Seminar Explainable AI for Data Science
Information about the course
cf. here
Presenter-paper matching:
- Asude Konuk: NeuralHydrology - Interpreting LSTMs in Hydrology
- Linus Buddrus: Interpretable Deep Learning in Drug Discovery
- Jakob Knitter: Interpretable deep learning in drug discovery
- Doruntina Murtezaj: Explainable machine learning for scientific insights and discoveries
- Wenli Xu: Explainable machine learning for scientific insights and discoveries
- Weihang Li: Obtaining genetics insights from deep learning via explainable artificial intelligence
- Rui Zhao: Obtaining genetics insights from deep learning via explainable artificial intelligence
Presentation day (Friday 3 February)
2pm-4pm in room: T9/SR 006 Seminarraum (Takustr. 9)
- 14:00-14:25: Wenli Xu: Explainable ML for scientific insights and discoveries
- 14:25-14:50: Asude Konuk: NeuralHydrology - Interpreting LSTMs in Hydrology
- 14:50-15:15: Linus Buddrus: Interpretable Deep Learning in Drug Discovery
- 15:15-15:40: Weihang Li: Obtaining genetics insights from deep learning via XAI
4pm-6pm in room: T9/055 Seminarraum (Takustr. 9)
- 16:00-16:25: Doruntina Murtezaj: Explainable ML for scientific insights and discoveries
- 16:25-16:50: Jakob Knitter: Interpretable deep learning in drug discovery
- 16:50-17:15: Rui Zhao: Obtaining genetics insights from deep learning via XAI
- 17:15-17:40: Wenli Xu: Artificial intelligence in critical care medicine