4 papers
Feynman: Knowledge-Infused Diagramming Agent for Scalable Visual Designs
Zixin Wen, Yifu Cai, Kyle Lee +5
Visual design is an essential application of state-of-the-art multi-modal AI systems. Improving these systems requires high-quality vision-language data at scale. Despite the abund…
Composing Automatic Differentiation with Custom Derivatives of Higher-Order Functions
Sam Estep
Recent theoretical work on automatic differentiation (autodiff) has focused on characteristics such as correctness and efficiency while assuming that all derivatives are automatica…
A Mixed-Methods Study on the Implications of Unsafe Rust for Interoperation, Encapsulation, and Tooling
Ian McCormack, Tomas Dougan, Sam Estep +3
The Rust programming language restricts aliasing to provide static safety guarantees. However, in certain situations, developers need to bypass these guarantees by using a set of u…
Rose: Composable Autodiff for the Interactive Web
Sam Estep, Wode Ni, Raven Rothkopf +1
Reverse-mode automatic differentiation (autodiff) has been popularized by deep learning, but its ability to compute gradients is also valuable for interactive use cases such as bid…