Vaibhav Dixit

According to our database, Vaibhav Dixit authored at least 8 papers between 2016 and 2025.

Collaborative distances:

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

2025

Scientific Machine Learning of Chaotic Systems Discovers Governing Equations for Neural Populations.

Anthony G. Chesebro, David Hofmann, Vaibhav Dixit, Earl K. Miller, Richard H. Granger, Alan Edelman, Christopher Vincent Rackauckas, Lilianne R. Mujica-Parodi, Helmut H. Strey

CoRR, July, 2025

Finding the Inverse of some Shift Invariant Transformations.

Fukang Liu, Vaibhav Dixit, Santanu Sarkar, Willi Meier, Takanori Isobe

IACR Cryptol. ePrint Arch., 2025

2024

Disciplined Geodesically Convex Programming.

Andrew Cheng, Vaibhav Dixit, Melanie Weber

CoRR, 2024

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

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