Glioma Segmentation and a Simple Accurate Model for Overall Survival Prediction. - Evan D. H. Gates; J. Gregory Pauloski; Dawid Schellingerhout; David Fuentes 001 (BrainLes@MICCAI (2), 2018)

Aggregating Local Storage for Scalable Deep Learning I/O. - Zhao Zhang 007; Lei Huang 019; J. Gregory Pauloski; Ian T. Foster (DLS@SC, 2019)

Efficient I/O for Neural Network Training with Compressed Data. - Zhao Zhang 007; Lei Huang 019; J. Gregory Pauloski; Ian T. Foster (IPDPS, 2020)

Convolutional neural network training with distributed K-FAC. - J. Gregory Pauloski; Zhao Zhang 007; Lei Huang 019; Weijia Xu; Ian T. Foster (SC, 2020)

Colmena: Scalable Machine-Learning-Based Steering of Ensemble Simulations for High Performance Computing. - Logan T. Ward; Ganesh Sivaraman; J. Gregory Pauloski; Yadu N. Babuji; Ryan Chard; Naveen Dandu; Paul C. Redfern; Rajeev S. Assary; Kyle Chard; Larry A. Curtiss; Rajeev Thakur; Ian T. Foster (MLHPC@SC, 2021)

KAISA: an adaptive second-order optimizer framework for deep neural networks. - J. Gregory Pauloski; Qi Huang; Lei Huang 019; Shivaram Venkataraman; Kyle Chard; Ian T. Foster; Zhao Zhang 007 (SC, 2021)

AI- and HPC-enabled Lead Generation for SARS-CoV-2: Models and Processes to Extract Druglike Molecules Contained in Natural Language Text. - Zhi Hong; J. Gregory Pauloski; Logan T. Ward; Kyle Chard; Ben Blaiszik; Ian T. Foster (CoRR, 2021)

ScholarBERT: Bigger is Not Always Better. - Zhi Hong; Aswathy Ajith; J. Gregory Pauloski; Eamon Duede; Carl Malamud; Roger Magoulas; Kyle Chard; Ian T. Foster (CoRR, 2022)

Deep Neural Network Training With Distributed K-FAC. - J. Gregory Pauloski; Lei Huang 019; Weijia Xu; Kyle Chard; Ian T. Foster; Zhao Zhang 007 (IEEE Trans. Parallel Distributed Syst., 2022)

The Diminishing Returns of Masked Language Models to Science. - Zhi Hong; Aswathy Ajith; J. Gregory Pauloski; Eamon Duede; Kyle Chard; Ian T. Foster (ACL (Findings), 2023)

Trillion Parameter AI Serving Infrastructure for Scientific Discovery: A Survey and Vision. - Nathaniel Hudson 001; J. Gregory Pauloski; Matt Baughman; Alok Kamatar; Mansi Sakarvadia; Logan T. Ward; Ryan Chard; André Bauer 001; Maksim Levental; Wenyi Wang; Will Engler; Owen Price Skelly; et al. (BDCAT, 2023)

Cloud Services Enable Efficient AI-Guided Simulation Workflows across Heterogeneous Resources. - Logan T. Ward; J. Gregory Pauloski; Valérie Hayot-Sasson; Ryan Chard; Yadu N. Babuji; Ganesh Sivaraman; Sutanay Choudhury; Kyle Chard; Rajeev Thakur; Ian T. Foster (IPDPS Workshops, 2023)

Accelerating Communications in Federated Applications with Transparent Object Proxies. - J. Gregory Pauloski; Valérie Hayot-Sasson; Logan T. Ward; Nathaniel Hudson 001; Charlie Sabino; Matt Baughman; Kyle Chard; Ian T. Foster (SC, 2023)

DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies. - Shuaiwen Leon Song; Bonnie Kruft; Minjia Zhang; Conglong Li; Shiyang Chen 004; Chengming Zhang 006; Masahiro Tanaka; Xiaoxia Wu; Jeff Rasley; Ammar Ahmad Awan; Connor Holmes; Martin Cai; et al. (CoRR, 2023)

GenSLMs: Genome-scale language models reveal SARS-CoV-2 evolutionary dynamics. - Maxim Zvyagin; Alexander Brace; Kyle Hippe; Yuntian Deng; Bin Zhang; Cindy Orozco Bohorquez; Austin Clyde; Bharat Kale; Danilo Perez-Rivera; Heng Ma; Carla M. Mann; Michael W. Irvin; et al. (Int. J. High Perform. Comput. Appl., 2023)

An Empirical Investigation of Container Building Strategies and Warm Times to Reduce Cold Starts in Scientific Computing Serverless Functions. - André Bauer 001; Maxime Gonthier; Haochen Pan; Ryan Chard; Daniel Grzenda; Martin Straesser; J. Gregory Pauloski; Alok Kamatar; Matt Baughman; Nathaniel Hudson 001; Ian T. Foster; Kyle Chard (e-Science, 2024)

TaPS: A Performance Evaluation Suite for Task-based Execution Frameworks. - J. Gregory Pauloski; Valérie Hayot-Sasson; Maxime Gonthier; Nathaniel Hudson 001; Haochen Pan; Sicheng Zhou; Ian T. Foster; Kyle Chard (e-Science, 2024)

Establishing a High-Performance and Productive Ecosystem for Distributed Execution of Python Functions Using Globus Compute. - Rachana Ananthakrishnan; Yadu N. Babuji; Josh Bryan; Kyle Chard; Ryan Chard; Ben Clifford; Ian T. Foster; Lev Gorenstein; Kevin Hunter Kesling; Chris Janidlo; Daniel S. Katz; Reid Mello; et al. (SC Workshops, 2024)

Accelerating Python Applications with Dask and ProxyStore. - J. Gregory Pauloski; Klaudiusz Rydzy; Valérie Hayot-Sasson; Ian T. Foster; Kyle Chard (CoRR, 2024)

D-Rex: Heterogeneity-Aware Reliability Framework and Adaptive Algorithms for Distributed Storage. - Maxime Gonthier; Dante D. Sánchez-Gallegos; Haochen Pan; Bogdan Nicolae; Sicheng Zhou; Hai Duc Nguyen 005; Valérie Hayot-Sasson; J. Gregory Pauloski; Jesús Carretero 001; Kyle Chard; Ian T. Foster (ICS, 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; et al. (PASC, 2025)

COMPSO: Optimizing Gradient Compression for Distributed Training with Second-Order Optimizers. - Baixi Sun; Weijin Liu; J. Gregory Pauloski; Jiannan Tian; Jinda Jia; Daoce Wang; Boyuan Zhang 002; Mingkai Zheng; Sheng Di; Sian Jin; Zhao Zhang 007; Xiaodong Yu 001; et al. (PPoPP, 2025)

Employing artificial intelligence to steer exascale workflows with colmena. - Logan T. Ward; J. Gregory Pauloski; Valérie Hayot-Sasson; Yadu N. Babuji; Alexander Brace; Ryan Chard; Kyle Chard; Rajeev Thakur; Ian T. Foster (Int. J. High Perform. Comput. Appl., 2025)

MOFA: Discovering Materials for Carbon Capture with a GenAI- and Simulation-Based Workflow. - Xiaoli Yan; Nathaniel Hudson 001; Hyun Park; Daniel Grzenda; J. Gregory Pauloski; Marcus Schwarting; Haochen Pan; Hassan Harb; Sam Foreman; Chris Knight 001; Tom Gibbs; Kyle Chard; et al. (CoRR, 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, 2025)

Object Proxy Patterns for Accelerating Distributed Applications. - J. Gregory Pauloski; Valérie Hayot-Sasson; Logan T. Ward; Alexander Brace; André Bauer 001; Kyle Chard; Ian T. Foster (IEEE Trans. Parallel Distributed Syst., 2025)

WRATH: Workload Resilience Across Task Hierarchies in Task-based Parallel Programming Frameworks. - Sicheng Zhou; Zhuozhao Li; Valérie Hayot-Sasson; Haochen Pan; Maxime Gonthier; J. Gregory Pauloski; Ryan Chard; Kyle Chard; Ian T. Foster (CoRR, 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; et al. (CoRR, 2025)

Empowering Scientific Workflows with Federated Agents. - J. Gregory Pauloski; Yadu N. Babuji; Ryan Chard; Mansi Sakarvadia; Kyle Chard; Ian T. Foster (CoRR, 2025)

AERO: An autonomous platform for continuous research. - Valérie Hayot-Sasson; Abby Stevens; Nicholson T. Collier; Sudershan Sridhar; Kyle Conroy; J. Gregory Pauloski; Yadu N. Babuji; Maxime Gonthier; Nathaniel Hudson 001; Dante D. Sánchez-Gallegos; Ian T. Foster; Jonathan Ozik; et al. (CoRR, 2025)

DynoStore: A wide-area distribution system for the management of data over heterogeneous storage. - Dante D. Sánchez-Gallegos; José Luis González Compeán; Maxime Gonthier; Valérie Hayot-Sasson; J. Gregory Pauloski; Haochen Pan; Kyle Chard; Jesús Carretero 001; Ian T. Foster (CoRR, 2025)

Agentic Discovery: Closing the Loop With Cooperative Agents. - J. Gregory Pauloski; Kyle Chard; Ian T. Foster (Computer, 2025)

Flight: A FaaS-based framework for complex and Hierarchical Federated Learning. - Nathaniel Hudson 001; Valérie Hayot-Sasson; Yadu Nand Babuji; Matt Baughman; J. Gregory Pauloski; Ryan Chard; Ian T. Foster; Kyle Chard (Future Gener. Comput. Syst., 2026)