Mike Innes

Orcid: 0000-0003-0788-0242

According to our database1, Mike Innes authored at least 7 papers between 2018 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2020
WordTokenizers.jl: Basic tools for tokenizing natural language in Julia.
J. Open Source Softw., 2020

Sense & Sensitivities: The Path to General-Purpose Algorithmic Differentiation.
Proceedings of the Third Conference on Machine Learning and Systems, 2020

Generalized Physics-Informed Learning through Language-Wide Differentiable Programming.
Proceedings of the AAAI 2020 Spring Symposium on Combining Artificial Intelligence and Machine Learning with Physical Sciences, Stanford, CA, USA, March 23rd - to, 2020

2019
A Differentiable Programming System to Bridge Machine Learning and Scientific Computing.
CoRR, 2019

DiffEqFlux.jl - A Julia Library for Neural Differential Equations.
CoRR, 2019

2018
Flux: Elegant machine learning with Julia.
J. Open Source Softw., 2018

A Comparison of Automatic Differentiation and Continuous Sensitivity Analysis for Derivatives of Differential Equation Solutions.
CoRR, 2018


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