| Provably robust deep learning via adversarially trained smoothed classifiers H Salman, J Li, I Razenshteyn, P Zhang, H Zhang, S Bubeck, G Yang Advances in Neural Information Processing Systems, 11292-11303, 2019 | 204 | 2019 |
| Bayesian Deep Convolutional Networks with Many Channels are Gaussian Processes R Novak, L Xiao, Y Bahri, J Lee, G Yang, DA Abolafia, J Pennington, ... | 168 | 2018 |
| Scaling limits of wide neural networks with weight sharing: Gaussian process behavior, gradient independence, and neural tangent kernel derivation G Yang arXiv preprint arXiv:1902.04760, 2019 | 154 | 2019 |
| Mean Field Residual Networks: On the Edge of Chaos G Yang, S Schoenholz Advances in neural information processing systems, 7103-7114, 2017 | 120 | 2017 |
| A mean field theory of batch normalization G Yang, J Pennington, V Rao, J Sohl-Dickstein, SS Schoenholz arXiv preprint arXiv:1902.08129, 2019 | 106 | 2019 |
| A convex relaxation barrier to tight robustness verification of neural networks H Salman, G Yang, H Zhang, CJ Hsieh, P Zhang Advances in Neural Information Processing Systems, 9835-9846, 2019 | 90 | 2019 |
| Tensor Programs I: Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes G Yang Advances in Neural Information Processing Systems, 9947-9960, 2019 | 58* | 2019 |
| Randomized smoothing of all shapes and sizes G Yang, T Duan, JE Hu, H Salman, I Razenshteyn, J Li International Conference on Machine Learning, 10693-10705, 2020 | 44 | 2020 |
| A Fine-Grained Spectral Perspective on Neural Networks G Yang, H Salman arXiv preprint arXiv:1907.10599, 2019 | 33 | 2019 |
| Tensor Programs II: Neural Tangent Kernel for Any Architecture G Yang arXiv preprint arXiv:2006.14548, 2020 | 22 | 2020 |
| NAIL: A General Interactive Fiction Agent M Hausknecht, R Loynd, G Yang, A Swaminathan, JD Williams arXiv preprint arXiv:1902.04259, 2019 | 21 | 2019 |
| Feature Learning in Infinite-Width Neural Networks G Yang, EJ Hu arXiv preprint arXiv:2011.14522, 2020 | 16 | 2020 |
| Tensor Programs III: Neural Matrix Laws G Yang arXiv preprint arXiv:2009.10685, 2020 | 13 | 2020 |
| Denoised Smoothing: A Provable Defense for Pretrained Classifiers H Salman, M Sun, G Yang, A Kapoor, JZ Kolter Advances in Neural Information Processing Systems 33, 2020 | 13 | 2020 |
| Lie access neural Turing machine G Yang arXiv preprint arXiv:1602.08671, 2016 | 13 | 2016 |
| Black-box Smoothing: A Provable Defense for Pretrained Classifiers H Salman, M Sun, G Yang, A Kapoor, JZ Kolter arXiv preprint arXiv:2003.01908, 2020 | 9 | 2020 |
| Dynamical Isometry and a Mean Field Theory of LSTMs and GRUs D Gilboa, B Chang, M Chen, G Yang, SS Schoenholz, EH Chi, ... arXiv preprint arXiv:1901.08987, 2019 | 9 | 2019 |
| Deep Mean Field Theory: Layerwise Variance and Width Variation as Methods to Control Gradient Explosion G Yang, SS Schoenholz | 8 | 2018 |
| On Infinite-Width Hypernetworks E Littwin, T Galanti, L Wolf, G Yang arXiv preprint arXiv:2003.12193, 2020 | 6* | 2020 |
| 3DB: A Framework for Debugging Computer Vision Models G Leclerc, H Salman, A Ilyas, S Vemprala, L Engstrom, V Vineet, K Xiao, ... arXiv preprint arXiv:2106.03805, 2021 | 5 | 2021 |
Hadi SalmanMITVerified email at mit.edu
