OMGMO: Original Multi-modal Dataset of Genetically Modified Organisms in African Agriculture. - Daniel Grzenda; Trevor Spreadbury; Joeva Rock; Brian Dowd-Uribe; David Uminsky 001 (SocInfo, 2022)

Memory Injections: Correcting Multi-Hop Reasoning Failures During Inference in Transformer-Based Language Models. - Mansi Sakarvadia; Aswathy Ajith; Arham Khan; Daniel Grzenda; Nathaniel Hudson; André Bauer 001; Kyle Chard; Ian T. Foster (BlackboxNLP@EMNLP, 2023)

Attention Lens: A Tool for Mechanistically Interpreting the Attention Head Information Retrieval Mechanism. - Mansi Sakarvadia; Arham Khan; Aswathy Ajith; Daniel Grzenda; Nathaniel Hudson; André Bauer 001; Kyle Chard; Ian T. Foster (CoRR, 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; Ian T. Foster; Kyle Chard (e-Science, 2024)

NuGraph2: A Graph Neural Network for Neutrino Physics Event Reconstruction. - V. Hewes; Adam Aurisano; Giuseppe Cerati; Jim Kowalkowski; Claire Songhyun Lee; Wei-keng Liao; Daniel Grzenda; Kaushal Gumpula; Xiaohe Zhang (CoRR, 2024)

SoK: On Finding Common Ground in Loss Landscapes Using Deep Model Merging Techniques. - Arham Khan; Todd Nief; Nathaniel Hudson; Mansi Sakarvadia; Daniel Grzenda; Aswathy Ajith; Jordan Pettyjohn; Kyle Chard; Ian T. Foster (CoRR, 2024)

MOFA: Discovering Materials for Carbon Capture with a GenAI- and Simulation-Based Workflow. - Xiaoli Yan; Nathaniel Hudson; 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)

Towards Continuous Home Cage Monitoring: An Evaluation of Tracking and Identification Strategies for Laboratory Mice. - Juan Pablo Oberhauser; Daniel Grzenda (CoRR, 2025)