Kekić, Armin
- Nonparametric Identifiability of Causal Representations from Unknown Interventions
2023/06/01 by von Kügelgen, Julius, Besserve, Michel, Wendong, Liang +5 · 17 citations
#68T05 #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #I.2.6 #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Causal Component Analysis
2023/05/26 by Wendong Liang, Wendong, Liang, Armin Kekić +11 · 12 citations
Chemistry · Computer Science · Engineering · #Artificial Intelligence (cs.AI) #Blind Source Separation Techniques #Electrochemical Analysis and Applications #FOS: Computer and information sciences #Fault Detection and Control Systems #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Deep Learning based Forecasting: a case study from the online fashion industry
2023/05/23 by Manuel Kunz, Stefan Birr, Kunz, Manuel +31 · 1 voice · 4 citations
Decision Sciences · #Advanced Statistical Process Monitoring #Forecasting Techniques and Applications #cs.AI #cs.LG
- DCI-ES: An Extended Disentanglement Framework with Connections to Identifiability
2022/10/01 by Cian Eastwood, Eastwood, Cian, Andrei Liviu Nicolicioiu +11 · 2 citations
Computer Science · Materials Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Materials Science
- Targeted Reduction of Causal Models
2023/11/30 by Armin Kekić, Kekić, Armin, Bernhard Schölkopf +3 · 3 citations
Computer Science · #Bayesian Modeling and Causal Inference #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)