Patryk Wielopolski

According to our database, Patryk Wielopolski authored at least 9 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Multi-Label Conditional Generation From Pre-Trained Models.

Magdalena Proszewska, Maciej Wolczyk, Maciej Zieba, Patryk Wielopolski, Lukasz Maziarka, Marek Smieja

IEEE Trans. Pattern Anal. Mach. Intell., September, 2024

NodeFlow: Towards End-to-End Flexible Probabilistic Regression on Tabular Data.

Patryk Wielopolski, Oleksii Furman, Maciej Zieba

Entropy, July, 2024

Unifying Perspectives: Plausible Counterfactual Explanations on Global, Group-wise, and Local Levels.

Patryk Wielopolski, Oleksii Furman, Jerzy Stefanowski, Maciej Zieba

CoRR, 2024

Probabilistically Plausible Counterfactual Explanations with Normalizing Flows.

Patryk Wielopolski, Oleksii Furman, Jerzy Stefanowski, Maciej Zieba

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

2023

Modeling Uncertainty in Personalized Emotion Prediction with Normalizing Flows.

Piotr Milkowski, Konrad Karanowski, Patryk Wielopolski, Jan Kocon, Przemyslaw Kazienko, Maciej Zieba

Proceedings of the IEEE International Conference on Data Mining, 2023

TreeFlow: Going Beyond Tree-Based Parametric Probabilistic Regression.

Patryk Wielopolski, Maciej Zieba

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Flow Plugin Network for Conditional Generation.

Patryk Wielopolski, Michal Koperski, Maciej Zieba

Proceedings of the Intelligent Information and Database Systems - 15th Asian Conference, 2023

2022

TreeFlow: Going beyond Tree-based Gaussian Probabilistic Regression.

Patryk Wielopolski, Maciej Zieba

CoRR, 2022

PluGeN: Multi-Label Conditional Generation from Pre-trained Models.

Maciej Wolczyk, Magdalena Proszewska, Lukasz Maziarka, Maciej Zieba, Patryk Wielopolski, Rafal Kurczab, Marek Smieja

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022