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Kotlin∇: Shape-safe Symbolic Differentiation for Kotlin

Authors: Considine, Breandan;

Kotlin∇: Shape-safe Symbolic Differentiation for Kotlin

Abstract

Kotlin∇ is a framework for type-safe automatic differentiation in Kotlin. It allows users to express differentiable programs with higher-dimensional data structures and operators. We attempt to restrict syntactically valid constructions to those which are algebraically valid and can be checked at compile-time. By enforcing these constraints in the type system, it eliminates certain classes of runtime errors that may occur during the execution of a differentiable program. Due to type-inference in the language, most types may be safely omitted by the end user. Kotlin∇ strives to be expressive, safe, and notationally similar to mathematics. It is currently pre-release and offers no stability guarantees at this time.

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Keywords

automatic differentiation, differentiable programming, domain specific language

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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