Mike Innes

Publication Activity (10 Years)

Years Active: 2018-2020
Publications (10 Years): 7

Top Topics

Numerical Solution

Differential Equations

Scientific Computing

Sensitivity Analysis

Top Venues

J. Open Source Softw.

AAAI Spring Symposium: MLPS

Publications

Mike Innes
Sense & Sensitivities: The Path to General-Purpose Algorithmic Differentiation. MLSys (2020)
Christopher Rackauckas, Alan Edelman, Keno Fischer, Mike Innes, Elliot Saba, Viral B. Shah, Will Tebbutt
Generalized Physics-Informed Learning through Language-Wide Differentiable Programming. AAAI Spring Symposium: MLPS (2020)
Ayush Kaushal, Lyndon White, Mike Innes, Rohit Kumar
WordTokenizers.jl: Basic tools for tokenizing natural language in Julia. J. Open Source Softw. 5 (46) (2020)
Mike Innes, Alan Edelman, Keno Fischer, Christopher Rackauckas, Elliot Saba, Viral B. Shah, Will Tebbutt
A Differentiable Programming System to Bridge Machine Learning and Scientific Computing. CoRR (2019)
Christopher Rackauckas, Mike Innes, Yingbo Ma, Jesse Bettencourt, Lyndon White, Vaibhav Dixit
DiffEqFlux.jl - A Julia Library for Neural Differential Equations. CoRR (2019)
Mike Innes
Flux: Elegant machine learning with Julia. J. Open Source Softw. 3 (25) (2018)
Christopher Rackauckas, Yingbo Ma, Vaibhav Dixit, Xingjian Guo, Mike Innes, Jarrett Revels, Joakim Nyberg, Vijay Ivaturi
A Comparison of Automatic Differentiation and Continuous Sensitivity Analysis for Derivatives of Differential Equation Solutions. CoRR (2018)