Vastola, John

7 publications

NeurIPS 2025 Deep RL Needs Deep Behavior Analysis: Exploring Implicit Planning by Model-Free Agents in Open-Ended Environments Riley Simmons-Edler, Ryan Paul Badman, Felix Baastad Berg, Raymond Chua, John Vastola, Joshua Lunger, William Qian, Kanaka Rajan

ICLR 2025 Generalization Through Variance: How Noise Shapes Inductive Biases in Diffusion Models John Vastola

NeurIPS 2025 Gradient Descent as Loss Landscape Navigation: A Normative Framework for Deriving Learning Rules John Vastola, Samuel J. Gershman, Kanaka Rajan

NeurIPSW 2024 Dynamical Symmetries in the Fluctuation-Driven Regime: An Application of Noether's Theorem to Noisy Dynamical Systems John Vastola

TMLR 2024 The Unreasonable Effectiveness of Gaussian Score Approximation for Diffusion Models and Its Applications Binxu Wang, John Vastola

NeurIPSW 2023 Optimal Packing of Attractor States in Neural Representations John Vastola

NeurIPSW 2022 Is the Information Geometry of Probabilistic Population Codes Learnable? John Vastola, Zach Cohen, Jan Drugowitsch