Augmenting Salient Foreground Detection using Fiedler Vector for Multi-Object Segmentation. - Michal Kucer; Nathan D. Cahill; Alexander C. Loui; David W. Messinger (Computational Imaging, 2017)

Aesthetic Inference for Smart Mobile Devices. - Michal Kucer; David W. Messinger (WACV, 2018)

Leveraging Expert Feature Knowledge for Predicting Image Aesthetics. - Michal Kucer; Alexander C. Loui; David W. Messinger (IEEE Trans. Image Process., 2018)

A Detect-Then-Retrieve Model for Multi-Domain Fashion Item Retrieval. - Michal Kucer; Naila Murray (CVPR Workshops, 2019)

On visual self-supervision and its effect on model robustness. - Michal Kucer; Diane Oyen; Garrett T. Kenyon (CoRR, 2021)

Robustness to Label Noise Depends on the Shape of the Noise Distribution. - Diane Oyen; Michal Kucer; Nicolas W. Hengartner; Har Simrat Singh (NeurIPS, 2022)

DeepPatent: Large scale patent drawing recognition and retrieval. - Michal Kucer; Diane Oyen; Juan Castorena; Jian Wu 006 (WACV, 2022)

Robustness to Label Noise Depends on the Shape of the Noise Distribution in Feature Space. - Diane Oyen; Michal Kucer; Nick Hengartner; Har Simrat Singh (CoRR, 2022)

DeepPatent2: A Large-Scale Benchmarking Corpus for Technical Drawing Understanding. - Kehinde Ajayi; Xin Wei; Martin Gryder; Winston Shields; Jian Wu 006; Shawn M. Jones; Michal Kucer; Diane Oyen (CoRR, 2023)

Energy-Based Models Trained with Equilibrium Propagation are Inherently Robust. - Siddharth Mansingh; Michal Kucer; Garrett T. Kenyon; Juston Moore; Michael A. Teti (ICMLA, 2024)

How Robust Are Energy-Based Models Trained With Equilibrium Propagation? - Siddharth Mansingh; Michal Kucer; Garrett T. Kenyon; Juston Moore; Michael A. Teti (CoRR, 2024)

Posterior Mean Matching: Generative Modeling through Online Bayesian Inference. - Sebastian Salazar; Michal Kucer; Yixin Wang; Emily M. Casleton; David M. Blei (AISTATS, 2025)

The Trust Calibration Maturity Model for Characterizing and Communicating Trustworthiness of AI Systems. - Scott T. Steinmetz; Asmeret Naugle; Paul Schutte; Matthew Sweitzer; Alex Washburne; Lisa Linville; Daniel Krofcheck; Michal Kucer; Samuel Myren (CoRR, 2025)

LLM-Assisted Translation of Legacy FORTRAN Codes to C++: A Cross-Platform Study. - Nishath Rajiv Ranasinghe; Shawn M. Jones; Michal Kucer; Ayan Biswas; Daniel O'Malley; Alexander Most; Selma Liliane Wanna; Ajay Sreekumar (CoRR, 2025)