Viral B. Shah

Publication Activity (10 Years)

Years Active: 2004-2022
Publications (10 Years): 16

Top Topics

Design Methodology

Nonlinear Systems

Machine Learning

Difference Equations

Top Venues

AAAI Spring Symposium: MLPS

Proc. ACM Program. Lang.

Publications

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
Composing Modeling And Simulation With Machine Learning In Julia. ANNSIM (2022)
Shashi Gowda, Yingbo Ma, Alessandro Cheli, Maja Gwózzdz, Viral B. Shah, Alan Edelman, Christopher Rackauckas
High-performance symbolic-numerics via multiple dispatch. ACM Commun. Comput. Algebra 55 (3) (2021)
Yingbo Ma, Shashi Gowda, Ranjan Anantharaman, Chris Laughman, Viral B. Shah, Christopher Rackauckas
ModelingToolkit: A Composable Graph Transformation System For Equation-Based Modeling. CoRR (2021)
Ranjan Anantharaman, Yingbo Ma, Shashi Gowda, Chris Laughman, Viral B. Shah, Alan Edelman, Christopher Rackauckas
Accelerating Simulation of Stiff Nonlinear Systems using Continuous-Time Echo State Networks. AAAI Spring Symposium: MLPS (2021)
Avik Pal, Yingbo Ma, Viral B. Shah, Christopher Rackauckas
Opening the Blackbox: Accelerating Neural Differential Equations by Regularizing Internal Solver Heuristics. CoRR (2021)
Shashi Gowda, Yingbo Ma, Alessandro Cheli, Maja Gwózdz, Viral B. Shah, Alan Edelman, Christopher Rackauckas
High-performance symbolic-numerics via multiple dispatch. CoRR (2021)
Christopher Rackauckas, Ranjan Anantharaman, Alan Edelman, Shashi Gowda, Maja Gwózdz, Anand Jain, Chris Laughman, Yingbo Ma, Francesco Martinuzzi, Avik Pal, Utkarsh Rajput, Elliot Saba, Viral B. Shah
Composing Modeling and Simulation with Machine Learning in Julia. CoRR (2021)
Vincent A. Landau, Viral B. Shah, Ranjan Anantharaman, Kimberly R. Hall
Omniscape.jl: Software to compute omnidirectional landscape connectivity. J. Open Source Softw. 6 (57) (2021)
Avik Pal, Yingbo Ma, Viral B. Shah, Christopher Vincent Rackauckas
Opening the Blackbox: Accelerating Neural Differential Equations by Regularizing Internal Solver Heuristics. ICML (2021)
Rachel C. Kurchin, Eric Muckley, Lance Kavalsky, Vinay Hegde, Dhairya Gandhi, Xiaoyu Sun, Matthew Johnson, Alan Edelman, James Saal, Christopher Vincent Rackauckas, Bryce Meredig, Viral B. Shah, Venkatasubramanian Viswanathan
ACED: Accelerated Computational Electrochemical systems Discovery. CoRR (2020)
Christopher Rackauckas, Alan Edelman, Keno Fischer, Mike Innes, Elliot Saba, Viral B. Shah, Will Tebbutt
Generalized Physics-Informed Learning through Language-Wide Differentiable Programming. AAAI Spring Symposium: MLPS (2020)
Ranjan Anantharaman, Yingbo Ma, Shashi Gowda, Chris Laughman, Viral B. Shah, Alan Edelman, Christopher Rackauckas
Accelerating Simulation of Stiff Nonlinear Systems using Continuous-Time Echo State Networks. CoRR (2020)
Mike Innes, Alan Edelman, Keno Fischer, Christopher Rackauckas, Elliot Saba, Viral B. Shah, Will Tebbutt
A Differentiable Programming System to Bridge Machine Learning and Scientific Computing. CoRR (2019)
Jeff Bezanson, Jiahao Chen, Benjamin Chung, Stefan Karpinski, Viral B. Shah, Jan Vitek, Lionel Zoubritzky
Julia: dynamism and performance reconciled by design. Proc. ACM Program. Lang. 2 (OOPSLA) (2018)
Michael Innes, Elliot Saba, Keno Fischer, Dhairya Gandhi, Marco Concetto Rudilosso, Neethu Mariya Joy, Tejan Karmali, Avik Pal, Viral B. Shah
Fashionable Modelling with Flux. CoRR (2018)
Jeff Bezanson, Alan Edelman, Stefan Karpinski, Viral B. Shah
Julia: A Fresh Approach to Numerical Computing. SIAM Rev. 59 (1) (2017)
Jeff Bezanson, Jiahao Chen, Stefan Karpinski, Viral B. Shah, Alan Edelman
Array operators using multiple dispatch: a design methodology for array implementations in dynamic languages. CoRR (2014)
Jeff Bezanson, Jiahao Chen, Stefan Karpinski, Viral B. Shah, Alan Edelman
Array Operators Using Multiple Dispatch: A design methodology for array implementations in dynamic languages. ARRAY@PLDI (2014)
Jeff Bezanson, Alan Edelman, Stefan Karpinski, Viral B. Shah
Julia: A Fresh Approach to Numerical Computing. CoRR (2014)
Viral B. Shah, Alan Edelman, Stefan Karpinski, Jeff Bezanson, Jeremy Kepner
Novel algebras for advanced analytics in Julia. HPEC (2013)
Jeff Bezanson, Stefan Karpinski, Viral B. Shah, Alan Edelman
Julia: A Fast Dynamic Language for Technical Computing CoRR (2012)
John R. Gilbert, Steven P. Reinhardt, Viral B. Shah
A Unified Framework for Numerical and Combinatorial Computing. Comput. Sci. Eng. 10 (2) (2008)
John R. Gilbert, Steven P. Reinhardt, Viral B. Shah
Distributed Sparse Matrices for Very High Level Languages. Adv. Comput. 72 (2008)
John R. Gilbert, Viral B. Shah, Steven P. Reinhardt
An Interactive Environment to Manipulate Large Graphs. ICASSP (4) (2007)
John R. Gilbert, Steven P. Reinhardt, Viral B. Shah
High-Performance Graph Algorithms from Parallel Sparse Matrices. PARA (2006)
Viral B. Shah, John R. Gilbert
Sparse Matrices in Matlab*P: Design and Implementation. HiPC (2004)