Carlo Siebenschuh

According to our database, Carlo Siebenschuh authored at least 12 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

BioAlchemy: Distilling Biological Literature into Reasoning-Ready Reinforcement Learning Training Data.

Brian Hsu, Ozan Gökdemir, Carlo Siebenschuh, Bruce D. Parrello, Neil Getty, Thomas S. Brettin, Rick L. Stevens, Ian T. Foster, Nicholas Chia, Arvind Ramanathan

CoRR, April, 2026

2025

Scalable Agentic Reasoning for Designing Biologics Targeting Intrinsically Disordered Proteins.

Matthew Sinclair, Moeen Meigooni, Archit Vasan, Ozan Gökdemir, Xinran Lian, Heng Ma, Yadu N. Babuji, Alexander Brace, Khalid Hossain, Carlo Siebenschuh, Thomas S. Brettin, Kyle Chard, Christopher S. Henry, Venkatram Vishwanath, Rick L. Stevens, Ian T. Foster, Arvind Ramanathan

CoRR, December, 2025

HiPerRAG: High-Performance Retrieval Augmented Generation for Scientific Insights.

Ozan Gökdemir, Carlo Siebenschuh, Alexander Brace, Azton Wells, Brian Hsu, Kyle Hippe, Priyanka Vasanthakumari, Aswathy Ajith, J. Gregory Pauloski, Varuni Katti Sastry, Sam Foreman, Huihuo Zheng, Heng Ma, Bharat Kale, Nicholas Chia, Thomas Gibbs, Michael E. Papka, Thomas S. Brettin, Francis J. Alexander, Anima Anandkumar, Ian T. Foster, Rick Stevens, Venkatram Vishwanath, Arvind Ramanathan

CoRR, May, 2025

Connecting Large Language Model Agent to High Performance Computing Resource.

Heng Ma, Alexander Brace, Carlo Siebenschuh, J. Gregory Pauloski, Ian T. Foster, Arvind Ramanathan

CoRR, February, 2025

LangChain-Parsl: Connect Large Language Model Agents to High Performance Computing Resource.

Heng Ma, Alexander Brace, Carlo Siebenschuh, Ian T. Foster, Arvind Ramanathan

Proceedings of the SC '25 Workshops of the International Conference for High Performance Computing, 2025

HiPerRAG: High-Performance Retrieval Augmented Generation for Scientific Insights.

Ozan Gökdemir, Carlo Siebenschuh, Alexander Brace, Azton Wells, Brian Hsu, Kyle Hippe, Priyanka Setty, Aswathy Ajith, J. Gregory Pauloski, Varuni Sastry, Sam Foreman, Huihuo Zheng, Heng Ma, Bharat Kale, Nicholas Chia, Thomas Gibbs, Michael E. Papka, Thomas S. Brettin, Francis J. Alexander, Anima Anandkumar, Ian T. Foster, Rick Stevens, Venkatram Vishwanath, Arvind Ramanathan

Proceedings of the Platform for Advanced Scientific Computing Conference, 2025

AdaParse: An Adaptive Parallel PDF Parsing and Resource Scaling Engine.

Carlo Siebenschuh, Kyle Hippe, Ozan Gökdemir, Alexander Brace, Arham Mushtaq Khan, Khalid Hossain, Yadu N. Babuji, Nicholas Chia, Venkatram Vishwanath, Arvind Ramanathan, Rick L. Stevens, Ian T. Foster, Robert Underwood

Proceedings of the Eighth Conference on Machine Learning and Systems, 2025

2024

LSHBloom: Memory-efficient, Extreme-scale Document Deduplication.

Arham Khan, Robert Underwood, Carlo Siebenschuh, Yadu N. Babuji, Aswathy Ajith, Kyle Hippe, Ozan Gökdemir, Alexander Brace, Kyle Chard, Ian T. Foster

CoRR, 2024

2023

WordScape: a Pipeline to extract multilingual, visually rich Documents with Layout Annotations from Web Crawl Data.

Maurice Weber, Carlo Siebenschuh, Rory Butler, Anton Alexandrov, Valdemar Thanner, Georgios Tsolakis, Haris Jabbar, Ian T. Foster, Bo Li, Rick Stevens, Ce Zhang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2020

Change Detection from Remote Sensing to Guide OpenStreetMap Labeling.

Conrad M. Albrecht, Rui Zhang, Xiaodong Cui, Marcus Freitag, Hendrik F. Hamann, Levente J. Klein, Ulrich Finkler, Fernando J. Marianno, Johannes Schmude, Norman Bobroff, Wei Zhang, Carlo Siebenschuh, Siyuan Lu

ISPRS Int. J. Geo Inf., 2020

Next-generation geospatial-temporal information technologies for disaster management.

Conrad M. Albrecht, Bruce Elmegreen, Oki Gunawan, Hendrik F. Hamann, Levente J. Klein, Siyuan Lu, F. Mariano, Carlo Siebenschuh, Johannes Schmude

IBM J. Res. Dev., 2020

2019

N-dimensional geospatial data and analytics for critical infrastructure risk assessment.

Levente J. Klein, Conrad M. Albrecht, Wang Zhou, Carlo Siebenschuh, Sharathchandra Pankanti, Hendrik F. Hamann, Siyuan Lu

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019