Event
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Event
Semester:
Winter term
2023
2.01.5452 Current Topics in Interpretable/Explainable AI (XAI) -
Event date(s) | room
- Montag, 16.10.2023 8:00 - 10:00 | V03 0-M018
- Montag, 23.10.2023 8:00 - 10:00 | V03 0-M018
- Montag, 30.10.2023 8:00 - 10:00 | V03 0-M018
- Montag, 6.11.2023 8:00 - 10:00 | V03 0-M018
- Montag, 13.11.2023 8:00 - 10:00 | V03 0-M018
- Montag, 20.11.2023 8:00 - 10:00 | V03 0-M018
- Montag, 27.11.2023 8:00 - 10:00 | V03 0-M018
- Montag, 4.12.2023 8:00 - 10:00 | V03 0-M018
- Montag, 11.12.2023 8:00 - 10:00 | V03 0-M018
- Montag, 18.12.2023 8:00 - 10:00 | V03 0-M018
- Montag, 8.1.2024 8:00 - 10:00 | V03 0-M018
- Montag, 15.1.2024 8:00 - 10:00 | V03 0-M018
- Montag, 22.1.2024 8:00 - 10:00 | V03 0-M018
- Montag, 29.1.2024 8:00 - 10:00 | V03 0-M018
Description
This seminar will cover different aspects of interpretable/explainable AI (XAI) ranging from inherently interpretable models over perturbation-based methods, such as Shapley values, to gradient-/decomposition-based approaches and their quantitative evaluation. Going beyond conventional single-feature attribution methods, we will also discuss current concept-based attribution methods, ways to assess feature interactions and connections to causality.
Lecturers
SWS
2
Lehrsprache
englisch