Abdulkadir Canatar

According to our database, Abdulkadir Canatar authored at least 8 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

A Spectral Theory of Neural Prediction and Alignment.

Abdulkadir Canatar, Jenelle Feather, Albert J. Wakhloo, SueYeon Chung

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Bandwidth Enables Generalization in Quantum Kernel Models.

Abdulkadir Canatar, Evan Peters, Cengiz Pehlevan, Stefan M. Wild, Ruslan Shaydulin

CoRR, 2022

A Kernel Analysis of Feature Learning in Deep Neural Networks.

Abdulkadir Canatar, Cengiz Pehlevan

Proceedings of the 58th Annual Allerton Conference on Communication, 2022

2021

Asymptotics of representation learning in finite Bayesian neural networks.

Jacob A. Zavatone-Veth, Abdulkadir Canatar, Cengiz Pehlevan

CoRR, 2021

Asymptotics of representation learning in finite Bayesian neural networks.

Jacob A. Zavatone-Veth, Abdulkadir Canatar, Benjamin S. Ruben, Cengiz Pehlevan

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Out-of-Distribution Generalization in Kernel Regression.

Abdulkadir Canatar, Blake Bordelon, Cengiz Pehlevan

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Statistical Mechanics of Generalization in Kernel Regression.

Abdulkadir Canatar, Blake Bordelon, Cengiz Pehlevan

CoRR, 2020

Spectrum Dependent Learning Curves in Kernel Regression and Wide Neural Networks.

Blake Bordelon, Abdulkadir Canatar, Cengiz Pehlevan

Proceedings of the 37th International Conference on Machine Learning, 2020