| 2025 | ICML | LapSum - One Method to Differentiate Them All: Ranking, Sorting and Top-k Selection. | Lukasz Struski, Michal B. Bednarczyk, Igor T. Podolak, Jacek Tabor |
| 2022 | ICIP | Batch Size Reconstruction-Distribution Trade-Off In Kernel Based Generative Autoencoders. | Szymon Knop, Przemyslaw Spurek, Marcin Mazur, Jacek Tabor, Igor T. Podolak |
| 2019 | ICLR | Distribution-Interpolation Trade off in Generative Models. | Damian Lesniak, Igor Sieradzki, Igor T. Podolak |
| 2014 | ECAI | Adaptive Active Learning as a Multi-armed Bandit Problem. | Wojciech M. Czarnecki, Igor T. Podolak |
| 2012 | ICAISC | Application of Hierarchical Classifier to Minimal Synchronizing Word Problem. | Igor T. Podolak, Adam Roman, Dariusz Jedrzejczyk |
| 2011 | HAIS | Classifier Ensembles for Virtual Concept Drift - The DEnBoost Algorithm. | Kamil Bartocha, Igor T. Podolak |
| 2011 | HAIS | Risk Estimation for Hierarchical Classifier. | Igor T. Podolak, Adam Roman |
| 2008 | SOFSEM | Algorithm for Intelligent Prediction of Requests in Business Systems. | Piotr Kalita, Igor T. Podolak, Adam Roman, Bartosz Bierkowski |
| 2005 | PPAM | Hierarchical Classifier. | Igor T. Podolak, Slawomir Biel, Marcin Bobrowski |
| 2000 | ICPR | A Hybrid Neural System for Phonematic Transformation. | Igor T. Podolak, Seong-Whan Lee, Andrzej Bielecki, Elzbieta Majkut |