JULIA IN THE NEWS

Hydrogen for harvesting the potential of offshore wind: A North Sea case study

Analytics Insight | December 2023 | Espen Flo Bødal, Sigmund Eggen Holm, Avinash Subramanian, Goran Durakovic, Dimitri Pinel, Lars Hellemo, Miguel Muñoz Ortiz, Brage Rugstad Knudsen, Julian Straus

JULIA IN THE NEWS

Automated Translation and Accelerated Solving of Differential Equations on Multiple GPU Platforms

Analytics Insight | November 2023 | Utkarsh, Valentin Churavy, Yingbo Ma, Tim Besard, Prakitr Srisuma, Tim Gymnich, Adam R. Gerlach, Alan Edelman, George Barbastathis, Richard D. Braatz, Christopher Rackauckas

JULIA IN THE NEWS

Catalyst: Fast and Flexible Modeling of Reaction Networks

Analytics Insight | October 2023 | Torkel E. Loman, Yingbo Ma, Vasily Ilin, Shashi Gowda, Niklas Korsbo, Nikhil Yewale, Chris Rackauckas, Samuel A. Isaacson

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)

Analytics Insight | April 2023 | Christopher Rackauckas

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

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

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

Julia Introduction

Analytics Insight | October 2015 | Alan Edelman

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