Effectively Using Remote I/O For Work Composition in Distributed Workflows. - Ryan D. Friese; Burcu Ozcelik Mutlu; Nathan R. Tallent; Joshua Suetterlein; Jan Strube 001 (IEEE BigData, 2020)

Scaling the training of particle classification on simulated MicroBooNE events to multiple GPUs. - Alex Hagen; Eric Church; Jan Strube 001; Kolahal Bhattacharya; Vinay Amatya (CoRR, 2020)

Accelerated Computation of a High Dimensional Kolmogorov-Smirnov Distance. - Alex Hagen; Shane Jackson; James Kahn; Jan Strube 001; Isabel Haide; Karl Pazdernik; Connor Hainje (CoRR, 2021)

Performance of Julia for High Energy Physics Analyses. - Marcel Stanitzki; Jan Strube 001 (Comput. Softw. Big Sci., 2021)

Identifying build orientation of 3D-printed materials using convolutional neural networks. - Jan Strube 001; Malachi Schram; Sabiha Rustam; Zachary Kennedy; Tamás Varga (Stat. Anal. Data Min., 2021)

Neural Ordinary Differential Equations for Nonlinear System Identification. - Aowabin Rahman; Ján Drgona; Aaron Tuor; Jan Strube 001 (ACC, 2022)

Potential of the Julia Programming Language for High Energy Physics Computing. - Jonas Eschle; Tamás Gál; Mosè Giordano; Philippe Gras; Benedikt Hegner; Lukas Heinrich; Uwe Hernandez Acosta; Stefan Kluth; Jerry (Jiahong) Ling; Pere Mato; Mikhail Mikhasenko; Alexander Moreno Briceño; et al. (Comput. Softw. Big Sci., 2023)

SAM-I-Am: Semantic Boosting for Zero-shot Atomic-Scale Electron Micrograph Segmentation. - Waqwoya Abebe; Jan Strube 001; Luanzheng Guo; Nathan R. Tallent; Oceane Bel; Steven R. Spurgeon; Christina Doty; Ali Jannesari (CoRR, 2024)

PermitQA: A Benchmark for Retrieval Augmented Generation in Wind Siting and Permitting domain. - Rounak Meyur; Hung Phan; Sridevi Wagle; Jan Strube 001; Mahantesh Halappanavar; Sameera Horawalavithana; Anurag Acharya 002; Sai Munikoti (CoRR, 2024)

Final Report for CHESS: Cloud, High-Performance Computing, and Edge for Science and Security. - Nathan R. Tallent; Jan Strube 001; Luanzheng Guo; Hyungro Lee; Jesun Firoz; Sayan Ghosh; Bo Fang 002; Oceane Bel; Steven R. Spurgeon; Sarah Akers; Christina Doty; Erol Cromwell (CoRR, 2024)

Exploration of LLM Lossless Compression on Scientific Data. - Max H. Faykus; Luanzheng Guo; Rizwan A. Ashraf; Jan Strube 001; Jon C. Calhoun; Nathan R. Tallent (IPDPS (Workshops), 2025)

High-performance Visual Semantics Compression for AI-Driven Science. - Boyuan Zhang 002; Luanzheng Guo; Jiannan Tian; Jinyang Liu 003; Daoce Wang; Fanjiang Ye; Chengming Zhang 006; Jan Strube 001; Nathan R. Tallent; Dingwen Tao (PPoPP, 2025)

AI-Enabled Operations at Fermi Complex: Multivariate Time Series Prediction for Outage Prediction and Diagnosis. - Milan Jain; Burcu Ozcelik Mutlu; Caleb Stam; Jan Strube 001; Brian Schupbach; Jason Michael St. John; William A. Pellico (CoRR, 2025)

SuperSAM: Crafting a SAM Supernetwork via Structured Pruning and Unstructured Parameter Prioritization. - Waqwoya Abebe; Sadegh Jafari; Sixing Yu; Akash Dutta; Jan Strube 001; Nathan R. Tallent; Luanzheng Guo; J. Pablo Muñoz; Ali Jannesari (CoRR, 2025)