Jacob A. Zavatone-Veth

29 papers A* 9Journal 18Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Random Matrix Theory Perspective on the Consistency of Diffusion Models. CoRR Binxu Wang, Jacob A. Zavatone-Veth, Cengiz Pehlevan
2025	A*	`conf`	A Model of Place Field Reorganization During Reward Maximization. ICML M. Ganesh Kumar, Blake Bordelon, Jacob A. Zavatone-Veth, Cengiz Pehlevan
2025	J	`jnl`	Pretrain-Test Task Alignment Governs Generalization in In-Context Learning. CoRR Mary I. Letey, Jacob A. Zavatone-Veth, Yue M. Lu, Cengiz Pehlevan
2025	A*	`conf`	Risk and cross validation in ridge regression with correlated samples. ICML Alexander B. Atanasov, Jacob A. Zavatone-Veth, Cengiz Pehlevan
2025	—	`conf`	Spectral regularization for adversarially-robust representation learning. IEEECONF Sheng Yang, Jacob A. Zavatone-Veth, Cengiz Pehlevan
2025	J	`jnl`	Two-Point Deterministic Equivalence for Stochastic Gradient Dynamics in Linear Models. CoRR Alexander B. Atanasov, Blake Bordelon, Jacob A. Zavatone-Veth, Courtney Paquette, Cengiz Pehlevan
2024	J	`jnl`	Asymptotic theory of in-context learning by linear attention. CoRR Yue M. Lu, Mary I. Letey, Jacob A. Zavatone-Veth, Anindita Maiti, Cengiz Pehlevan
2024	A*	`conf`	Partial observation can induce mechanistic mismatches in data-constrained models of neural dynamics. NeurIPS William Qian, Jacob A. Zavatone-Veth, Benjamin S. Ruben, Cengiz Pehlevan
2024	J	`jnl`	Risk and cross validation in ridge regression with correlated samples. CoRR Alexander B. Atanasov, Jacob A. Zavatone-Veth, Cengiz Pehlevan
2024	J	`jnl`	Scaling and renormalization in high-dimensional regression. CoRR Alexander B. Atanasov, Jacob A. Zavatone-Veth, Cengiz Pehlevan
2024	J	`jnl`	Spectral regularization for adversarially-robust representation learning. CoRR Sheng Yang, Jacob A. Zavatone-Veth, Cengiz Pehlevan
2023	A*	`conf`	Learning Curves for Deep Structured Gaussian Feature Models. NeurIPS Jacob A. Zavatone-Veth, Cengiz Pehlevan
2023	J	`jnl`	Learning curves for deep structured Gaussian feature models. CoRR Jacob A. Zavatone-Veth, Cengiz Pehlevan
2023	A*	`conf`	Long Sequence Hopfield Memory. NeurIPS Hamza Tahir Chaudhry, Jacob A. Zavatone-Veth, Dmitry Krotov, Cengiz Pehlevan
2023	J	`jnl`	Long Sequence Hopfield Memory. CoRR Hamza Tahir Chaudhry, Jacob A. Zavatone-Veth, Dmitry Krotov, Cengiz Pehlevan
2023	A*	`conf`	Neural Circuits for Fast Poisson Compressed Sensing in the Olfactory Bulb. NeurIPS Jacob A. Zavatone-Veth, Paul Masset, William L. Tong, Joseph D. Zak, Venkatesh Murthy, Cengiz Pehlevan
2023	J	`jnl`	Neural networks learn to magnify areas near decision boundaries. CoRR Jacob A. Zavatone-Veth, Sheng Yang, Julian A. Rubinfien, Cengiz Pehlevan
2022	J	`jnl`	Contrasting random and learned features in deep Bayesian linear regression. CoRR Jacob A. Zavatone-Veth, William L. Tong, Cengiz Pehlevan
2022	J	`jnl`	Drifting neuronal representations: Bug or feature? Biol. Cybern. Paul Masset, Shanshan Qin, Jacob A. Zavatone-Veth
2022	A*	`conf`	Natural gradient enables fast sampling in spiking neural networks. NeurIPS Paul Masset, Jacob A. Zavatone-Veth, J. Patrick Connor, Venkatesh Murthy, Cengiz Pehlevan
2022	J	`jnl`	On Neural Network Kernels and the Storage Capacity Problem. Neural Comput. Jacob A. Zavatone-Veth, Cengiz Pehlevan
2022	J	`jnl`	On neural network kernels and the storage capacity problem. CoRR Jacob A. Zavatone-Veth, Cengiz Pehlevan
2021	A*	`conf`	Asymptotics of representation learning in finite Bayesian neural networks. NeurIPS Jacob A. Zavatone-Veth, Abdulkadir Canatar, Benjamin S. Ruben, Cengiz Pehlevan
2021	J	`jnl`	Asymptotics of representation learning in finite Bayesian neural networks. CoRR Jacob A. Zavatone-Veth, Abdulkadir Canatar, Cengiz Pehlevan
2021	—	`conf`	Depth induces scale-averaging in overparameterized linear Bayesian neural networks. ACSCC Jacob A. Zavatone-Veth, Cengiz Pehlevan
2021	J	`jnl`	Depth induces scale-averaging in overparameterized linear Bayesian neural networks. CoRR Jacob A. Zavatone-Veth, Cengiz Pehlevan
2021	A*	`conf`	Exact marginal prior distributions of finite Bayesian neural networks. NeurIPS Jacob A. Zavatone-Veth, Cengiz Pehlevan
2021	J	`jnl`	Exact priors of finite neural networks. CoRR Jacob A. Zavatone-Veth, Cengiz Pehlevan
2020	J	`jnl`	Activation function dependence of the storage capacity of treelike neural networks. CoRR Jacob A. Zavatone-Veth, Cengiz Pehlevan