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| ||'''1st meeting:''' || TBA || ||'''Presentations:''' || TBA || |
||'''1st meeting:''' || 21.04.2023, time TBD || ||'''Presentations:''' || Bi-weekly || |
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| During the first meeting we will collaboratively choose a focus area within XAI. Thereafter, students can select from a pool of papers that have been selected by the lecturer. | Students can select from a pool of papers from a given curriculum. With the help of their supervisors, students will read, understand, evaluate and present selected research papers on methods in XAI. Students will present their topic in a 15-20 min talk in English. Each talk will be followed by a discussion by the participants. |
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| With the help of their supervisors, students will read, understand, evaluate and present selected research papers on methods in XAI. Students will present their topic in a 15-20 min talk (+discussion) in English. | Presence at the kick-off meeting is required. |
Seminar Explainable Machine Learning
1st meeting: |
21.04.2023, time TBD |
Presentations: |
Bi-weekly |
Responsible: |
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Lecturer |
Lorenz Linhardt |
Contact |
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Room: |
Mar 4033 |
Language |
English |
In this seminar, foundational and current research in the area of explainable machine learning (XAI) will be disseminated.
Students can select from a pool of papers from a given curriculum. With the help of their supervisors, students will read, understand, evaluate and present selected research papers on methods in XAI. Students will present their topic in a 15-20 min talk in English. Each talk will be followed by a discussion by the participants.
Presence at the kick-off meeting is required.