John J. Vastola

12 papers A* 1Journal 9Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Variational Manifold Embedding Framework for Nonlinear Dimensionality Reduction. CoRR John J. Vastola, Samuel J. Gershman, Kanaka Rajan
2025	J	`jnl`	Deep RL Needs Deep Behavior Analysis: Exploring Implicit Planning by Model-Free Agents in Open-Ended Environments. CoRR Riley Simmons-Edler, Ryan Paul Badman, Felix Baastad Berg, Raymond Chua, John J. Vastola, Joshua Lunger, William Qian, Kanaka Rajan
2025	J	`jnl`	Dynamical symmetries in the fluctuation-driven regime: an application of Noether's theorem to noisy dynamical systems. CoRR John J. Vastola
2025	A*	`conf`	Generalization through variance: how noise shapes inductive biases in diffusion models. ICLR John J. Vastola
2025	J	`jnl`	Generalization through variance: how noise shapes inductive biases in diffusion models. CoRR John J. Vastola
2025	J	`jnl`	Gradient Descent as Loss Landscape Navigation: a Normative Framework for Deriving Learning Rules. CoRR John J. Vastola, Samuel J. Gershman, Kanaka Rajan
2024	J	`jnl`	The Unreasonable Effectiveness of Gaussian Score Approximation for Diffusion Models and its Applications. CoRR Binxu Wang, John J. Vastola
2024	J	`jnl`	The Unreasonable Effectiveness of Gaussian Score Approximation for Diffusion Models and its Applications. Trans. Mach. Learn. Res. Binxu Wang, John J. Vastola
2023	J	`jnl`	Diffusion Models Generate Images Like Painters: an Analytical Theory of Outline First, Details Later. CoRR Binxu Wang, John J. Vastola
2023	—	`conf`	Optimal packing of attractor states in neural representations. NeurReps John J. Vastola
2023	J	`jnl`	The Hidden Linear Structure in Score-Based Models and its Application. CoRR Binxu Wang, John J. Vastola
2022	—	`conf`	Is the information geometry of probabilistic population codes learnable? NeurReps John J. Vastola, Zach Cohen, Jan Drugowitsch