Innes, Mike

1. A Differentiable Programming System to Bridge Machine Learning and Scientific Computing
   2019/07/17 by Mike Innes, Alan Edelman, Innes, Mike +12 · 2 voices · 13 citations
   Computer Science · #Neural Networks and Applications
2. A Comparison of Automatic Differentiation and Continuous Sensitivity Analysis for Derivatives of Differential Equation Solutions
   2018/12/05 by Yingbo Ma, Ma, Yingbo, Vaibhav Dixit +7 · 2 citations
   Computer Science · Physics and Astronomy · #FOS: Mathematics #Machine Learning and ELM #Matrix Theory and Algorithms #Model Reduction and Neural Networks #Numerical Analysis (math.NA)
3. DiffEqFlux.jl - A Julia Library for Neural Differential Equations
   2019/02/06 by Rackauckas, Chris, Innes, Mike, Ma, Yingbo +3 · 2 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)