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On neural differential equations
P Kidger - ar** learning
algorithms that infer independent and symmetric entities from the perceptual input. This often …
algorithms that infer independent and symmetric entities from the perceptual input. This often …
On training implicit models
This paper focuses on training implicit models of infinite layers. Specifically, previous works
employ implicit differentiation and solve the exact gradient for the backward propagation …
employ implicit differentiation and solve the exact gradient for the backward propagation …
Deep equilibrium approaches to diffusion models
Diffusion-based generative models are extremely effective in generating high-quality
images, with generated samples often surpassing the quality of those produced by other …
images, with generated samples often surpassing the quality of those produced by other …
Recurrence without recurrence: Stable video landmark detection with deep equilibrium models
Cascaded computation, whereby predictions are recurrently refined over several stages, has
been a persistent theme throughout the development of landmark detection models. In this …
been a persistent theme throughout the development of landmark detection models. In this …
Path independent equilibrium models can better exploit test-time computation
Designing networks capable of attaining better performance with an increased inference
budget is important to facilitate generalization to harder problem instances. Recent efforts …
budget is important to facilitate generalization to harder problem instances. Recent efforts …
Exploiting connections between Lipschitz structures for certifiably robust deep equilibrium models
Recently, deep equilibrium models (DEQs) have drawn increasing attention from the
machine learning community. However, DEQs are much less understood in terms of certified …
machine learning community. However, DEQs are much less understood in terms of certified …
Looped transformers are better at learning learning algorithms
Transformers have demonstrated effectiveness in in-context solving data-fitting problems
from various (latent) models, as reported by Garg et al. However, the absence of an inherent …
from various (latent) models, as reported by Garg et al. However, the absence of an inherent …