 | 2019 |
| Perception of dynamic scenes: What is your Heider capacity? FA Wick, S Garg, A Soce, J Wolfe Journal of Vision 16 (12), 573-573, 2016 | | 2016 |
Stefano ErmonStanford UniversityVerified email at cs.stanford.edu
