Jan Strube

17 papers B 1C 1Journal 12Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
AI-Enabled Operations at Fermi Complex: Multivariate Time Series Prediction for Outage Prediction and Diagnosis.
CoRR
Milan Jain, Burcu Ozcelik Mutlu, Caleb Stam, Jan Strube, Brian Schupbach, Jason Michael St. John, William A. Pellico
2025 — conf
Exploration of LLM Lossless Compression on Scientific Data.
IPDPS (Workshops)
Max H. Faykus, Luanzheng Guo, Rizwan A. Ashraf, Jan Strube, Jon C. Calhoun, Nathan R. Tallent
2025 B conf
High-performance Visual Semantics Compression for AI-Driven Science.
PPoPP
Boyuan Zhang, Luanzheng Guo, Jiannan Tian, Jinyang Liu, Daoce Wang, Fanjiang Ye, Chengming Zhang, Jan Strube, Nathan R. Tallent, Dingwen Tao
2025 — conf
LABMATE: Language Model Based Multi-Agent System to Accelerate Catalysis Experiments.
SC Workshops
Anurag Acharya, Anshu Kiran Sharma, Derek Parker, Timothy Vega, Rizwan A. Ashraf, Natalie M. Isenberg, Jan Strube, Robert Rallo
2025 J jnl
SuperSAM: Crafting a SAM Supernetwork via Structured Pruning and Unstructured Parameter Prioritization.
CoRR
Waqwoya Abebe, Sadegh Jafari, Sixing Yu, Akash Dutta, Jan Strube, Nathan R. Tallent, Luanzheng Guo, J. Pablo Muñoz, Ali Jannesari
2024 J jnl
Final Report for CHESS: Cloud, High-Performance Computing, and Edge for Science and Security.
CoRR
Nathan R. Tallent, Jan Strube, Luanzheng Guo, Hyungro Lee, Jesun Firoz, Sayan Ghosh, Bo Fang, Oceane Bel, Steven R. Spurgeon, Sarah Akers, Christina Doty, Erol Cromwell
2024 J jnl
PermitQA: A Benchmark for Retrieval Augmented Generation in Wind Siting and Permitting domain.
CoRR
Rounak Meyur, Hung Phan, Sridevi Wagle, Jan Strube, Mahantesh Halappanavar, Sameera Horawalavithana, Anurag Acharya, Sai Munikoti
2024 J jnl
SAM-I-Am: Semantic Boosting for Zero-shot Atomic-Scale Electron Micrograph Segmentation.
CoRR
Waqwoya Abebe, Jan Strube, Luanzheng Guo, Nathan R. Tallent, Oceane Bel, Steven R. Spurgeon, Christina Doty, Ali Jannesari
2023 J jnl
Potential of the Julia Programming Language for High Energy Physics Computing.
Comput. Softw. Big Sci.
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, Jim Pivarski, Konstantinos Samaras-Tsakiris, Oliver Schulz, Graeme Andrew Stewart, Jan Strube, Vassil Vassilev
2023 J jnl
Potential of the Julia programming language for high energy physics computing.
CoRR
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, Jim Pivarski, Konstantinos Samaras-Tsakiris, Oliver Schulz, Graeme A. Stewart, Jan Strube, Vassil Vassilev
2022 C conf
Neural Ordinary Differential Equations for Nonlinear System Identification.
ACC
Aowabin Rahman, Ján Drgona, Aaron Tuor, Jan Strube
2022 J jnl
Neural Ordinary Differential Equations for Nonlinear System Identification.
CoRR
Aowabin Rahman, Ján Drgona, Aaron Tuor, Jan Strube
2021 J jnl
Accelerated Computation of a High Dimensional Kolmogorov-Smirnov Distance.
CoRR
Alex Hagen, Shane Jackson, James Kahn, Jan Strube, Isabel Haide, Karl Pazdernik, Connor Hainje
2021 J jnl
Identifying build orientation of 3D-printed materials using convolutional neural networks.
Stat. Anal. Data Min.
Jan Strube, Malachi Schram, Sabiha Rustam, Zachary Kennedy, Tamás Varga
2021 J jnl
Performance of Julia for High Energy Physics Analyses.
Comput. Softw. Big Sci.
Marcel Stanitzki, Jan Strube
2020 — conf
Effectively Using Remote I/O For Work Composition in Distributed Workflows.
IEEE BigData
Ryan D. Friese, Burcu Ozcelik Mutlu, Nathan R. Tallent, Joshua Suetterlein, Jan Strube
2020 J jnl
Scaling the training of particle classification on simulated MicroBooNE events to multiple GPUs.
CoRR
Alex Hagen, Eric Church, Jan Strube, Kolahal Bhattacharya, Vinay Amatya