189 citations · 582 across the 33 of their papers we have counts for
3 papers · 1 filter
Tricks from Deep Learning
Atılım Güneş Baydin, Barak A. Pearlmutter, Jeffrey Mark Siskind
The deep learning community has devised a diverse set of methods to make gradient optimization, using large datasets, of large and highly complex models with deeply cascaded nonlin…
DiffSharp: An AD Library for .NET Languages
Atılım Güneş Baydin, Barak A. Pearlmutter, Jeffrey Mark Siskind
DiffSharp is an algorithmic differentiation or automatic differentiation (AD) library for the .NET ecosystem, which is targeted by the C# and F# languages, among others. The librar…
Inference Compilation and Universal Probabilistic Programming
Tuan Anh Le, Atilim Gunes Baydin, Frank Wood
We introduce a method for using deep neural networks to amortize the cost of inference in models from the family induced by universal probabilistic programming languages, establish…