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--- aira:start [2025/12/04 16:30] – [2025-12-04] mzk
+++ aira:start [2025/12/15 13:55] (current) – [Schedule Autumn 2025] mtm
@@ Line 22: / Line 22: @@
 ===== Schedule Autumn 2025 =====
-  * **[RPHD TRACK] 2025.12.11**: Anna Sofia Lippolis, PhD Candidate @ University of Bologna, [[#section20251211|Enhancing Knowledge Engineering with LLMs.]]
+  * **[RESEARCH TRACK] 2025.12.18**: Maciej Zięba, Associate Professor @ Wrocław University of Technology, [[#section20251218|Normalizing Flows - fundamental concepts and applications in counterfactual explanations.]]
-    * Meeting link:[[https://teams.microsoft.com/meet/35848296892369?p=0t3yTogmgGOsSwYeDO|MS Teams]]
+    * Meeting link:[[https://teams.microsoft.com/meet/34011375285219?p=OD1aOgi4cwK5D4JUBN|MS Teams]]
     * Recording:  TDA
     * Presentation slides:  TDA
+  * **[PHD TRACK] 2025.12.11**: Anna Sofia Lippolis, PhD Candidate @ University of Bologna, [[#section20251211|Enhancing Knowledge Engineering with LLMs.]]
+    * Meeting link: [[https://teams.microsoft.com/meet/35848296892369?p=0t3yTogmgGOsSwYeDO|MS Teams]]
+    * Recording: [[https://ujchmura.sharepoint.com/:v:/t/Section_495645_1/IQDOFSfeEBkISrAKy1_qRsl3AVGI18eysApxCWWdZqbUjnM?e=vHo3Li|View]]
+    * Presentation slides: TDA
   * **[PHD TRACK] 2025.12.04**: Bartłomiej Małkus, PhD Candidate @ Jagiellonian University, [[#section20251204|Towards Explainable Meta-Models for Ensembles of Financial Alphas.]]
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 ===== Presentation details =====
+==== 2025-12-18 ====
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+**Speaker**: Maciej Zięba, Associate Professor @ Wrocław University of Technology
+**Title**: Normalizing Flows - fundamental concepts and applications in counterfactual explanations.
+**Abstract**:
+During the talk, I will begin with a brief introduction to generative flow-based models. Then, I will present practical examples demonstrating how this class of models can be applied in real-world scenarios. I will introduce flows as probabilistic regression models, highlighting their versatility as plug-in components and their generative capabilities for point clouds. I will also discuss how we applied flow-based models to a few-shot regression problem. Finally, I will illustrate how normalizing flows can be used to address counterfactual explanation tasks.
+**Biogram**:
+Maciej Zięba is a research scientist at Tooploox and an Associate Professor at Wroclaw University of Science and Technology, where he received a Ph.D. degree in computer science and a master's degree in economics. He also obtained a master's degree in computer science at the Blekinge Institute of Technology in Sweden. In 2017, he was a visiting scholar at the University of Wollongong (Australia). His research is directed towards deep learning, especially generative models and representation learning. He was the co-author of a variable number of research papers published in influential journals and presented at the top ML conferences, including NeurIPS, AAAI, ICML, CVPR, and ICLR. He is also leading genwro.ai research group (https://genwro.ai.pwr.edu.pl/) at Wroclaw University of Science and Technology.
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