Yasaman Bahri
Google (United States)(US)
Publications by Year
Research Areas
Topological Materials and Phenomena, Neural Networks and Applications, Gaussian Processes and Bayesian Inference, Adversarial Robustness in Machine Learning, Stochastic Gradient Optimization Techniques
Most-Cited Works
- → Deep Neural Networks as Gaussian Processes(2017)335 cited
- → Statistical Mechanics of Deep Learning(2019)238 cited
- → Localization and topology protected quantum coherence at the edge of hot matter(2015)229 cited
- → Sensitivity and Generalization in Neural Networks: an Empirical Study(2018)224 cited
- → Dynamical Isometry and a Mean Field Theory of CNNs: How to Train\n 10,000-Layer Vanilla Convolutional Neural Networks(2018)175 cited
- → Bayesian Deep Convolutional Networks with Many Channels are Gaussian Processes(2018)169 cited
- → Explaining neural scaling laws(2024)112 cited
- Geometry of neural network loss surfaces via random matrix theory(2017)