Abstract: Recently, the single image super-resolution based on implicit image function is a hot topic, which learns a universal model for arbitrary upsampling scales. By contrast, color-guided depth ...

Department of Chemical and Biomolecular Engineering, University of California, Berkeley, California 94720, United States ...

ABSTRACT: In this paper, the dynamical behaviors of a modified Leslie-Gower predator-prey model incorporating fear effect and prey refuge are investigated. We delve into the construction of the model ...

Integrating human values after model training using Learning-based algorithms requires fine-tuning LLMs, which requires more computational power and is time-consuming. Additionally, it generates ...

ABSTRACT: In this paper, the well known implicit function theorem was applied to study existence and uniqueness of periodic solution of Duffing-type equation. Un-der appropriate conditions around the ...

Abstract: In this note, we discuss a generalization of the well-known implicit function theorem to the time-delay case. We show that the latter problem is closely related to the bicausal changes of ...

We introduce two new language features, called implicit functions and implicit control. Both generalize implicit values (or parameters) which are a typed implementation of dynamic binding. Implicit ...

"By treating the solution $\\phi^{\\star}$ as an implicit function of $\\theta$, the idea of implicit differentiation is to directly get analytical best-response derivatives $\\partial \\phi^{\\star}( ...