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| aira:start [2026/06/21 08:05] – [Schedule Spring 2026] mtm | aira:start [2026/10/15 00:13] (current) – [2026-06-18] mzk | ||
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| AIRA also formally exists as a PhD course in the Jagiellonian University in the Technical Computer Science program as one of the foundational seminars ([WFAIS.SDSP-IT001.01] and [WFAIS.SDSP-IT001.02]). The students are invited to presents their research plans, as well as to share the progress of their PhD projects. Furthemore, we welcome PhD students from other programs in the JU who are interested in AI. PhD students can participate actively presenting their work and perspectives; | AIRA also formally exists as a PhD course in the Jagiellonian University in the Technical Computer Science program as one of the foundational seminars ([WFAIS.SDSP-IT001.01] and [WFAIS.SDSP-IT001.02]). The students are invited to presents their research plans, as well as to share the progress of their PhD projects. Furthemore, we welcome PhD students from other programs in the JU who are interested in AI. PhD students can participate actively presenting their work and perspectives; | ||
| - | **Please save your Thursdays between 3:15-4:45 PM Warsaw Time on MS teams.** | + | **Please save your Thursdays between 3:30-5:00 PM Warsaw Time on MS teams.** |
| The program will be published at the https:// | The program will be published at the https:// | ||
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| Scientific coordination: | Scientific coordination: | ||
| - | Scientific secretaries [[https:// | + | Scientific secretaries [[https:// |
| Contact for enrollment of the JU PhD students [[https:// | Contact for enrollment of the JU PhD students [[https:// | ||
| + | |||
| + | ===== Schedule Autumn 2027 ===== | ||
| + | * **[PHD TRACK] 2026.10.30**: | ||
| + | * Meeting link: | ||
| + | * Recording: | ||
| + | * Presentation slides: | ||
| + | |||
| + | |||
| + | * **[INTRO] 2026.10.08**: | ||
| + | * Meeting link: TDA | ||
| + | * Recording: | ||
| + | * Presentation slides: | ||
| ===== Schedule Spring 2026 ===== | ===== Schedule Spring 2026 ===== | ||
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| + | ==== 2026-10-15 ==== | ||
| + | <WRAP column 15%> | ||
| + | {{ : | ||
| + | </ | ||
| + | |||
| + | <WRAP column 75%> | ||
| + | |||
| + | **Speaker**: | ||
| + | |||
| + | **Title**: Group counterfactual explanations: | ||
| + | |||
| + | **Abstract**: | ||
| + | Existing methods for group counterfactual explanations often fail to generalize, rely on strict assumptions, | ||
| + | |||
| + | **Biogram**: | ||
| + | Enrique Valero Leal is a final-year ELLIS PhD student at both the Technical University of Madrid and Ludwig-Maximilians University of Munich. His research focuses on interpretable machine learning, | ||
| + | </ | ||
| + | <WRAP clear></ | ||
| ==== 2026-06-18 ==== | ==== 2026-06-18 ==== | ||