| 2025 | CVPR | Towards Understanding and Quantifying Uncertainty for Text-to-Image Generation. | Gianni Franchi, Nacim Belkhir, Dat Nguyen Trong, Guoxuan Xia, Andrea Pilzer |
| 2024 | ACL | When Good and Reproducible Results are a Giant with Feet of Clay: The Importance of Software Quality in NLP. | Sara Papi, Marco Gaido, Andrea Pilzer, Matteo Negri |
| 2024 | CVPR | Make Me a BNN: A Simple Strategy for Estimating Bayesian Uncertainty from Pre-trained Models. | Gianni Franchi, Olivier Laurent, Maxence Legury, Andrei Bursuc, Andrea Pilzer, Angela Yao |
| 2024 | WACV | Fixing Overconfidence in Dynamic Neural Networks. | Lassi Meronen, Martin Trapp, Andrea Pilzer, Le Yang, Arno Solin |
| 2023 | WACV | Expansion of Visual Hints for Improved Generalization in Stereo Matching. | Andrea Pilzer, Yuxin Hou, Niki Andreas Lopi, Arno Solin, Juho Kannala |
| 2022 | ECCV | Uncertainty-Guided Source-Free Domain Adaptation. | Subhankar Roy, Martin Trapp, Andrea Pilzer, Juho Kannala, Nicu Sebe, Elisa Ricci, Arno Solin |
| 2022 | FUSION | A Look at Improving Robustness in Visual- inertial SLAM by Moment Matching. | Arno Solin, Rui Li, Andrea Pilzer |
| 2019 | CVPR | Refine and Distill: Exploiting Cycle-Inconsistency and Knowledge Distillation for Unsupervised Monocular Depth Estimation. | Andrea Pilzer, Stphane Lathuilire, Nicu Sebe, Elisa Ricci |
| 2017 | CVPR | Viraliency: Pooling Local Virality. | Xavier Alameda-Pineda, Andrea Pilzer, Dan Xu, Nicu Sebe, Elisa Ricci |