Flux: Elegant machine learning with Julia. - Mike Innes (J. Open Source Softw., 2018)

DiffEqFlux.jl - A Julia Library for Neural Differential Equations. - Christopher Rackauckas; Mike Innes; Yingbo Ma; Jesse Bettencourt; Lyndon White; Vaibhav Dixit (CoRR, 2019)

A Differentiable Programming System to Bridge Machine Learning and Scientific Computing. - Mike Innes; Alan Edelman; Keno Fischer; Christopher Rackauckas; Elliot Saba; Viral B. Shah; Will Tebbutt (CoRR, 2019)

Generalized Physics-Informed Learning through Language-Wide Differentiable Programming. - Christopher Rackauckas; Alan Edelman; Keno Fischer; Mike Innes; Elliot Saba; Viral B. Shah; Will Tebbutt (AAAI Spring Symposium: MLPS, 2020)

Sense & Sensitivities: The Path to General-Purpose Algorithmic Differentiation. - Mike Innes (MLSys, 2020)

WordTokenizers.jl: Basic tools for tokenizing natural language in Julia. - Ayush Kaushal; Lyndon White; Mike Innes; Rohit Kumar (J. Open Source Softw., 2020)