Jacob A. Zavatone-Veth

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 21

Top Topics

Learning Curves

Highly Discriminative

Storage Capacity

Top Venues

Publications

Yue M. Lu, Mary I. Letey, Jacob A. Zavatone-Veth, Anindita Maiti, Cengiz Pehlevan
Asymptotic theory of in-context learning by linear attention. CoRR (2024)
Alexander B. Atanasov, Jacob A. Zavatone-Veth, Cengiz Pehlevan
Scaling and renormalization in high-dimensional regression. CoRR (2024)
Sheng Yang, Jacob A. Zavatone-Veth, Cengiz Pehlevan
Spectral regularization for adversarially-robust representation learning. CoRR (2024)
Jacob A. Zavatone-Veth, Sheng Yang, Julian A. Rubinfien, Cengiz Pehlevan
Neural networks learn to magnify areas near decision boundaries. CoRR (2023)
Jacob A. Zavatone-Veth, Cengiz Pehlevan
Learning Curves for Deep Structured Gaussian Feature Models. NeurIPS (2023)
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)
Jacob A. Zavatone-Veth, Cengiz Pehlevan
Learning curves for deep structured Gaussian feature models. CoRR (2023)
Hamza Tahir Chaudhry, Jacob A. Zavatone-Veth, Dmitry Krotov, Cengiz Pehlevan
Long Sequence Hopfield Memory. CoRR (2023)
Hamza Tahir Chaudhry, Jacob A. Zavatone-Veth, Dmitry Krotov, Cengiz Pehlevan
Long Sequence Hopfield Memory. NeurIPS (2023)
Jacob A. Zavatone-Veth, Cengiz Pehlevan
On Neural Network Kernels and the Storage Capacity Problem. Neural Comput. 34 (5) (2022)
Jacob A. Zavatone-Veth, Cengiz Pehlevan
On neural network kernels and the storage capacity problem. CoRR (2022)
Paul Masset, Shanshan Qin, Jacob A. Zavatone-Veth
Drifting neuronal representations: Bug or feature? Biol. Cybern. 116 (3) (2022)
Jacob A. Zavatone-Veth, William L. Tong, Cengiz Pehlevan
Contrasting random and learned features in deep Bayesian linear regression. CoRR (2022)
Paul Masset, Jacob A. Zavatone-Veth, J. Patrick Connor, Venkatesh Murthy, Cengiz Pehlevan
Natural gradient enables fast sampling in spiking neural networks. NeurIPS (2022)
Jacob A. Zavatone-Veth, Cengiz Pehlevan
Depth induces scale-averaging in overparameterized linear Bayesian neural networks. ACSCC (2021)
Jacob A. Zavatone-Veth, Abdulkadir Canatar, Benjamin S. Ruben, Cengiz Pehlevan
Asymptotics of representation learning in finite Bayesian neural networks. NeurIPS (2021)
Jacob A. Zavatone-Veth, Abdulkadir Canatar, Cengiz Pehlevan
Asymptotics of representation learning in finite Bayesian neural networks. CoRR (2021)
Jacob A. Zavatone-Veth, Cengiz Pehlevan
Exact marginal prior distributions of finite Bayesian neural networks. NeurIPS (2021)
Jacob A. Zavatone-Veth, Cengiz Pehlevan
Depth induces scale-averaging in overparameterized linear Bayesian neural networks. CoRR (2021)
Jacob A. Zavatone-Veth, Cengiz Pehlevan
Exact priors of finite neural networks. CoRR (2021)
Jacob A. Zavatone-Veth, Cengiz Pehlevan
Activation function dependence of the storage capacity of treelike neural networks. CoRR (2020)