Vaibhav Dixit

According to our database, Vaibhav Dixit authored at least 6 papers between 2016 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

GlobalSensitivity.jl: Performant and Parallel Global Sensitivity Analysis with Julia.

Vaibhav Dixit, Christopher Rackauckas

J. Open Source Softw., 2022

2021

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

Yingbo Ma, Vaibhav Dixit, Michael J. Innes, Xingjian Guo, Christopher Rackauckas

Proceedings of the 2021 IEEE High Performance Extreme Computing Conference, 2021

2020

Bayesian Neural Ordinary Differential Equations.

Raj Dandekar, Vaibhav Dixit, Mohamed Tarek, Aslan Garcia-Valadez, Christopher Rackauckas

CoRR, 2020

2019

DiffEqFlux.jl - A Julia Library for Neural Differential Equations.

Christopher Rackauckas, Mike Innes, Yingbo Ma, Jesse Bettencourt, Lyndon White, Vaibhav Dixit

CoRR, 2019

2018

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

Christopher Rackauckas, Yingbo Ma, Vaibhav Dixit, Xingjian Guo, Mike Innes, Jarrett Revels, Joakim Nyberg, Vijay Ivaturi

CoRR, 2018

2016

State of the Union: A Data Consumer's Perspective on Wikidata and Its Properties for the Classification and Resolution of Entities.

Andreas Spitz, Vaibhav Dixit, Ludwig Richter, Michael Gertz, Johanna Geiß

Proceedings of the Wiki, 2016