JULIA IN THE NEWS
A differentiable, physics-informed ecosystem modeling and learning framework for large-scale inverse problems: demonstration with photosynthesis simulations
Analytics Insight | July 2023 | Doaa Aboelyazeed, Chonggang Xu, Forrest M. Hoffman, Jiangtao Liu, Alex W. Jones, Chris Rackauckas, Kathryn Lawson, Chaopeng Shen
JULIA IN THE NEWS
Forecasting Virus Outbreaks with Social Media Data Via Neural Ordinary Differential Equations
Analytics Insight | July 2023 | Matías Núñez, Nadia L. Barreiro, Rafael A. Barrio & Christopher Rackauckas
JULIA IN THE NEWS
Mapping out phase diagrams with generative classifiers
Analytics Insight | June 2023 | Julian Arnold, Frank Sch¨afer, Alan Edelman, Christoph Bruder
JULIA IN THE NEWS
Extending JumpProcess.jl for Fast Point Process Simulation with Time-Varying Intensities
Analytics Insight | June 2023 | Guilherme Augusto Zagatti, Samuel A Isaacson, Christopher Rackauckas, Vasily Ilin, See-Kiong Ng, Stéphane Bressan
JULIA IN THE NEWS
Differentiating Metropolis-Hastings to Optimize Intractable Densities
Analytics Insight | June 2023 | Gaurav Arya, Ruben Seyer, Frank Schäfer, Alex Lew, Mathieu Huot, Vikash K. Mansinghka, Chris Rackauckas, Kartik Chandra, Moritz Schauer
JULIA IN THE NEWS
Modular Algorithms for Scientific Computing in Julia
Analytics Insight | April 2023 | Christopher Rackauckas
JULIA IN THE NEWS
Neural Jump SDEs (Jump Diffusions) and Neural PDEs
Analytics Insight | April 2023 | Christopher Rackauckas
JULIA IN THE NEWS
Finalizing Your Julia Package: Documentation, Testing, Coverage, and Publishing
Analytics Insight | April 2023 | Christopher Rackauckas
JULIA IN THE NEWS
How Inexact Models Can Guide Decision Making in Quantitative Systems Pharmacology
Analytics Insight | April 2023 | Christopher Rackauckas
JULIA IN THE NEWS
7 Julia Gotchas and How to Handle Them
Analytics Insight | April 2023 | Christopher Rackauckas
JULIA IN THE NEWS
Type-Dispatch Design: Post Object-Oriented Programming for Julia
Analytics Insight | April 2023 | Christopher Rackauckas
JULIA IN THE NEWS
GPU-Accelerated ODE Solving in R with Julia, the Language of Libraries
Analytics Insight | April 2023 | Christopher Rackauckas
JULIA IN THE NEWS
Optimal Number of Workers for Parallel Julia
Analytics Insight | April 2023 | Christopher Rackauckas
JULIA IN THE NEWS
Algorithm efficiency comes from problem information
Analytics Insight | April 2023 | Christopher Rackauckas
JULIA IN THE NEWS
Performance Bounds for Quantum Control
Analytics Insight | April 2023 | Flemming Holtorf, Frank Schäfer, Julian Arnold, Christopher Rackauckas, Alan Edelman
JULIA IN THE NEWS
The Essential Tools of Scientific Machine Learning (Scientific ML),https://d197for5662m48.cloudfront.net/documents/publicationstatus/136038/preprint_pdf/f25f4608d27fc435ad877ed2f08859bf.pdf
Analytics Insight | | April 2023
JULIA IN THE NEWS
Generalizing Automatic Differentiation to Automatic Sparsity, Uncertainty, Stability, and Parallelism
Analytics Insight | April 2023 | Christopher Rackauckas
JULIA IN THE NEWS
ModelingToolkit, Modelica, and Modia: The Composable Modeling Future in Julia
Analytics Insight | April 2023 | Christopher Rackauckas
JULIA IN THE NEWS
A Comparison Between Differential Equation Solver Suites In MATLAB, R, Julia, Python, C, Mathematica, Maple, and Fortran
Analytics Insight | April 2023 | Christopher Rackauckas
JULIA IN THE NEWS
I Like Julia Because It Scales and Is Productive: Some Insights From A Julia Developer
Analytics Insight | April 2023 | Christopher Rackauckas
JULIA IN THE NEWS
Automated Translation and Accelerated Solving of Differential Equations on Multiple GPU Platforms
Analytics Insight | April 2023 | Utkarsh Utkarsh, Valentin Churavy, Yingbo Ma, Tim Besard, Tim Gymnich, Adam R. Gerlach, Alan Edelman, Christopher Rackauckas
JULIA IN THE NEWS
Efficient hybrid modeling and sorption model discovery for non-linear advection-diffusion-sorption systems: A systematic scientific machine learning approach
Analytics Insight | April 2023 | Vinicius Viena Santana, Erbet Costa, Carine de Menezes Rebello, Ana Mafalda Ribeiro, Chris Rackauckas, Idelfonso B.R. Nogueira
JULIA IN THE NEWS
Automated Translation and Accelerated Solving of Differential Equations on Multiple GPU Platforms
Analytics Insight | April 2023 | Utkarsh Utkarsh, Valentin Churavy, Yingbo Ma, Tim Besard, Tim Gymnich, Adam R. Gerlach, Alan Edelman, Christopher Rackauckas
JULIA IN THE NEWS
Julia for Biologists
Analytics Insight | April 2023 | Elisabeth Roesch, Joe G. Greener, Adam L. MacLean, Huda Nassar, Christopher Rackauckas, Timothy E. Holy & Michael P. H. Stumpf
JULIA IN THE NEWS
A Practitioner's Guide to Bayesian Inference in Pharmacometrics using Pumas
Analytics Insight | March 2023 | Mohamed Tarek, Jose Storopoli, Casey Davis, Chris Elrod, Julius Krumbiegel, Chris Rackauckas, Vijay Ivaturi
JULIA IN THE NEWS
A differentiable, physics-informed ecosystem modeling and learning framework for large-scale inverse problems: demonstration with photosynthesis simulations
Analytics Insight | March 2023 | Doaa Aboelyazeed, Chonggang Xu, Forrest M. Hoffman, Jiangtao Liu, Alex W. Jones, Chris Rackauckas, Kathryn Lawson, Chaopeng Shen
JULIA IN THE NEWS
Some New Results on the Maximum Growth Factor in Gaussian Elimination
Analytics Insight | March 2023 | Alan Edelman, John Urschel
JULIA IN THE NEWS
Locally Regularized Neural Differential Equations: Some Black Boxes Were Meant to Remain Closed!
Analytics Insight | March 2023 | Avik Pal, Alan Edelman, Chris Rackauckas
JULIA IN THE NEWS
BACKpropagation through BACK substitution with a BACKslash
Analytics Insight | February 2023 | Alan Edelman, Ekin Akyurek, Yuyang Wang
JULIA IN THE NEWS
Stably Accelerating Stiff Quantitative Systems Pharmacology Models: Continuous-Time Echo State Networks as Implicit Machine Learning
Analytics Insight | February 2023 | Ranjan Anantharaman, Anas Abdelrehim, Anand Jain, Avik Pal, Danny Sharp, Utkarsh, Alan Edelman, Chris Rackauckas
JULIA IN THE NEWS
Differentiable Modeling to Unify Machine Learning and Physical Models and Advance Geosciences
Analytics Insight | January 2023 | Chaopeng Shen, Alison P. Appling, Pierre Gentine, Toshiyuki Bandai, Hoshin Gupta, Alexandre Tartakovsky, Marco Baity-Jesi, Fabrizio Fenicia, Daniel Kifer, Li Li, Xiaofeng Liu, Wei Ren, Yi Zheng, Ciaran J. Harman, Martyn Clark, Matthew Farthing, Dapeng Feng, Praveen Kumar, Doaa Aboelyazeed, Farshid Rahmani, Hylke E. Beck, Tadd Bindas, Dipankar Dwivedi, Kuai Fang, Marvin Höge, Chris Rackauckas, Tirthankar Roy, Chonggang Xu, Kathryn Lawson
JULIA IN THE NEWS
AutoMat: Automated Materials Discovery for Electrochemical Systems
Analytics Insight | December 2022 | Emil Annevelink, Rachel Kurchin, Eric Muckley, Lance Kavalsky, Vinay I. Hegde, Valentin Sulzer, Shang Zhu, Jiankun Pu, David Farina, Matthew Johnson, Dhairya Gandhi, Adarsh Dave, Hongyi Lin, Alan Edelman, Bharath Ramsundar, James Saal, Christopher Rackauckas, Viral Shah, Bryce Meredig & Venkatasubramanian Viswanathan
JULIA IN THE NEWS
Continuous-Time Echo State Networks for Predicting Power System Dynamics
Analytics Insight | November 2022 | Ciaran Roberts, José Daniel Lara, Rodrigo Henriquez-Auba, Matthew Bossart, Ranjan Anantharaman, Chris Rackauckas, Bri-Mathias Hodge, Duncan S. Callaway
JULIA IN THE NEWS
A Differentiable Ecosystem Modeling Framework for Large-scale Inverse Problems: Demonstration with Photosynthesis Simulations
Analytics Insight | November 2022 | Doaa Aboelyazeed, Chonggang Xu, Forrest M. Hoffman, Alex W. Jones, Chris Rackauckas, Kathryn E. Lawson, and Chaopeng Shen
JULIA IN THE NEWS
Stochastic Optimal Control via Local Occupation Measures
Analytics Insight | November 2022 | Flemming Holtorf, Christopher Rackauckas
JULIA IN THE NEWS
Model-Form Epistemic Uncertainty Quantification for Modeling with Differential Equations: Application to Epidemiology.
Analytics Insight | October 2022 | Erin Acquesta, Teresa Portone, Raj Dandekar, Chris Rackauckas, Rileigh Bandy, Jose Huerta, Dytzel, India
JULIA IN THE NEWS
Capturing Missing Physics in Climate Model Parameterizations Using Neural Differential Equations
Analytics Insight | October 2022 | Ali Ramadhan, John C Marshall, Andre Nogueira Souza, Xin Kai Lee, Ulyana Piterbarg, Adeline Hillier, Gregory LeClaire Wagner, Christopher Rackauckas, Chris Hill, Jean-Michel Campin, Raffaele Ferrari
JULIA IN THE NEWS
Automatic Differentiation of Programs with Discrete Randomness
Analytics Insight | October 2022 | Gaurav Arya, Moritz Schauer, Frank Schäfer, Chris Rackauckas
JULIA IN THE NEWS
Constrained Smoothers for State Estimation of Vapor Compression Cycles
Analytics Insight | September 2022 | Vedang M. Deshpande, Christopher R. Laughman, Yingbo Ma, Chris Rackauckas
JULIA IN THE NEWS
DelayDiffEq: Generating Delay Differential Equation Solvers via Recursive Embedding of Ordinary Differential Equation Solvers
Analytics Insight | August 2022 | David Widmann, Chris Rackauckas
JULIA IN THE NEWS
GlobalSensitivity.jl: Performant and Parallel Global Sensitivity Analysis with Julia
Analytics Insight | August 2022 | Vaibhav Kumar Dixit, Christopher Rackauckas
JULIA IN THE NEWS
Catalyst: Fast Biochemical Modeling with Julia
Analytics Insight | August 2022 | Torkel E. Loman, Yingbo Ma, Vasily Ilin, Shashi Gowda, Niklas Korsbo, Nikhil Yewale, Chris Rackauckas, Samuel A. Isaacson
JULIA IN THE NEWS
Parallelizing Explicit and Implicit Extrapolation Methods for Ordinary Differential Equations
Analytics Insight | July 2022 | Utkarsh, Chris Elrod, Yingbo Ma, Christopher Rackauckas
JULIA IN THE NEWS
Differential Methods for Assessing Sensitivity in Biological Models
Analytics Insight | June 2022 | Rachel Mester, Alfonso Landeros, Chris Rackauckas, Kenneth Lange
JULIA IN THE NEWS
Plots.jl -- A User Extendable Plotting API for the Julia Programming Language
Analytics Insight | April 2022 | Simon Christ, Daniel Schwabeneder, Christopher Rackauckas
JULIA IN THE NEWS
ReservoirComputing.jl: An Efficient and Modular Library for Reservoir Computing Models
Analytics Insight | April 2022 | Francesco Martinuzzi, Chris Rackauckas, Anas Abdelrehim, Miguel D. Mahecha, Karin Mora
JULIA IN THE NEWS
Accelerating Advances in Landscape Connectivity Modeling with the ConScape Library
Analytics Insight | April 2022 | Bram Van Moorter, Ilkka Kivimäki, Andreas Noack, Robin Devooght, Manuela Panzacchi, Kimberly R. Hall, Pierre Leleux, Marco Saerens
JULIA IN THE NEWS
Mixing Implicit and Explicit Deep Learning with Skip DEQs and Infinite Time Neural ODEs (Continuous DEQs)
Analytics Insight | February 2022 | Avik Pal, Alan Edelman, Christopher Rackauckas
JULIA IN THE NEWS
Symbolic-Numeric Integration of Univariate Expressions Based on Sparse Regression
Analytics Insight | February 2022 | Shahriar Iravanian, Carl Julius Martensen, Alessandro Cheli, Shashi Gowda, Anand Jain, Yingbo Ma, Chris Rackauckas
JULIA IN THE NEWS
Two Heads Are Better Than One: Current Landscape of Integrating QSP and Machine Learning
Analytics Insight | February 2022 | Tongli Zhang, Ioannis P. Androulakis, Peter Bonate, Limei Cheng, Tomáš Helikar, Jaimit Parikh, Christopher Rackauckas, Kalyanasundaram Subramanian & Carolyn R. Cho
JULIA IN THE NEWS
Composable and Reusable Neural Surrogates to Predict System Response of Causal Model Components
Analytics Insight | January 2022 | Ranjan Anantharaman, Anas Abdelrehim, Francesco Martinuzzi, Sharan Yalburgi, Elliot Saba, Keno Fischer, Glen Hertz, Pepijn de Vos, Chris Laughman, Yingbo Ma, Viral Shah, Alan Edelman, Chris Rackauckas
JULIA IN THE NEWS
Automated Code Optimization with E-Graphs
Analytics Insight | December 2021 | Alessandro Cheli, Christopher Rackauckas
JULIA IN THE NEWS
Differentiable State Space Models and Hamiltonian Monte Carlo Estimation
Analytics Insight | December 2021 | David Childers, Jesus Fernandez-Villaverde, Jesse Perla, Cameron Pfiffer, Christopher Rackauckas, Peifan Wu
JULIA IN THE NEWS
A Comparison of Automatic Differentiation and Continuous Sensitivity Analysis for Derivatives of Differential Equation Solutions
Analytics Insight | December 2021 | Yingbo Ma, Vaibhav Dixit, Michael J Innes, Xingjian Guo, Chris Rackauckas
JULIA IN THE NEWS
Data-Efficient Training with Physics-Enhanced Deep Surrogates
Analytics Insight | November 2021 | Raphael Pestourie, Youssef Mroueh, Chris Rackauckas, Payel Das, Steven G. Johnson
JULIA IN THE NEWS
Platooning for Improved Safety and Efficiency of Semi-Trucks (PISES–III)
Analytics Insight | November 2021 | Venkatasubramanian Viswanathan, Varun Shankar, Gavin D Portwood, Arvind T Mohan, Peetak P Mitra, Dilip Krishnamurthy, Christopher Rackauckas, Lucas A Wilson, David P Schmidt
JULIA IN THE NEWS
Generalized Physics-Informed Learning Through Language-Wide Differentiable Programming
Analytics Insight | November 2021 | Christopher Rackauckas, Alan Edelman, Keno Fischer, Mike Innes, Elliot Saba, Viral B Shah, Will Tebbutt
JULIA IN THE NEWS
Physics-Enhanced Deep Surrogates for PDEs
Analytics Insight | November 2021 | Raphaël Pestourie, Youssef Mroueh, Chris Rackauckas, Payel Das, Steven G. Johnson
JULIA IN THE NEWS
Differential Methods for Assessing Sensitivity in Biological Models
Analytics Insight | November 2021 | Mester R, Landeros A, Rackauckas C, Lange K
JULIA IN THE NEWS
Stably Accelerating Stiff Quantitative Systems Pharmacology Models: Continuous-Time Echo State Networks as Implicit Machine Learning
Analytics Insight | October 2021 | Ranjan Anantharaman, Anas Abdelrehim, Anand Jain, Avik Pal, Danny Sharp, Utkarsh Utkarsh, Christopher Vincent Rackauckas
JULIA IN THE NEWS
Validation and Parameterization of a Novel Physics-Constrained Neural Dynamics Model Applied to Turbulent Fluid Flow
Analytics Insight | October 2021 | Varun Shankar, Gavin D. Portwood, Arvind T. Mohan, Peetak P. Mitra, Dilip Krishnamurthy, Christopher Rackauckas, Lucas A. Wilson, David P. Schmidt, and Venkatasubramanian Viswanathan
JULIA IN THE NEWS
Hybrid Mechanistic + Neural Model of Laboratory Helicopter
Analytics Insight | September 2021 | Christopher Rackauckas, Roshan Sharma, Bernt Lie
JULIA IN THE NEWS
Julia for Biologists
Analytics Insight | September 2021 | Elisabeth Roesch, Joe G Greener, Adam L MacLean, Huda Nassar, Christopher Rackauckas, Timothy E Holy, Michael PH Stumpf
JULIA IN THE NEWS
AbstractDifferentiation. jl: Backend-Agnostic Differentiable Programming in Julia
Analytics Insight | September 2021 | Frank Schäfer, Mohamed Tarek, Lyndon White, Chris Rackauckas
JULIA IN THE NEWS
Collocation Based Training of Neural Ordinary Differential Equations
Analytics Insight | July 2021 | Elisabeth Roesch, Christopher Rackauckas, Michael PH Stumpf
JULIA IN THE NEWS
NeuralPDE: Automating Physics-Informed Neural Networks (PINNs) with Error Approximations
Analytics Insight | July 2021 | Kirill Zubov, Zoe McCarthy, Yingbo Ma, Francesco Calisto, Valerio Pagliarino, Simone Azeglio, Luca Bottero, Emmanuel Luján, Valentin Sulzer, Ashutosh Bharambe, Nand Vinchhi, Kaushik Balakrishnan, Devesh Upadhyay, Chris Rackauckas
JULIA IN THE NEWS
A Campus Simulation Model Supporting the Safe Blues Experiment
Analytics Insight | May 2021 | Thomas Graham, Azam Asanjarani, Shane G. Henderson, Yoni Nazarathy, Keng Chew, Marijn Jansen, Christopher Rackauckas, Kirsty Short, Peter G Taylor, Aapeli Vuorinen, Ilze Ziedins
JULIA IN THE NEWS
High-Performance Symbolic-Numerics via Multiple Dispatch
Analytics Insight | May 2021 | Shashi Gowda, Yingbo Ma, Alessandro Cheli, Maja Gwozdz, Viral B. Shah, Alan Edelman, Christopher Rackauckas
JULIA IN THE NEWS
Opening the Blackbox: Accelerating Neural Differential Equations by Regularizing Internal Solver Heuristics
Analytics Insight | May 2021 | Avik Pal, Yingbo Ma, Viral Shah, Christopher Rackauckas
JULIA IN THE NEWS
Composing Modeling and Simulation with Machine Learning in Julia
Analytics Insight | May 2021 | Chris Rackauckas, Ranjan Anantharaman, Alan Edelman, Shashi Gowda, Maja Gwozdz, Anand Jain, Chris Laughman, Yingbo Ma, Francesco Martinuzzi, Avik Pal, Utkarsh Rajput, Elliot Saba, Viral B. Shah
JULIA IN THE NEWS
Accelerating Simulation of Stiff Nonlinear Systems Using Continuous-Time Echo State Networks
Analytics Insight | March 2021 | Ranjan Anantharaman, Yingbo Ma, Shashi Gowda, Chris Laughman, Viral Shah, Alan Edelman, Chris Rackauckas
JULIA IN THE NEWS
ModelingToolkit: A Composable Graph Transformation System For Equation-Based Modeling
Analytics Insight | March 2021 | Yingbo Ma, Shashi Gowda, Ranjan Anantharaman, Chris Laughman, Viral Shah, Chris Rackauckas
JULIA IN THE NEWS
Stiff Neural Ordinary Differential Equations
Analytics Insight | March 2021 | Suyong Kim, Weiqi Ji, Sili Deng, Christopher Rackauckas
JULIA IN THE NEWS
Circuitscape in Julia: Empowering Dynamic Approaches to Connectivity Assessment
Analytics Insight | March 2021 | Kimberly R. Hall, Ranjan Anantharaman, Vincent A. Landau, Melissa Clark, Brett G. Dickson, Aaron Jones, Jim Platt, Alan Edelman and Viral B. Shah
JULIA IN THE NEWS
Safe Blues: The Case for Virtual Safe Virus Spread in the Long-Term Fight Against Epidemics
Analytics Insight | March 2021 | Raj Dandekar, Shane G. Henderson, Hermanus M. Jansen, Joshua McDonald, Sarat Moka, Yoni Nazarathy, Christopher Rackauckas, Peter G. Taylor, Aapeli Vuorinen
JULIA IN THE NEWS
Forecasting Virus Outbreaks With Social Media Data via Neural Ordinary Differential Equations
Analytics Insight | January 2021 | Matías Núñez, Nadia L. Barreiro, Rafael A. Barrio, Christopher Rackauckas
JULIA IN THE NEWS
Efficient Precision Dosing Under Estimated Uncertainties via Koopman Expectations of Bayesian Posteriors with Pumas
Analytics Insight | January 2021 | Chris Rackauckas, Vaibhav Dixit, Adam R. Gerlach, Vijay Ivaturi
JULIA IN THE NEWS
Omniscape.jl: Software to Compute Omnidirectional Landscape Connectivity
Analytics Insight | January 2021 | Vincent A. Landau, Viral B. Shah, Ranjan Anantharaman, Kimberly R. Hall4
JULIA IN THE NEWS
Implications of Delayed Reopening in Controlling the COVID-19 Surge in Southern and West-Central USA
Analytics Insight | December 2020 | Raj Dandekar, Emma Wang, George Barbastathis, Chris Rackauckas
JULIA IN THE NEWS
Learning Non-Linear Spatio-Temporal Dynamics with Convolutional Neural ODEs
Analytics Insight | December 2020 | Varun Shankar, Gavin D. Portwood, Arvind T. Mohan, Peetak P. Mitra, Christopher Rackauckas, Lucas A. Wilson, David P. Schmidt, Venkatasubramanian Viswanathan
JULIA IN THE NEWS
Bayesian Neural Ordinary Differential Equations
Analytics Insight | December 2020 | Raj Dandekar, Karen Chung, Vaibhav Dixit, Mohamed Tarek, Aslan Garcia-Valadez, Krishna Vishal Vemula, Chris Rackauckas
JULIA IN THE NEWS
ACED: Accelerated Computational Electrochemical Systems Discovery
Analytics Insight | November 2020 | 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 Shah, Venkatasubramanian Viswanathan
JULIA IN THE NEWS
Accelerated Predictive Healthcare Analytics with Pumas, a High Performance Pharmaceutical Modeling and Simulation Platform
Analytics Insight | November 2020 | Chris Rackauckas, Yingbo Ma, Andreas Noack, Vaibhav Dixit, Patrick Kofod Mogensen, Simon Byrne, Shubham Maddhashiya, José Bayoán Santiago Calderón, Joakim Nyberg, Jogarao V.S. Gobburu, Vijay Ivaturi
JULIA IN THE NEWS
Capturing Missing Physics in Climate Model Parameterizations Using Neural Differential Equations
Analytics Insight | October 2020 | Ali Ramadhan, John Marshall, Andre Souza, Gregory LeClaire Wagner, Manvitha Ponnapati, Christopher Rackauckas
JULIA IN THE NEWS
World Age in Julia: Optimizing Method Dispatch in the Presence of Eval (Extended Version)
Analytics Insight | October 2020 | Julia Belyakova, Benjamin Chung, Jack Gelinas, Jameson Nash, Ross Tate, Jan Vitek
JULIA IN THE NEWS
Uncertainty Quantification of Ocean Parameterizations: Application to the K-Profile-Parameterization for Penetrative Convection
Analytics Insight | October 2020 | Andre Nogueira Souza, Gregory LeClaire Wagner, Ali Ramadhan, Valentin Churavy, Brandon Allen, James Schloss, Jean-Michel Campin, Chris Hill, Alan Edelman, John Marshall, Glenn R. Flierl, Raffaele Ferrari
JULIA IN THE NEWS
Beyond Deterministic Models in Drug Discovery and Development
Analytics Insight | October 2020 | Itziar Irurzun-Arana, Christopher Rackauckas, Thomas O McDonald, Iñaki F Trocóniz
JULIA IN THE NEWS
Oceananigans.jl: Fast and Friendly Geophysical Fluid Dynamics on GPUs
Analytics Insight | September 2020 | Ali Ramadhan, Gregory LeClaire Wagner, Chris Hill, Jean-Michel Campin, Valentin Churavy, Tim Besard, Andre Souza, Alan Edelman, Raffaele Ferrari, John Marshall
JULIA IN THE NEWS
Hybrid Mechanistic + Neural Model of Laboratory Helicopter
Analytics Insight | September 2020 | Christopher Rackauckas, Roshan Sharma, Bernt Lie
JULIA IN THE NEWS
The Koopman Expectation: An Operator Theoretic Method for Efficient Analysis and Optimization of Uncertain Hybrid Dynamical Systems
Analytics Insight | August 2020 | Adam R. Gerlach, Andrew Leonard, Jonathan Rogers, Chris Rackauckas
JULIA IN THE NEWS
Interoperating Deep Learning Models with ONNX.jl
Analytics Insight | August 2020 | Ayush Shridhar, Phil Tomson, Mike Innes
JULIA IN THE NEWS
Signal Enhancement for Magnetic Navigation Challenge Problem
Analytics Insight | July 2020 | Albert R. Gnadt, Joseph Belarge, Aaron Canciani, Lauren Conger, Joseph Curro, Alan Edelman, Peter Morales, Michael F. O'Keeffe, Jonathan Taylor, Christopher Rackauckas
JULIA IN THE NEWS
StochasticDelayDiffEq.jl - An Integrator Interface for Stochastic Delay Differential Equations in Julia
Analytics Insight | July 2020 | Henrik T Sykora, Christopher V. Rackauckas, David Widmann, Daniel Bachrathy
JULIA IN THE NEWS
A Machine Learning Aided Global Diagnostic and Comparative Tool to Assess Effect of Quarantine Control in Covid-19 Spread
Analytics Insight | July 2020 | Raj Dandekar, Chris Rackauckas, George Barbastathis
JULIA IN THE NEWS
A Multi-Control Climate Policy Process for a Trusted Decision Maker
Analytics Insight | May 2020 | Henri F. Drake , Ronald L. Rivest, John Deutch, Alan Edelman
JULIA IN THE NEWS
Safe Blues: A Method for Estimation and Control in the Fight Against COVID-19
Analytics Insight | May 2020 | Raj Dandekar, Shane G. Henderson, Marijn Jansen, Sarat Moka, Yoni Nazarathy, Christopher Rackauckas, Peter G. Taylor, Aapeli Vuorinen
JULIA IN THE NEWS
Sense & Sensitivities: the Path to General-Purpose Algorithmic Differentiation
Analytics Insight | March 2020 | Michael J Innes
JULIA IN THE NEWS
Generalized Physics-Informed Learning Through Language-Wide Differentiable Programming
Analytics Insight | March 2020 | Chris Rackauckas, Alan Edelman, Keno Fischer, Mike Innes, Elliot Saba, Viral B. Shah, Will Tebbutt
JULIA IN THE NEWS
WordTokenizers.jl: Basic Tools for Tokenizing Natural Language in Julia
Analytics Insight | February 2020 | Ayush Kaushal, Lyndon White, Mike Innes, Rohit Kumar
JULIA IN THE NEWS
Universal Differential Equations for Scientific Machine Learning
Analytics Insight | January 2020 | Christopher Rackauckas, Yingbo Ma, Julius Martensen, Collin Warner, Kirill Zubov, Rohit Supekar, Dominic Skinner, Ali Ramadhan, Alan Edelman
JULIA IN THE NEWS
Basic Threading Examples in JuliaLang v1.3
Analytics Insight | Dec 2019 | Jameson Nash, Jeff Bezanson and Kiran Pamnany
JULIA IN THE NEWS
Highly-Scalable, Physics-Informed GANs for Learning Solutions of Stochastic PDEs
Analytics Insight | October 2019 | Liu Yang, Sean Treichler, Thorsten Kurth, Keno Fischer, David Barajas-Solano, Josh Romero, Valentin Churavy, Alexandre Tartakovsky, Michael Houston, Prabhat, George Karniadakis
JULIA IN THE NEWS
Sparsity Programming: Automated Sparsity-Aware Optimizations in Differentiable Programming
Analytics Insight | September 2019 | Shashi Gowda, Yingbo Ma, Valentin Churavy, Alan Edelman, Christopher Rackauckas
JULIA IN THE NEWS
Differentiation of High-Level Language Semantics
Analytics Insight | September 2019 | Michael Innes
JULIA IN THE NEWS
A Differentiable Programming System to Bridge Machine Learning and Scientific Computing
Analytics Insight | July 2019 | Mike Innes, Alan Edelman, Keno Fischer, Chris Rackauckas, Elliot Saba, Viral B Shah, Will Tebbutt
JULIA IN THE NEWS
Rapid Software Prototyping for Heterogeneous and Distributed Platforms
Analytics Insight | June 2019 | Tim Besard, Valentin Churavy, Alan Edelman, Bjorn De Sutter
JULIA IN THE NEWS
Julia e Flux: Modernizando o Aprendizado de Máquina
Analytics Insight | Dec 2019 | Dhairya Gandhi, Mike Innes, Elliot Saba, Keno Fischer, Viral Shah
JULIA IN THE NEWS
Julia: A Fresh Approach to Technical Computing and Data Processing
Analytics Insight | March 2019 | Alan Edelman
JULIA IN THE NEWS
DiffEqFlux.jl - A Julia Library for Neural Differential Equations
Analytics Insight | Feburary 2019 | Chris Rackauckas, Mike Innes, Yingbo Ma, Jesse Bettencourt, Lyndon White, Vaibhav Dixit
JULIA IN THE NEWS
Circuitscape in Julia: High Performance Connectivity Modelling to Support Conservation Decisions
Analytics Insight | January 2019 | Ranjan Anantharaman, Kimberly Hall, Viral Shah, Alan Edelman
JULIA IN THE NEWS
Cataloging the Visible Universe through Bayesian Inference in Julia at Petascale
Analytics Insight | January 2019 | Jeffrey Regier, Keno Fischer, Kiran Pamnany, Andreas Noack, Jarrett Revels, Maximilian Lam, Steve Howard, Ryan Giordano, David Schlegel, Jon McAuliffe, Rollin Thomas, Prabhat
JULIA IN THE NEWS
A Comparison of Automatic Differentiation and Continuous Sensitivity Analysis for Derivatives of Differential Equation Solutions
Analytics Insight | December 2018 | Christopher Rackauckas, Yingbo Ma, Vaibhav Dixit, Xingjian Guo, Mike Innes, Jarrett Revels, Joakim Nyberg, Vijay Ivaturi
JULIA IN THE NEWS
Circuit-Theory Applications to Connectivity Science and Conservation
Analytics Insight | November 2018 | Brett G Dickson, Christine M Albano, Ranjan Anantharaman, Paul Beier, Joe Fargione, Tabitha A Graves, Miranda E Gray, Kimberly R Hall, Josh J Lawler, Paul B Leonard, Caitlin E Littlefield, Meredith L McClure, John Novembre, Carrie A Schloss, Nathan H Schumaker, Viral B Shah, David M Theobald
JULIA IN THE NEWS
Fashionable Modelling with Flux
Analytics Insight | November 2018 | Michael J Innes, Elliot Saba, Keno Fischer, Dhairya Gandhi, Marco Concetto Rudilosso, Neethu Mariya Joy, Tejan Karmali, Avik Pal and Viral Shah
JULIA IN THE NEWS
Julia: Dynamism and Performance Reconciled by Design
Analytics Insight | November 2018 | Jeff Bezanson, Jiahao Chen, Benjamin Chung, Stefan Karpinski, Viral B. Shah, Jan Vitek and Lionel Zoubritzky
JULIA IN THE NEWS
Julia Subtyping: A Rational Reconstruction
Analytics Insight | November 2018 | Francesco Zappa Nardelli, Julia Belyakova, Artem Pelenitsyn, Benjamin Chung, Jeff Bezanson and Jan Vitek
JULIA IN THE NEWS
Automatic Full Compilation of Julia Programs and ML Models to Cloud TPUs
Analytics Insight | October 2018 | Keno Fischer and Elliot Saba
JULIA IN THE NEWS
Interdisciplinary Case Study: How Mathematicians and Biologists Found Order in Cellular Noise
Analytics Insight | October 2018 | Christopher Rackauckas, Thomas Schilling, Qing Nie
JULIA IN THE NEWS
Don't Unroll Adjoint: Differentiating SSA-Form Programs
Analytics Insight | October 2018 | Michael J Innes
JULIA IN THE NEWS
Fast Flexible Function Dispatch in Julia
Analytics Insight | August 2018 | Jeff Bezanson, Jake Bolewski, Jiahao Chen
JULIA IN THE NEWS
Fast Computation of the Principal Components of Genotype Matrices in Julia
Analytics Insight | August 2018 | Jiahao Chen, Andreas Noack, Alan Edelman
JULIA IN THE NEWS
Confederated Modular Differential Equation APIs for Accelerated Algorithm Development and Benchmarking
Analytics Insight | July 2018 | Christopher Rackauckas, Qing Nie
JULIA IN THE NEWS
Flux: Elegant Machine Learning with Julia
Analytics Insight | May 2018 | Mike Innes
JULIA IN THE NEWS
Mean-Independent Noise Control of Cell Fates via Intermediate States
Analytics Insight | May 2018 | Christopher Rackauckas, Thomas Schilling, Qing Nie
JULIA IN THE NEWS
Stability-Optimized High Order Methods and Stiffness Detection for Pathwise Stiff Stochastic Differential Equations
Analytics Insight | April 2018 | Christopher Rackauckas, Qing Nie
JULIA IN THE NEWS
On Machine Learning and Programming Languages
Analytics Insight | February 2018 | Mike Innes, Stefan Karpinski, Viral Shah, James Bradbury, David Barber, Pontus Stenetorp, Valentin Churavy, Simon Danisch, Alan Edelman, Jon Malmaud, Jarrett Revels, Tim Besard, Deniz Yuret
JULIA IN THE NEWS
A More Open Efficient Future for AI Development and Data Science with an Introduction to Julia
Analytics Insight | December 2017 | Alan Edelman
JULIA IN THE NEWS
DifferentialEquations.jl – A Performant and Feature-Rich Ecosystem for Solving Differential Equations in Julia
Analytics Insight | May 2017 | Christopher Rackauckas , Qing Nie
JULIA IN THE NEWS
Julia: A Fresh Approach to Numerical Computing
Analytics Insight | February 2017 | Jeff Bezanson, Alan Edelman, Stefan Karpinski and Viral B. Shah
JULIA IN THE NEWS
Accelerated Convolutions for Efficient Multi-Scale Time to Contact Computation in Julia
Analytics Insight | December 2016 | Alexander Amini, Berthold Horn, Alan Edelman
JULIA IN THE NEWS
Vive La Difference!
Analytics Insight | November 2016 | Peter Farley, Michael Aichinger, Andreas Binder, Steve Wilcockson, Viral Shah, Simon Byrne, Sachvir Cheema, James Church
JULIA IN THE NEWS
GFLOW: Software for Modelling Circuit Theory-Based Connectivity at any Scale
Analytics Insight | November 2016 | Paul B. Leonard, Edward B. Duffy, Robert F. Baldwin, Brad H. McRae, Viral B. Shah, Tanmay K. Mohapatra
JULIA IN THE NEWS
Julia Implementation of the Dynamic Distributed Dimensional Data Model
Analytics Insight | August 2016 | Alexander Chen, Alan Edelman, Jeremy Kepner, Vijay Gadepally, Dylan Hutchison
JULIA IN THE NEWS
Circuitscape: Modeling Landscape Connectivity to Promote Conservation and Human Health
Analytics Insight | May 2016 | Brad McRae, Viral B. Shah
JULIA IN THE NEWS
Parallel Prefix Polymorphism Permits Parallelization, Presentation & Proof
Analytics Insight | November 2014 | Jiahao Chen and Alan Edelman
JULIA IN THE NEWS
Array Operators Using Multiple Dispatch: A Design Methodology for Array Implementations in Dynamic Languages
Analytics Insight | February 2014 | Jeff Bezanson, Jiahao Chen, Stefan Karpinski, Viral Shah and Alan Edelman
JULIA IN THE NEWS
Novel Algebras for Advanced Analytics in Julia
Analytics Insight | November 2013 | Viral B. Shah, Alan Edelman, Stefan Karpinski, Jeff Bezanson, Jeremy Kepner
JULIA IN THE NEWS
Julia: A Fast Dynamic Language for Technical Computing
Analytics Insight | September 2012 | Jeff Bezanson, Stefan Karpinski, Viral B. Shah, Alan Edelman