Blake Bordelon

According to our database, Blake Bordelon authored at least 19 papers between 2018 and 2024.

Collaborative distances:

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

2024

A Dynamical Model of Neural Scaling Laws.

Blake Bordelon, Alexander Atanasov, Cengiz Pehlevan

CoRR, 2024

2023

Grokking as the Transition from Lazy to Rich Training Dynamics.

Tanishq Kumar, Blake Bordelon, Samuel J. Gershman, Cengiz Pehlevan

CoRR, 2023

Depthwise Hyperparameter Transfer in Residual Networks: Dynamics and Scaling Limit.

Blake Bordelon, Lorenzo Noci, Mufan Bill Li, Boris Hanin, Cengiz Pehlevan

CoRR, 2023

Dynamics of Temporal Difference Reinforcement Learning.

Blake Bordelon, Paul Masset, Henry Kuo, Cengiz Pehlevan

CoRR, 2023

Dynamics of Finite Width Kernel and Prediction Fluctuations in Mean Field Neural Networks.

Blake Bordelon, Cengiz Pehlevan

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

Loss Dynamics of Temporal Difference Reinforcement Learning.

Blake Bordelon, Paul Masset, Henry Kuo, Cengiz Pehlevan

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

Feature-Learning Networks Are Consistent Across Widths At Realistic Scales.

Nikhil Vyas, Alexander Atanasov, Blake Bordelon, Depen Morwani, Sabarish Sainathan, Cengiz Pehlevan

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

The Influence of Learning Rule on Representation Dynamics in Wide Neural Networks.

Blake Bordelon, Cengiz Pehlevan

Proceedings of the Eleventh International Conference on Learning Representations, 2023

The Onset of Variance-Limited Behavior for Networks in the Lazy and Rich Regimes.

Alexander Atanasov, Blake Bordelon, Sabarish Sainathan, Cengiz Pehlevan

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Self-Consistent Dynamical Field Theory of Kernel Evolution in Wide Neural Networks.

Blake Bordelon, Cengiz Pehlevan

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Capacity of Group-invariant Linear Readouts from Equivariant Representations: How Many Objects can be Linearly Classified Under All Possible Views?

Matthew Farrell, Blake Bordelon, Shubhendu Trivedi, Cengiz Pehlevan

Proceedings of the Tenth International Conference on Learning Representations, 2022

Learning Curves for SGD on Structured Features.

Blake Bordelon, Cengiz Pehlevan

Proceedings of the Tenth International Conference on Learning Representations, 2022

Neural Networks as Kernel Learners: The Silent Alignment Effect.

Alexander Atanasov, Blake Bordelon, Cengiz Pehlevan

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Rapid Feature Evolution Accelerates Learning in Neural Networks.

Haozhe Shan, Blake Bordelon

CoRR, 2021

Efficient online inference for nonparametric mixture models.

Rylan Schaeffer, Blake Bordelon, Mikail Khona, Weiwei Pan, Ila Rani Fiete

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 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

2018

Pre-Synaptic Pool Modification (PSPM): A Supervised Learning Procedure for Spiking Neural Networks.

Bryce Bagley, Blake Bordelon, Benjamin Moseley, Ralf Wessel

CoRR, 2018