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Alexander B. Atanasov
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2020 – today
- 2024
- [c4]Blake Bordelon, Alexander B. Atanasov, Cengiz Pehlevan:
A Dynamical Model of Neural Scaling Laws. ICML 2024 - [i9]Blake Bordelon, Alexander B. Atanasov, Cengiz Pehlevan:
A Dynamical Model of Neural Scaling Laws. CoRR abs/2402.01092 (2024) - [i8]Alexander B. Atanasov, Jacob A. Zavatone-Veth, Cengiz Pehlevan:
Scaling and renormalization in high-dimensional regression. CoRR abs/2405.00592 (2024) - [i7]Alexander B. Atanasov, Jacob A. Zavatone-Veth, Cengiz Pehlevan:
Risk and cross validation in ridge regression with correlated samples. CoRR abs/2408.04607 (2024) - [i6]Blake Bordelon, Alexander B. Atanasov, Cengiz Pehlevan:
How Feature Learning Can Improve Neural Scaling Laws. CoRR abs/2409.17858 (2024) - [i5]Alexander B. Atanasov, Alexandru Meterez, James B. Simon, Cengiz Pehlevan:
The Optimization Landscape of SGD Across the Feature Learning Strength. CoRR abs/2410.04642 (2024) - 2023
- [c3]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 - [c2]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 - [i4]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) - 2022
- [c1]Alexander B. Atanasov, Blake Bordelon, Cengiz Pehlevan:
Neural Networks as Kernel Learners: The Silent Alignment Effect. ICLR 2022 - [i3]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
- [i2]Alexander B. Atanasov, Blake Bordelon, Cengiz Pehlevan:
Neural Networks as Kernel Learners: The Silent Alignment Effect. CoRR abs/2111.00034 (2021)
2010 – 2019
- 2017
- [i1]Alexander B. Atanasov, Erik Schnetter:
Sparse Grid Discretizations based on a Discontinuous Galerkin Method. CoRR abs/1710.09356 (2017)
Coauthor Index
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