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ORCIDJacob A. Zavatone-Veth
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2020 – today
- 2024
[i13]Alexander B. Atanasov, Jacob A. Zavatone-Veth, Cengiz Pehlevan:
Scaling and renormalization in high-dimensional regression. CoRR abs/2405.00592 (2024)- [i12]Yue M. Lu, Mary I. Letey
, Jacob A. Zavatone-Veth, Anindita Maiti, Cengiz Pehlevan:
Asymptotic theory of in-context learning by linear attention. CoRR abs/2405.11751 (2024) - [i11]Sheng Yang, Jacob A. Zavatone-Veth, Cengiz Pehlevan:
Spectral regularization for adversarially-robust representation learning. CoRR abs/2405.17181 (2024) - [i10]Alexander B. Atanasov, Jacob A. Zavatone-Veth, Cengiz Pehlevan:
Risk and cross validation in ridge regression with correlated samples. CoRR abs/2408.04607 (2024) - 2023
- [c7]Hamza Tahir Chaudhry, Jacob A. Zavatone-Veth, Dmitry Krotov, Cengiz Pehlevan:
Long Sequence Hopfield Memory. NeurIPS 2023 - [c6]Jacob A. Zavatone-Veth, Paul Masset, William L. Tong, Joseph D. Zak, Venkatesh Murthy, Cengiz Pehlevan:
Neural Circuits for Fast Poisson Compressed Sensing in the Olfactory Bulb. NeurIPS 2023 - [c5]Jacob A. Zavatone-Veth, Cengiz Pehlevan:
Learning Curves for Deep Structured Gaussian Feature Models. NeurIPS 2023 - [i9]Jacob A. Zavatone-Veth, Sheng Yang, Julian A. Rubinfien, Cengiz Pehlevan:
Neural networks learn to magnify areas near decision boundaries. CoRR abs/2301.11375 (2023) - [i8]Jacob A. Zavatone-Veth, Cengiz Pehlevan:
Learning curves for deep structured Gaussian feature models. CoRR abs/2303.00564 (2023) - [i7]Hamza Tahir Chaudhry, Jacob A. Zavatone-Veth, Dmitry Krotov, Cengiz Pehlevan:
Long Sequence Hopfield Memory. CoRR abs/2306.04532 (2023) - 2022
- [j2]Paul Masset, Shanshan Qin, Jacob A. Zavatone-Veth:
Drifting neuronal representations: Bug or feature? Biol. Cybern. 116(3): 253-266 (2022) - [j1]Jacob A. Zavatone-Veth, Cengiz Pehlevan:
On Neural Network Kernels and the Storage Capacity Problem. Neural Comput. 34(5): 1136-1142 (2022) - [c4]Paul Masset, Jacob A. Zavatone-Veth, J. Patrick Connor, Venkatesh Murthy, Cengiz Pehlevan:
Natural gradient enables fast sampling in spiking neural networks. NeurIPS 2022 - [i6]Jacob A. Zavatone-Veth, Cengiz Pehlevan:
On neural network kernels and the storage capacity problem. CoRR abs/2201.04669 (2022) - [i5]Jacob A. Zavatone-Veth, William L. Tong, Cengiz Pehlevan:
Contrasting random and learned features in deep Bayesian linear regression. CoRR abs/2203.00573 (2022) - 2021
- [c3]Jacob A. Zavatone-Veth, Cengiz Pehlevan:
Depth induces scale-averaging in overparameterized linear Bayesian neural networks. ACSCC 2021: 600-607 - [c2]Jacob A. Zavatone-Veth, Cengiz Pehlevan:
Exact marginal prior distributions of finite Bayesian neural networks. NeurIPS 2021: 3364-3375 - [c1]Jacob A. Zavatone-Veth, Abdulkadir Canatar, Benjamin S. Ruben, Cengiz Pehlevan:
Asymptotics of representation learning in finite Bayesian neural networks. NeurIPS 2021: 24765-24777 - [i4]Jacob A. Zavatone-Veth, Cengiz Pehlevan:
Exact priors of finite neural networks. CoRR abs/2104.11734 (2021) - [i3]Jacob A. Zavatone-Veth, Abdulkadir Canatar, Cengiz Pehlevan:
Asymptotics of representation learning in finite Bayesian neural networks. CoRR abs/2106.00651 (2021) - [i2]Jacob A. Zavatone-Veth, Cengiz Pehlevan:
Depth induces scale-averaging in overparameterized linear Bayesian neural networks. CoRR abs/2111.11954 (2021) - 2020
- [i1]Jacob A. Zavatone-Veth, Cengiz Pehlevan:
Activation function dependence of the storage capacity of treelike neural networks. CoRR abs/2007.11136 (2020)
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