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ORCIDBlake Bordelon
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2020 – today
- 2024
[c15]Blake Bordelon, Lorenzo Noci, Mufan Bill Li, Boris Hanin, Cengiz Pehlevan:
Depthwise Hyperparameter Transfer in Residual Networks: Dynamics and Scaling Limit. ICLR 2024- [c14]Tanishq Kumar, Blake Bordelon, Samuel J. Gershman, Cengiz Pehlevan:
Grokking as the transition from lazy to rich training dynamics. ICLR 2024 - [c13]Blake Bordelon, Alexander B. Atanasov, Cengiz Pehlevan:
A Dynamical Model of Neural Scaling Laws. ICML 2024 - [i19]Blake Bordelon, Alexander B. Atanasov, Cengiz Pehlevan
:
A Dynamical Model of Neural Scaling Laws. CoRR abs/2402.01092 (2024) - [i18]Blake Bordelon, Hamza Tahir Chaudhry, Cengiz Pehlevan:
Infinite Limits of Multi-head Transformer Dynamics. CoRR abs/2405.15712 (2024) - [i17]Blake Bordelon, Alexander B. Atanasov, Cengiz Pehlevan:
How Feature Learning Can Improve Neural Scaling Laws. CoRR abs/2409.17858 (2024) - 2023
- [c12]Alexander B. Atanasov, Blake Bordelon, Sabarish Sainathan, Cengiz Pehlevan:
The Onset of Variance-Limited Behavior for Networks in the Lazy and Rich Regimes. ICLR 2023 - [c11]Blake Bordelon, Cengiz Pehlevan:
The Influence of Learning Rule on Representation Dynamics in Wide Neural Networks. ICLR 2023 - [c10]Nikhil Vyas, Alexander B. Atanasov, Blake Bordelon, Depen Morwani, Sabarish Sainathan, Cengiz Pehlevan:
Feature-Learning Networks Are Consistent Across Widths At Realistic Scales. NeurIPS 2023 - [c9]Blake Bordelon, Paul Masset, Henry Kuo, Cengiz Pehlevan:
Loss Dynamics of Temporal Difference Reinforcement Learning. NeurIPS 2023 - [c8]Blake Bordelon, Cengiz Pehlevan:
Dynamics of Finite Width Kernel and Prediction Fluctuations in Mean Field Neural Networks. NeurIPS 2023 - [i16]Blake Bordelon, Cengiz Pehlevan:
Dynamics of Finite Width Kernel and Prediction Fluctuations in Mean Field Neural Networks. CoRR abs/2304.03408 (2023) - [i15]Nikhil Vyas, Alexander B. Atanasov, Blake Bordelon, Depen Morwani, Sabarish Sainathan, Cengiz Pehlevan:
Feature-Learning Networks Are Consistent Across Widths At Realistic Scales. CoRR abs/2305.18411 (2023) - [i14]Blake Bordelon, Paul Masset, Henry Kuo, Cengiz Pehlevan:
Dynamics of Temporal Difference Reinforcement Learning. CoRR abs/2307.04841 (2023) - [i13]Blake Bordelon, Lorenzo Noci, Mufan Bill Li, Boris Hanin, Cengiz Pehlevan:
Depthwise Hyperparameter Transfer in Residual Networks: Dynamics and Scaling Limit. CoRR abs/2309.16620 (2023) - [i12]Tanishq Kumar, Blake Bordelon, Samuel J. Gershman, Cengiz Pehlevan:
Grokking as the Transition from Lazy to Rich Training Dynamics. CoRR abs/2310.06110 (2023) - 2022
- [c7]Alexander B. Atanasov, Blake Bordelon, Cengiz Pehlevan:
Neural Networks as Kernel Learners: The Silent Alignment Effect. ICLR 2022 - [c6]Blake Bordelon, Cengiz Pehlevan:
Learning Curves for SGD on Structured Features. ICLR 2022 - [c5]Matthew Farrell, Blake Bordelon, Shubhendu Trivedi, Cengiz Pehlevan:
Capacity of Group-invariant Linear Readouts from Equivariant Representations: How Many Objects can be Linearly Classified Under All Possible Views? ICLR 2022 - [c4]Blake Bordelon, Cengiz Pehlevan:
Self-Consistent Dynamical Field Theory of Kernel Evolution in Wide Neural Networks. NeurIPS 2022 - [i11]Blake Bordelon, Cengiz Pehlevan:
Self-Consistent Dynamical Field Theory of Kernel Evolution in Wide Neural Networks. CoRR abs/2205.09653 (2022) - [i10]Blake Bordelon, Cengiz Pehlevan:
The Influence of Learning Rule on Representation Dynamics in Wide Neural Networks. CoRR abs/2210.02157 (2022) - [i9]Alexander B. Atanasov, Blake Bordelon, Sabarish Sainathan, Cengiz Pehlevan:
The Onset of Variance-Limited Behavior for Networks in the Lazy and Rich Regimes. CoRR abs/2212.12147 (2022) - 2021
- [c3]Abdulkadir Canatar, Blake Bordelon, Cengiz Pehlevan:
Out-of-Distribution Generalization in Kernel Regression. NeurIPS 2021: 12600-12612 - [c2]Rylan Schaeffer, Blake Bordelon, Mikail Khona, Weiwei Pan, Ila Rani Fiete:
Efficient online inference for nonparametric mixture models. UAI 2021: 2072-2081 - [i8]Haozhe Shan, Blake Bordelon:
Rapid Feature Evolution Accelerates Learning in Neural Networks. CoRR abs/2105.14301 (2021) - [i7]Abdulkadir Canatar, Blake Bordelon, Cengiz Pehlevan:
Out-of-Distribution Generalization in Kernel Regression. CoRR abs/2106.02261 (2021) - [i6]Blake Bordelon, Cengiz Pehlevan:
Learning Curves for SGD on Structured Features. CoRR abs/2106.02713 (2021) - [i5]Matthew Farrell, Blake Bordelon, Shubhendu Trivedi, Cengiz Pehlevan:
Capacity of Group-invariant Linear Readouts from Equivariant Representations: How Many Objects can be Linearly Classified Under All Possible Views? CoRR abs/2110.07472 (2021) - [i4]Alexander B. Atanasov, Blake Bordelon, Cengiz Pehlevan:
Neural Networks as Kernel Learners: The Silent Alignment Effect. CoRR abs/2111.00034 (2021) - 2020
- [c1]Blake Bordelon, Abdulkadir Canatar, Cengiz Pehlevan:
Spectrum Dependent Learning Curves in Kernel Regression and Wide Neural Networks. ICML 2020: 1024-1034 - [i3]Blake Bordelon, Abdulkadir Canatar, Cengiz Pehlevan:
Spectrum Dependent Learning Curves in Kernel Regression and Wide Neural Networks. CoRR abs/2002.02561 (2020) - [i2]Abdulkadir Canatar, Blake Bordelon, Cengiz Pehlevan:
Statistical Mechanics of Generalization in Kernel Regression. CoRR abs/2006.13198 (2020)
2010 – 2019
- 2018
- [i1]Bryce Bagley, Blake Bordelon, Benjamin Moseley, Ralf Wessel:
Pre-Synaptic Pool Modification (PSPM): A Supervised Learning Procedure for Spiking Neural Networks. CoRR abs/1810.03199 (2018)
Coauthor Index
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last updated on 2024-10-22 20:17 CEST by the dblp team
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