Behnam Neyshabur

Behnam Neyshabur publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Behnam Neyshabur sits on this spectrum.

Behnam Neyshabur D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Behnam Neyshabur sits on this spectrum.

Best Publications

• Exploring Generalization in Deep Learning

  Behnam Neyshabur;Srinadh Bhojanapalli;David McAllester;Nathan Srebro

  989
  Citations

• Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models

  Unknown

  545
  Citations

• Norm-Based Capacity Control in Neural Networks

  Behnam Neyshabur;Ryota Tomioka;Nathan Srebro

  426
  Citations

• A PAC-Bayesian Approach to Spectrally-Normalized Margin Bounds for Neural Networks

  Behnam Neyshabur;Srinadh Bhojanapalli;Nathan Srebro

  388
  Citations

• Predicting protein-protein interactions through sequence-based deep learning.

  Somaye Hashemifar;Behnam Neyshabur;Aly A Khan;Jinbo Xu

  379
  Citations

• Global optimality of local search for low rank matrix recovery

  Srinadh Bhojanapalli;Behnam Neyshabur;Nathan Srebro

  337
  Citations

• Gemma 2: Improving Open Language Models at a Practical Size

  Unknown

  333
  Citations

• Towards Understanding the Role of Over-Parametrization in Generalization of Neural Networks

  Behnam Neyshabur;Zhiyuan Li;Srinadh Bhojanapalli;Yann LeCun

  330
  Citations

• Solving Quantitative Reasoning Problems with Language Models

  Unknown

  283
  Citations

• Path-SGD: path-normalized optimization in deep neural networks

  Behnam Neyshabur;Ruslan Salakhutdinov;Nathan Srebro

  261
  Citations

• What is being transferred in transfer learning

  Behnam Neyshabur;Hanie Sedghi;Chiyuan Zhang

  233
  Citations

• Fantastic Generalization Measures and Where to Find Them

  Yiding Jiang;Behnam Neyshabur;Hossein Mobahi;Dilip Krishnan

  232
  Citations

• NETAL: a new graph-based method for global alignment of protein–protein interaction networks

  Behnam Neyshabur;Ahmadreza Khadem;Somaye Hashemifar;Seyed Shahriar Arab

  212
  Citations

• Exploring Generalization in Deep Learning

  Behnam Neyshabur;Srinadh Bhojanapalli;David McAllester;Nathan Srebro

  201
  Citations

• The role of over-parametrization in generalization of neural networks

  Behnam Neyshabur;Zhiyuan Li;Srinadh Bhojanapalli;Yann LeCun

  183
  Citations

• What is being transferred in transfer learning

  Behnam Neyshabur;Hanie Sedghi;Chiyuan Zhang

  181
  Citations

• On Symmetric and Asymmetric LSHs for Inner Product Search

  Behnam Neyshabur;Nathan Srebro

  168
  Citations

• Fantastic Generalization Measures and Where to Find Them

  Yiding Jiang;Behnam Neyshabur;Dilip Krishnan;Hossein Mobahi

  148
  Citations

• Geometry of Optimization and Implicit Regularization in Deep Learning.

  Behnam Neyshabur;Ryota Tomioka;Ruslan Salakhutdinov;Nathan Srebro

  140
  Citations

• Global Optimality of Local Search for Low Rank Matrix Recovery

  Srinadh Bhojanapalli;Behnam Neyshabur;Nathan Srebro

  137
  Citations