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2020 – today
- 2025
[c3]John J. Vastola:
Generalization through variance: how noise shapes inductive biases in diffusion models. ICLR 2025- [i8]John J. Vastola:
Dynamical symmetries in the fluctuation-driven regime: an application of Noether's theorem to noisy dynamical systems. CoRR abs/2504.09761 (2025) - [i7]John J. Vastola:
Generalization through variance: how noise shapes inductive biases in diffusion models. CoRR abs/2504.12532 (2025) - [i6]Riley Simmons-Edler, Ryan Paul Badman, Felix Baastad Berg, Raymond Chua, John J. Vastola, Joshua Lunger, William Qian, Kanaka Rajan
:
Deep RL Needs Deep Behavior Analysis: Exploring Implicit Planning by Model-Free Agents in Open-Ended Environments. CoRR abs/2506.06981 (2025) - [i5]John J. Vastola, Samuel J. Gershman, Kanaka Rajan:
Gradient Descent as Loss Landscape Navigation: a Normative Framework for Deriving Learning Rules. CoRR abs/2510.26997 (2025) - [i4]John J. Vastola, Samuel J. Gershman, Kanaka Rajan:
A Variational Manifold Embedding Framework for Nonlinear Dimensionality Reduction. CoRR abs/2511.22128 (2025) - 2024
- [j1]Binxu Wang, John J. Vastola:
The Unreasonable Effectiveness of Gaussian Score Approximation for Diffusion Models and its Applications. Trans. Mach. Learn. Res. 2024 (2024) - [i3]Binxu Wang, John J. Vastola:
The Unreasonable Effectiveness of Gaussian Score Approximation for Diffusion Models and its Applications. CoRR abs/2412.09726 (2024) - 2023
- [c2]John J. Vastola:
Optimal packing of attractor states in neural representations. NeurReps 2023: 425-442 - [i2]Binxu Wang, John J. Vastola:
Diffusion Models Generate Images Like Painters: an Analytical Theory of Outline First, Details Later. CoRR abs/2303.02490 (2023) - [i1]Binxu Wang, John J. Vastola:
The Hidden Linear Structure in Score-Based Models and its Application. CoRR abs/2311.10892 (2023) - 2022
- [c1]John J. Vastola, Zach Cohen, Jan Drugowitsch:
Is the information geometry of probabilistic population codes learnable? NeurReps 2022: 258-277
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