19333411        
        
          Seminar        
      
      WiSe 22/23: Seminar: Explainable AI for Data Science
Grégoire Montavon
Kommentar
Explainable AI is a recent and growing subfield of machine learning (ML) that aims to bring transparency into ML models without sacrificing their predictive accuracy. This seminar will explore current research on the use of Explainable AI for extracting insights from large datasets of interest. Use cases in biomedicine, chemistry and earth sciences will be covered.
Students will select a few papers from a pool of thematically relevant research papers, which they will read and present over the course of the semester.
Schließen15 Termine
Regelmäßige Termine der Lehrveranstaltung
                  
                    
                      Fr, 21.10.2022 14:00 - 16:00                    
                        
    
    
                  
                  
                    
                      Fr, 28.10.2022 14:00 - 16:00                    
                        
    
    
                  
                  
                    
                      Fr, 04.11.2022 14:00 - 16:00                    
                        
    
    
                  
                  
                    
                      Fr, 11.11.2022 14:00 - 16:00                    
                        
    
    
                  
                  
                    
                      Fr, 18.11.2022 14:00 - 16:00                    
                        
    
    
                  
                  
                    
                      Fr, 25.11.2022 14:00 - 16:00                    
                        
    
    
                  
                  
                    
                      Fr, 02.12.2022 14:00 - 16:00                    
                        
    
    
                  
                  
                    
                      Fr, 09.12.2022 14:00 - 16:00                    
                        
    
    
                  
                  
                    
                      Fr, 16.12.2022 14:00 - 16:00                    
                        
    
    
                  
                  
                    
                      Fr, 13.01.2023 14:00 - 16:00                    
                        
    
    
                  
                  
                    
                      Fr, 20.01.2023 14:00 - 16:00                    
                        
    
    
                  
                  
                    
                      Fr, 27.01.2023 14:00 - 16:00                    
                        
    
    
                  
                  
                    
                      Fr, 03.02.2023 14:00 - 16:00                    
                        
    
    
                  
                  
                    
                      Fr, 10.02.2023 14:00 - 16:00                    
                        
    
    
                  
                  
                    
                      Fr, 17.02.2023 14:00 - 16:00                    
                        
    
    
                  
                
              