Michal Kucer

17 papers A* 1A 3C 1Journal 10Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Duel-Evolve: Reward-Free Test-Time Scaling via LLM Self-Preferences.
CoRR
Sweta Karlekar, Carolina Zheng, Magnus Saebo, Nicolas Beltran-Velez, Shuyang Yu, John Bowlan, Michal Kucer, David M. Blei
2025 J jnl
LLM-Assisted Translation of Legacy FORTRAN Codes to C++: A Cross-Platform Study.
CoRR
Nishath Rajiv Ranasinghe, Shawn M. Jones, Michal Kucer, Ayan Biswas, Daniel O'Malley, Alexander Most, Selma Liliane Wanna, Ajay Sreekumar
2025 A conf
Posterior Mean Matching: Generative Modeling through Online Bayesian Inference.
AISTATS
Sebastian Salazar, Michal Kucer, Yixin Wang, Emily M. Casleton, David M. Blei
2025 J jnl
SPUS: A Lightweight and Parameter-Efficient Foundation Model for PDEs.
CoRR
Abu Bucker Siddik, Diane Oyen, Alexander Most, Michal Kucer, Ayan Biswas
2025 J jnl
The Trust Calibration Maturity Model for Characterizing and Communicating Trustworthiness of AI Systems.
CoRR
Scott T. Steinmetz, Asmeret Naugle, Paul Schutte, Matthew Sweitzer, Alex Washburne, Lisa Linville, Daniel Krofcheck, Michal Kucer, Samuel Myren
2024 C conf
Energy-Based Models Trained with Equilibrium Propagation are Inherently Robust.
ICMLA
Siddharth Mansingh, Michal Kucer, Garrett T. Kenyon, Juston Moore, Michael A. Teti
2024 J jnl
How Robust Are Energy-Based Models Trained With Equilibrium Propagation?
CoRR
Siddharth Mansingh, Michal Kucer, Garrett T. Kenyon, Juston Moore, Michael A. Teti
2024 J jnl
Posterior Mean Matching: Generative Modeling through Online Bayesian Inference.
CoRR
Sebastian Salazar, Michal Kucer, Yixin Wang, Emily M. Casleton, David M. Blei
2023 J jnl
DeepPatent2: A Large-Scale Benchmarking Corpus for Technical Drawing Understanding.
CoRR
Kehinde Ajayi, Xin Wei, Martin Gryder, Winston Shields, Jian Wu, Shawn M. Jones, Michal Kucer, Diane Oyen
2022 A conf
DeepPatent: Large scale patent drawing recognition and retrieval.
WACV
Michal Kucer, Diane Oyen, Juan Castorena, Jian Wu
2022 J jnl
Robustness to Label Noise Depends on the Shape of the Noise Distribution in Feature Space.
CoRR
Diane Oyen, Michal Kucer, Nick Hengartner, Har Simrat Singh
2022 A* conf
Robustness to Label Noise Depends on the Shape of the Noise Distribution.
NeurIPS
Diane Oyen, Michal Kucer, Nicolas W. Hengartner, Har Simrat Singh
2021 J jnl
On visual self-supervision and its effect on model robustness.
CoRR
Michal Kucer, Diane Oyen, Garrett T. Kenyon
2019 — conf
A Detect-Then-Retrieve Model for Multi-Domain Fashion Item Retrieval.
CVPR Workshops
Michal Kucer, Naila Murray
2018 A conf
Aesthetic Inference for Smart Mobile Devices.
WACV
Michal Kucer, David W. Messinger
2018 J jnl
Leveraging Expert Feature Knowledge for Predicting Image Aesthetics.
IEEE Trans. Image Process.
Michal Kucer, Alexander C. Loui, David W. Messinger
2017 — conf
Augmenting Salient Foreground Detection using Fiedler Vector for Multi-Object Segmentation.
Computational Imaging
Michal Kucer, Nathan D. Cahill, Alexander C. Loui, David W. Messinger