Michael Majurski

17 papers Journal 11Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
Grounding Generative Evaluations of Language Models in Unsupervised Document Corpora.
Trans. Mach. Learn. Res.
Michael Majurski, Cynthia Matuszek
2026 J jnl
Query Disambiguation via Answer-Free Context: Doubling Performance on Humanity's Last Exam.
CoRR
Michael Majurski, Cynthia Matuszek
2026 J jnl
Trojans in Artificial Intelligence (TrojAI) Final Report.
CoRR
Kristopher W. Reese, Taylor Kulp-McDowall, Michael Majurski, Timothy Blattner, Derek Juba, Peter Bajcsy, Antonio Cardone, Philippe Dessauw, Alden Dima, Anthony J. Kearsley, Melinda Kleczynski, Joel Vasanth, Walid Keyrouz, Chace Ashcraft, Neil Fendley, Ted Staley, Trevor Stout, Josh Carney, Greg Canal, William Redman, Aurora Schmidt, Cameron Hickert, William Paul, Jared Markowitz, Nathan Drenkow, David Shriver, Marissa Connor, Keltin Grimes, Marco Christiani, Hayden Moore, Jordan Widjaja, Kasimir Gabert, Uma Balakrishnan, Satyanadh Gundimada, John Jacobellis, Sandya Lakkur, Vitus Leung, Jon Roose, Casey Battaglino, Farinaz Koushanfar, Greg Fields, Xihe Gu, Yaman Jandali, Xinqiao Zhang, Tara Javidi, Akash Vartak, Tim Oates, Ben Erichson, Michael Mahoney, Rauf Izmailov, Xiangyu Zhang, Guangyu Shen, Siyuan Cheng, Shiqing Ma, Xiaofeng Wang, Haixu Tang, Di Tang, Xiaoyi Chen, Zihao Wang, Rui Zhu, Susmit Jha, Xiao Lin, Manoj Acharya, Weichao Zhou, Feisi Fu, Panagiota Kiourti, Chenyu Wang, Zijian Guo, H. M. Sabbir Ahmad, Wenchao Li, Chao Chen
2025 J jnl
Grounding Synthetic Data Evaluations of Language Models in Unsupervised Document Corpora.
CoRR
Michael Majurski, Cynthia Matuszek
2024 — conf
A Method of Moments Embedding Constraint and its Application to Semi-Supervised Learning.
CVPR Workshops
Michael Majurski, Sumeet Menon, Parniyan Farvardin, David Chapman
2024 J jnl
A Method of Moments Embedding Constraint and its Application to Semi-Supervised Learning.
CoRR
Michael Majurski, Sumeet Menon, Parniyan Farvardin, David Chapman
2022 J jnl
AI Model Utilization Measurements For Finding Class Encoding Patterns.
CoRR
Peter Bajcsy, Antonio Cardone, Chenyi Ling, Philippe Dessauw, Michael Majurski, Timothy Blattner, Derek Juba, Walid Keyrouz
2022 — conf
Characterization of AI Model Configurations for Model Reuse.
ECCV Workshops (4)
Peter Bajcsy, Michael Majurski, Thomas E. Cleveland IV, Manuel J. Carrasco, Walid Keyrouz
2021 J jnl
Baseline Pruning-Based Approach to Trojan Detection in Neural Networks.
CoRR
Peter Bajcsy, Michael Majurski
2020 — conf
Analyzing U-Net Robustness for Single Cell Nucleus Segmentation from Phase Contrast Images.
CVPR Workshops
Chenyi Ling, Michael Halter, Anne L. Plant, Michael Majurski, Jeffrey Stinson, Joe Chalfoun
2020 J jnl
Neural Network Calculator for Designing Trojan Detectors.
CoRR
Peter Bajcsy, Nicholas J. Schaub, Michael Majurski
2019 — conf
Cell Image Segmentation Using Generative Adversarial Networks, Transfer Learning, and Augmentations.
CVPR Workshops
Michael Majurski, Petru Manescu, Sarala Padi, Nicholas Schaub, Nathan Hotaling, Carl Simon Jr, Peter Bajcsy
2016 J jnl
Enabling Stem Cell Characterization from Large Microscopy Images.
Computer
Peter Bajcsy, Antoine Vandecreme, Julien Amelot, Joe Chalfoun, Michael Majurski, Mary Brady
2016 — conf
Methodology for Increasing the Measurement Accuracy of Image Features.
CVPR Workshops
Michael Majurski, Joe Chalfoun, Steven P. Lund, Peter Bajcsy, Mary Brady
2015 — conf
MIST: Microscopy Image Stitching Tool.
BIBM
Joe Chalfoun, Michael Majurski, Timothy Blattner, Walid Keyrouz, Peter Bajcsy, Mary Brady
2015 J jnl
Survey statistics of automated segmentations applied to optical imaging of mammalian cells.
BMC Bioinform.
Peter Bajcsy, Antonio Cardone, Joe Chalfoun, Michael Halter, Derek Juba, Marcin Kociolek, Michael Majurski, Adele P. Peskin, Carl G. Simon, Mylene Simon, Antoine Vandecreme, Mary Brady
2014 J jnl
FogBank: a single cell segmentation across multiple cell lines and image modalities.
BMC Bioinform.
Joe Chalfoun, Michael Majurski, Alden Dima, Christina H. Stuelten, Adele P. Peskin, Mary Brady