Viral B. Shah

According to our database, Viral B. Shah authored at least 22 papers between 2004 and 2022.

Collaborative distances:

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

2022

Composing Modeling And Simulation With Machine Learning In Julia.

Chris Rackauckas, Maja Gwózdz, Anand Jain, Yingbo Ma, Francesco Martinuzzi, Utkarsh Rajput, Elliot Saba, Viral B. Shah, Ranjan Anantharaman, Alan Edelman, Shashi Gowda, Avik Pal, Chris Laughman

Proceedings of the Annual Modeling and Simulation Conference, 2022

2021

Omniscape.jl: Software to compute omnidirectional landscape connectivity.

Vincent A. Landau, Viral B. Shah, Ranjan Anantharaman, Kimberly R. Hall

J. Open Source Softw., 2021

ModelingToolkit: A Composable Graph Transformation System For Equation-Based Modeling.

Yingbo Ma, Shashi Gowda, Ranjan Anantharaman, Chris Laughman, Viral B. Shah, Christopher Rackauckas

CoRR, 2021

High-performance symbolic-numerics via multiple dispatch.

Shashi Gowda, Yingbo Ma, Alessandro Cheli, Maja Gwózdz, Viral B. Shah, Alan Edelman, Christopher Rackauckas

ACM Commun. Comput. Algebra, 2021

Opening the Blackbox: Accelerating Neural Differential Equations by Regularizing Internal Solver Heuristics.

Avik Pal, Yingbo Ma, Viral B. Shah, Christopher Vincent Rackauckas

Proceedings of the 38th International Conference on Machine Learning, 2021

Accelerating Simulation of Stiff Nonlinear Systems using Continuous-Time Echo State Networks.

Ranjan Anantharaman, Yingbo Ma, Shashi Gowda, Chris Laughman, Viral B. Shah, Alan Edelman, Christopher Rackauckas

Proceedings of the AAAI 2021 Spring Symposium on Combining Artificial Intelligence and Machine Learning with Physical Sciences, Stanford, CA, USA, March 22nd - to, 2021

2020

ACED: Accelerated Computational Electrochemical systems Discovery.

Rachel C. Kurchin, Eric Muckley, Lance Kavalsky, Vinay I. Hegde, Dhairya Gandhi, Xiaoyu Sun, Matthew Johnson, Alan Edelman, James E. Saal, Christopher Vincent Rackauckas, Bryce Meredig, Viral B. Shah, Venkatasubramanian Viswanathan

CoRR, 2020

Generalized Physics-Informed Learning through Language-Wide Differentiable Programming.

Christopher Rackauckas, Alan Edelman, Keno Fischer, Mike Innes, Elliot Saba, Viral B. Shah, Will Tebbutt

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.

Mike Innes, Alan Edelman, Keno Fischer, Christopher Rackauckas, Elliot Saba, Viral B. Shah, Will Tebbutt

CoRR, 2019

2018

Julia: dynamism and performance reconciled by design.

Jeff Bezanson, Jiahao Chen, Benjamin Chung, Stefan Karpinski, Viral B. Shah, Jan Vitek, Lionel Zoubritzky

Proc. ACM Program. Lang., 2018

Fashionable Modelling with Flux.

Michael Innes, Elliot Saba, Keno Fischer, Dhairya Gandhi, Marco Concetto Rudilosso, Neethu Mariya Joy, Tejan Karmali, Avik Pal, Viral B. Shah

CoRR, 2018

2017

Julia: A Fresh Approach to Numerical Computing.

Jeff Bezanson, Alan Edelman, Stefan Karpinski, Viral B. Shah

SIAM Rev., 2017

2014

Array Operators Using Multiple Dispatch: A design methodology for array implementations in dynamic languages.

Jeff Bezanson, Jiahao Chen, Stefan Karpinski, Viral B. Shah, Alan Edelman

Proceedings of the ARRAY'14: Proceedings of the 2014 ACM SIGPLAN International Workshop on Libraries, 2014

2013

Novel algebras for advanced analytics in Julia.

Viral B. Shah, Alan Edelman, Stefan Karpinski, Jeff Bezanson, Jeremy Kepner

Proceedings of the IEEE High Performance Extreme Computing Conference, 2013

2012

Julia: A Fast Dynamic Language for Technical Computing

Jeff Bezanson, Stefan Karpinski, Viral B. Shah, Alan Edelman

CoRR, 2012

2011

Some Graph Algorithms in an Array-Based Language.

Viral B. Shah, John R. Gilbert, Steve P. Reinhardt

Proceedings of the Graph Algorithms in the Language of Linear Algebra, 2011

Implementing Sparse Matrices for Graph Algorithms.

Aydin Buluç, John R. Gilbert, Viral B. Shah

Proceedings of the Graph Algorithms in the Language of Linear Algebra, 2011

2008

A Unified Framework for Numerical and Combinatorial Computing.

John R. Gilbert, Steven P. Reinhardt, Viral B. Shah

Comput. Sci. Eng., 2008

Distributed Sparse Matrices for Very High Level Languages.

John R. Gilbert, Steven P. Reinhardt, Viral B. Shah

Adv. Comput., 2008

2007

An Interactive Environment to Manipulate Large Graphs.

John R. Gilbert, Viral B. Shah, Steven P. Reinhardt

Proceedings of the IEEE International Conference on Acoustics, 2007

2006

High-Performance Graph Algorithms from Parallel Sparse Matrices.

John R. Gilbert, Steven P. Reinhardt, Viral B. Shah

Proceedings of the Applied Parallel Computing. State of the Art in Scientific Computing, 2006

2004

Sparse Matrices in Matlab*P: Design and Implementation.

Viral B. Shah, John R. Gilbert

Proceedings of the High Performance Computing, 2004