Publications
2025
Estimating Dimensionality of Neural Representations from Finite Samples
Chanwoo Chun*, Abdulkadir Canatar*, SueYeon Chung, and Daniel Lee
arXiv preprint arXiv:2509.26560, 2025 Link
Spectral Analysis of Representational Similarity with Limited Neurons
Hyunmo Kang*, Abdulkadir Canatar*, and SueYeon Chung
Advances in Neural Information Processing Systems, 2025 Link
Estimating Neural Representation Alignment from Sparsely Sampled Inputs and Features
Chanwoo Chun*, Abdulkadir Canatar*, SueYeon Chung, and Daniel Lee
8th Annual Conference on Cognitive Computational Neuroscience, 2025 Link
Statistical mechanics of support vector regression
Abdulkadir Canatar and SueYeon Chung
Physical Review E, 2025 Link
2024
A Spectral Theory of Neural Prediction and Alignment
Abdulkadir Canatar*, Jenelle Feather*, Albert Wakhloo, and SueYeon Chung
Advances in Neural Information Processing Systems, 36, 2024 Link
2022
Statistical Mechanics of Generalization in Kernel Regression and Wide Neural Networks
Abdulkadir Canatar
PhD Thesis, Harvard University, 2022 Link
A Kernel Analysis of Feature Learning in Deep Neural Networks
Abdulkadir Canatar and Cengiz Pehlevan
58th Annual Allerton Conference on Communication, Control, and Computing (Allerton), 2022 Link
Bandwidth Enables Generalization in Quantum Kernel Models
Abdulkadir Canatar, Evan Peters, Cengiz Pehlevan, Stefan M. Wild, and Ruslan Shaydulin
Transactions on Machine Learning Research, 2022 Link
2021
Asymptotics of representation learning in finite Bayesian neural networks
Jacob Zavatone-Veth, Abdulkadir Canatar, Ben Ruben, and Cengiz Pehlevan
Advances in Neural Information Processing Systems, 2021 Link
Out-of-distribution generalization in kernel regression
Abdulkadir Canatar, Blake Bordelon, and Cengiz Pehlevan
Advances in Neural Information Processing Systems, 2021 Link
Spectral bias and task-model alignment explain generalization in kernel regression and infinitely wide neural networks
Abdulkadir Canatar, Blake Bordelon, and Cengiz Pehlevan
Nature Communications, 2021 Link
2020
Spectrum Dependent Learning Curves in Kernel Regression and Wide Neural Networks
Blake Bordelon, Abdulkadir Canatar, and Cengiz Pehlevan
Proceedings of the 37th International Conference on Machine Learning, 2020 Link
*Equal contribution indicated by asterisk (*)