Atanasov,

**Bordelon**, Pehlevan “Neural Networks as Kernel Learners: The Silent Alignment Effect” (Equal Contribution)Farrell,

**Bordelon**, Trivedi, Pehlevan “Capacity of Group-invariant Linear Readouts from Equivariant Representations: How Many Objects can be Linearly Classified Under All Possible Views?” (Equal Contribution)**Bordelon**, Pehlevan “Learning Curves for SGD on Structured Features” 2021.Shan,

**Bordelon**“Rapid Feature Evolution Accelerates Learning in Neural Networks” (Equal Contribution) 2021.**Bordelon**, Pehlevan “Population Codes Enable Learning from Few Examples By Shaping Inductive Bias” 2021.

Canatar,

**Bordelon**, Pehlevan “Out-of-Distribution Generalization in Kernel Regression”, Neurips 2021.Canatar,

**Bordelon**, and Pehlevan, “Spectral bias and task-model alignment explain generalization in kernel regression and infinitely wide neural networks” 2021.**Bordelon**, Canatar, and Pehlevan, “Spectrum Dependent Learning Curves in Kernel Regression and Wide Neural Networks,” International Conference of Machine Learning (ICML), 2020.Atkinson, Mahzoon, Keim,

**Bordelon**, Pruitt, Charity, and Dickhoff “Dispersive optical model analysis of Pb-208 generating a neutron-skin prediction beyond the mean field,” Phys. Rev. C 101, 044303, 2020Bagley,

**Bordelon**, Moseley, Wessel “Pre-Synaptic Pool Modification (PSPM): A supervised learning procedure for recurrent spiking neural networks”" PLOS ONE, 2020.