Jacob A. Zavatone-Veth

According to our database, Jacob A. Zavatone-Veth authored at least 24 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Stimulus symmetries can confound representational similarity analyses.

Farhad Pashakhanloo, Jacob A. Zavatone-Veth

CoRR, May, 2026

A Random Matrix Theory Perspective on the Consistency of Diffusion Models.

Binxu Wang, Jacob A. Zavatone-Veth, Cengiz Pehlevan

CoRR, February, 2026

2025

Pretrain-Test Task Alignment Governs Generalization in In-Context Learning.

Mary I. Letey, Jacob A. Zavatone-Veth, Yue M. Lu, Cengiz Pehlevan

CoRR, September, 2025

Two-Point Deterministic Equivalence for Stochastic Gradient Dynamics in Linear Models.

Alexander B. Atanasov, Blake Bordelon, Jacob A. Zavatone-Veth, Courtney Paquette, Cengiz Pehlevan

CoRR, February, 2025

A Model of Place Field Reorganization During Reward Maximization.

M. Ganesh Kumar, Blake Bordelon, Jacob A. Zavatone-Veth, Cengiz Pehlevan

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Risk and cross validation in ridge regression with correlated samples.

Alexander B. Atanasov, Jacob A. Zavatone-Veth, Cengiz Pehlevan

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Spectral regularization for adversarially-robust representation learning.

Sheng Yang, Jacob A. Zavatone-Veth, Cengiz Pehlevan

Proceedings of the 59th Asilomar Conference on Signals, 2025

2024

Asymptotic theory of in-context learning by linear attention.

Yue M. Lu, Mary I. Letey, Jacob A. Zavatone-Veth, Anindita Maiti, Cengiz Pehlevan

CoRR, 2024

Scaling and renormalization in high-dimensional regression.

Alexander B. Atanasov, Jacob A. Zavatone-Veth, Cengiz Pehlevan

CoRR, 2024

Partial observation can induce mechanistic mismatches in data-constrained models of neural dynamics.

William Qian, Jacob A. Zavatone-Veth, Benjamin S. Ruben, Cengiz Pehlevan

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Neural networks learn to magnify areas near decision boundaries.

Jacob A. Zavatone-Veth, Sheng Yang, Julian A. Rubinfien, Cengiz Pehlevan

CoRR, 2023

Learning Curves for Deep Structured Gaussian Feature Models.

Jacob A. Zavatone-Veth, Cengiz Pehlevan

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

Neural Circuits for Fast Poisson Compressed Sensing in the Olfactory Bulb.

Jacob A. Zavatone-Veth, Paul Masset, William L. Tong, Joseph D. Zak, Venkatesh Murthy, Cengiz Pehlevan

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

Long Sequence Hopfield Memory.

Hamza Tahir Chaudhry, Jacob A. Zavatone-Veth, Dmitry Krotov, Cengiz Pehlevan

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

2022

On Neural Network Kernels and the Storage Capacity Problem.

Jacob A. Zavatone-Veth, Cengiz Pehlevan

Neural Comput., 2022

Contrasting random and learned features in deep Bayesian linear regression.

Jacob A. Zavatone-Veth, William L. Tong, Cengiz Pehlevan

CoRR, 2022

Drifting neuronal representations: Bug or feature?

Paul Masset, Shanshan Qin, Jacob A. Zavatone-Veth

Biol. Cybern., 2022

Natural gradient enables fast sampling in spiking neural networks.

Paul Masset, Jacob A. Zavatone-Veth, J. Patrick Connor, Venkatesh Murthy, Cengiz Pehlevan

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

2021

Asymptotics of representation learning in finite Bayesian neural networks.

Jacob A. Zavatone-Veth, Abdulkadir Canatar, Cengiz Pehlevan

CoRR, 2021

Exact priors of finite neural networks.

Jacob A. Zavatone-Veth, Cengiz Pehlevan

CoRR, 2021

Exact marginal prior distributions of finite Bayesian neural networks.

Jacob A. Zavatone-Veth, Cengiz Pehlevan

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Asymptotics of representation learning in finite Bayesian neural networks.

Jacob A. Zavatone-Veth, Abdulkadir Canatar, Benjamin S. Ruben, Cengiz Pehlevan

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Depth induces scale-averaging in overparameterized linear Bayesian neural networks.

Jacob A. Zavatone-Veth, Cengiz Pehlevan

Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

2020

Activation function dependence of the storage capacity of treelike neural networks.

Jacob A. Zavatone-Veth, Cengiz Pehlevan

CoRR, 2020