Quantifying Robustness in a Spatial Model of Metabolism-Boundary Co-Construction. - Eran Agmon; Alexander J. Gates; Valentin Churavy; Randall D. Beer (ALIFE, 2014)

Exploring the Space of Viable Configurations in a Model of Metabolism-Boundary Co-construction. - Eran Agmon; Alexander J. Gates; Valentin Churavy; Randall D. Beer (Artif. Life, 2016)

Dynamic Automatic Differentiation of GPU Broadcast Kernels. - Jarrett Revels; Tim Besard; Valentin Churavy; Bjorn De Sutter; Juan Pablo Vielma (CoRR, 2018)

Highly-Ccalable, Physics-Informed GANs for Learning Solutions of Stochastic PDEs. - Liu Yang; Prabhat; George E. Karniadakis; Sean Treichler; Thorsten Kurth; Keno Fischer; David A. Barajas-Solano; Joshua Romero; Valentin Churavy; Alexandre M. Tartakovsky; Michael Houston (DLS@SC, 2019)

Rapid software prototyping for heterogeneous and distributed platforms. - Tim Besard; Valentin Churavy; Alan Edelman; Bjorn De Sutter (Adv. Eng. Softw., 2019)

Highly-scalable, physics-informed GANs for learning solutions of stochastic PDEs. - Liu Yang; Sean Treichler; Thorsten Kurth; Keno Fischer; David A. Barajas-Solano; Joshua Romero; Valentin Churavy; Alexandre M. Tartakovsky; Michael Houston; Prabhat; George E. Karniadakis (CoRR, 2019)

Instead of Rewriting Foreign Code for Machine Learning, Automatically Synthesize Fast Gradients. - William S. Moses; Valentin Churavy (NeurIPS, 2020)

Oceananigans.jl: Fast and friendly geophysical fluid dynamics on GPUs. - Ali Ramadhan; Gregory LeClaire Wagner; Chris Hill; Jean-Michel Campin; Valentin Churavy; Tim Besard; Andre Souza; Alan Edelman; Raffaele Ferrari; John Marshall (J. Open Source Softw., 2020)

Reverse-mode automatic differentiation and optimization of GPU kernels via enzyme. - William S. Moses; Valentin Churavy; Ludger Paehler; Jan Hückelheim; Sri Hari Krishna Narayanan; Michel Schanen; Johannes Doerfert (SC, 2021)

Productivity meets Performance: Julia on A64FX. - Mosè Giordano; Milan Klöwer; Valentin Churavy (CLUSTER, 2022)

Bring the BitCODE-Moving Compute and Data in Distributed Heterogeneous Systems. - Wenbin Lu; Luis E. Peña; Pavel Shamis; Valentin Churavy; Barbara M. Chapman; Steve Poole 001 (CLUSTER, 2022)

Batched Second-Order Adjoint Sensitivity for Reduced Space Methods. - François Pacaud; Michel Schanen; Daniel Adrian Maldonado; Alexis Montoison; Valentin Churavy; Julian Samaroo; Mihai Anitescu (PP, 2022)

Scalable Automatic Differentiation of Multiple Parallel Paradigms through Compiler Augmentation. - William S. Moses; Sri Hari Krishna Narayanan; Ludger Paehler; Valentin Churavy; Michel Schanen; Jan Hückelheim; Johannes Doerfert; Paul D. Hovland (SC, 2022)

Bridging HPC Communities through the Julia Programming Language. - Valentin Churavy; William F. Godoy; Carsten Bauer; Hendrik Ranocha; Michael Schlottke-Lakemper; Ludovic Räss; Johannes P. Blaschke; Mosè Giordano; Erik Schnetter; Samuel Omlin; Jeffrey S. Vetter; Alan Edelman (CoRR, 2022)

Reproducibility repository for Bridging HPC Communities through the Julia Programming Language. - Valentin Churavy; William F. Godoy; Carsten Bauer; Hendrik Ranocha; Michael Schlottke-Lakemper; Ludovic Räss; Johannes P. Blaschke; Mosè Giordano; Erik Schnetter; Samuel Omlin; Jeffrey S. Vetter; Alan Edelman (Zenodo, 2022)

Transparent Checkpointing for Automatic Differentiation of Program Loops Through Expression Transformations. - Michel Schanen; Sri Hari Krishna Narayanan; Sarah Williamson; Valentin Churavy; William S. Moses; Ludger Paehler (ICCS (3), 2023)

Evaluating performance and portability of high-level programming models: Julia, Python/Numba, and Kokkos on exascale nodes. - William F. Godoy; Pedro Valero-Lara; T. Elise Dettling; Christian Trefftz; Ian Jorquera; Thomas Sheehy; Ross G. Miller; Marc González Tallada; Jeffrey S. Vetter; Valentin Churavy (IPDPS Workshops, 2023)

Automated Translation and Accelerated Solving of Differential Equations on Multiple GPU Platforms. - Utkarsh Rajput; Valentin Churavy; Yingbo Ma; Tim Besard; Tim Gymnich; Adam R. Gerlach; Alan Edelman; Christopher Rackauckas (CoRR, 2023)

Oceananigans.jl: A model that achieves breakthrough resolution, memory and energy efficiency in global ocean simulations. - Simone Silvestri; Gregory LeClaire Wagner; Christopher Hill; Matin Raayai Ardakani; Johannes P. Blaschke; Jean-Michel Campin; Valentin Churavy; Navid C. Constantinou; Alan Edelman; John Marshall; Ali Ramadhan; Andre Souza; et al. (CoRR, 2023)

Automatic differentiation for Lax-Wendroff-type discretizations. - Arpit Babbar; Valentin Churavy; Michael Schlottke-Lakemper; Hendrik Ranocha (CoRR, 2025)

Performant Unified GPU Kernels for Portable Singular Value Computation Across Hardware and Precision. - Evelyne Ringoot; Rabab Alomairy; Valentin Churavy; Alan Edelman (CoRR, 2025)