Dec1Anantharaman et al. publish "Composable and Reusable Neural Surrogates to Predict System Response of Causal Model Components"
Nov17On 17th and 18th February 2022 there will be an introduction to Julia workshop at the Applied and Computational Mathematics (ACoM) laboratory, RWTH Aachen University.
Nov11MIT + Pumas-AI + Roche team wins International Society of Pharmacology (ISoP) Mathematics and Computing Special Interest Group Award for "Automatic identification of non-obvious prognostic factors in big data with DeepNLME"
Nov1Rackauckas et al. publish "Generalized physics-informed learning through language-wide differentiable programming" in MIT web domain
Oct1Dandekar et al. publish "Implications of Delayed Reopening in Controlling the COVID-19 Surge in Southern and West-Central USA" in Health Data Science
Sep25Schäfer et al. release "AbstractDifferentiation.jl: Backend-Agnostic Differentiable Programming in Julia" in arXiv
Sep1Gowda et al. publish "High-performance symbolic-numerics via multiple dispatch" in ACM Communications in Computer Algebra
Sep1Ma et al. publish "A Comparison of Automatic Differentiation and Continuous Sensitivity Analysis for Derivatives of Differential Eq..."
Sep1Kim et al. publish "Stiff neural ordinary differential equations" in Chaos: An Interdisciplinary Journal of Nonlinear Science
Sep1Drake et al. publish "A simple model for assessing climate control trade-offs and responding to unanticipated climate outcomes" in Environmental Research Letters
Aug31SciML Receives Chan Zuckerberg Institute Funding: Spatial SSAs, Identifiability, and Compile Times
Jul28Emmanuel Lujan presents "Towards MDP.jl: The Julia Library of MD Potentials" at JuliaCon 2021 (Virtual), co-authored with N. C. Nguyen, W. S. Moses, A. Rohskopf, and V. Churavy
Jul19Kirill 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, and Chris Rackauckas release "NeuralPDE: Automating Physics-Informed Neural Networks (PINNs) with Error Approximations" on arXiv
Jul1Pal et al. publish "Opening the Blackbox: Accelerating Neural Differential Equations by Regularizing Internal Solver Heuristics"
Apr11MIT Julia Lab awarded a Climate Grand Challenge grant for briding computation with climate policymaking!
Apr1Roesch et al. publish "Collocation based training of neural ordinary differential equations" in Statistical Applications in Genetics and Molecular Biology
Mar9Ma et al. release "ModelingToolkit: A Composable Graph Transformation System For Equation-Based Modeling" in arXiv
Mar9MIT Julia Lab awarded Best Poster at the NeurIPS 2021 Differentiable Programming workshop for AbstractDifferentiation.jl!
Mar1Dandekar et al. publish "Safe Blues: The case for virtual safe virus spread in the long-term fight against epidemics" in Patterns
Mar1Hall et al. publish "Circuitscape in Julia: Empowering Dynamic Approaches to Connectivity Assessment" in Land
Jan19SciML Ecosystem Update: Bayesian Neural ODEs, Virtual Brownian Trees, Parallel Batching and More
Jan1Rackauckas et al. release "Efficient Precision Dosing Under Estimated Uncertainties via Koopman Expectations of Bayesian Posteriors with Pumas" in bioRxiv
Jan1Martensen and Rackauckas publish "Neural Network Surrogates and Symbolic Regression for System Estimation"
Jan1Drensky et al. publish "The densities and distributions of the largest eigenvalue and the trace of a Beta–Wishart matrix" in Random Matrices: Theory and Applications
Jan1Edelman and Wang publish "The gsvd: where are the ellipses?, matrix trigonometry, and more" in SIAM Journal on Matrix Analysis and Applications
