Bordelon, Pehlevan “The Influence of Learning Rule on Representation Dynamics in Wide Neural Networks”, ICLR 2023. Notable-top 25%.
Atanasov, Bordelon, Sainathan, Pehlevan The Onset of Variance-Limited Behavior for Networks in the Lazy and Rich Regimes (Equal Contribution), ICLR 2023.
Bordelon, Pehlevan “Population Codes Enable Learning from Few Examples By Shaping Inductive Bias”, Elife 2022.
Bordelon, Pehlevan Self-consistent Dynamical Field Theory of Kernel Evolution in Wide Neural Networks. Accepted to Neurips 2022.
Atanasov, Bordelon, Pehlevan “Neural Networks as Kernel Learners: The Silent Alignment Effect” (Equal Contribution), ICLR 2022.
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), ICLR 2022.
Bordelon, Pehlevan “Learning Curves for SGD on Structured Features”, ICLR 2022.
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” Nature Communications 2021.
Bordelon, Canatar, and Pehlevan, “Spectrum Dependent Learning Curves in Kernel Regression and Wide Neural Networks,” 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, 2020
Bagley, Bordelon, Moseley, Wessel “Pre-Synaptic Pool Modification (PSPM): A supervised learning procedure for recurrent spiking neural networks”" PLOS ONE, 2020.