Yasaman Bahri

1. Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
   2022/06/09 by Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao +448 · 3 voices · 131 citations
   #cs.CL #cs.AI #cs.CY #cs.LG #stat.ML
2. Wide Neural Networks of Any Depth Evolve as Linear Models Under Gradient Descent
   2019/02/18 by Jaehoon Lee, Lechao Xiao, Samuel S. Schoenholz +4 · 2 voices · 12 citations
   Mathematics · Computer Science · #stat.ML #cs.LG
3. Deep Neural Networks as Gaussian Processes
   2017/11/01 by Jaehoon Lee, Lee, Jaehoon, Yasaman Bahri +9 · 62 citations
   Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistical Mechanics and Entropy #Target Tracking and Data Fusion in Sensor Networks
4. Sensitivity and Generalization in Neural Networks: an Empirical Study
   2018/02/23 by Roman Novak, Yasaman Bahri, Novak, Roman +7 · 20 citations
   Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications #Neural and Evolutionary Computing (cs.NE)
5. Dynamical Isometry and a Mean Field Theory of CNNs: How to Train 10,000-Layer Vanilla Convolutional Neural Networks
   2018/06/14 by Lechao Xiao, Yasaman Bahri, Xiao, Lechao +7 · 28 citations
   Computer Science · #Generative Adversarial Networks and Image Synthesis #Advanced Neural Network Applications #Human Pose and Action Recognition
6. Bayesian Deep Convolutional Networks with Many Channels are Gaussian\n Processes
   2018/10/11 by Roman Novak, Lechao Xiao, Novak, Roman +16 · 22 citations
   Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Neural and Evolutionary Computing (cs.NE)
7. The large learning rate phase of deep learning: the catapult mechanism
   2020/03/04 by Aitor Lewkowycz, Yasaman Bahri, Lewkowycz, Aitor +7 · 22 citations
   Computer Science · #Stochastic Gradient Optimization Techniques #Domain Adaptation and Few-Shot Learning #Neural Networks and Applications
8. Localization and topology protected quantum coherence at the edge of\n 'hot' matter
   2013/07/15 by Yasaman Bahri, Bahri, Yasaman, Ronen Vosk +5 · 5 citations
   Physics and Astronomy · #Magnetic properties of thin films #Quantum and electron transport phenomena #Topological Materials and Phenomena
9. Symmetry in language statistics shapes the geometry of model representations
   2026/02/16 by Dhruva Karkada, Daniel J. Korchinski, Andres Nava +2 · 2 voices · 2 citations
   #cs.LG #cond-mat.dis-nn #cs.CL
10. On the Emergence of Linear Analogies in Word Embeddings
    2025/05/24 by Daniel J. Korchinski, Korchinski, Daniel J., Dhruva Karkada +5 · 1 voice · 1 citation
    Computer Science · Physics and Astronomy · #Computation and Language (cs.CL) #Disordered Systems and Neural Networks (cond-mat.dis-nn) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #cond-mat.dis-nn #cs.CL #cs.LG