Enoki: structured vectorization and differentiation on modern processor architectures - mitsuba-renderer/enoki ...

This is an updated version of a story first published on Nov. 1, 2024 For centuries, students have learned that in a right ...

These utility functions are ideal for demonstration as they comprise a number of different graph-based subproblems, and thus demonstrate the usefulness of our method over a wide range.

Learning embeddings for entities and relations in knowledge graph (KG) have benefited many downstream tasks. In recent years, scoring functions, the crux of KG learning, have been human designed to ...

Those neural networks need the right inductive biases so that they can reliably learn useful graph functions. With that foundation, we can build powerful neural graph systems. Here we present a "Graph ...

6.6. The Derivatives of Inverse Trigonometric Functions 149 6.7. The Derivatives of Hyperbolic Functions 150 6.8. Miscellaneous Problems on Differentiation 151 6.9. Higher-Order Derivatives 151 6.10.