Kortmann, Karl-Philipp

1. Calibration of Model Uncertainty for Dropout Variational Inference
   2020/06/20 by Max-Heinrich Laves, Sontje Ihler, Laves, Max-Heinrich +5 · 6 citations
   Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML)
2. Well-calibrated Model Uncertainty with Temperature Scaling for Dropout Variational Inference
   2019/09/30 by Max-Heinrich Laves, Sontje Ihler, Laves, Max-Heinrich +5 · 4 citations
   Computer Science · Physics and Astronomy · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks
3. Autoencoder-based Representation Learning from Heterogeneous\n Multivariate Time Series Data of Mechatronic Systems
   2021/04/06 by Karl-Philipp Kortmann, Moritz Fehsenfeld, Kortmann, Karl-Philipp +3 · 1 citation
   Computer Science · Engineering · #68T05 (Primary) 62H12 #68T07 (Secondary) #Advanced Chemical Sensor Technologies #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Electrical engineering #J.2 #Machine Learning (cs.LG) #Signal Processing (eess.SP) #Time Series Analysis and Forecasting #electronic engineering #information engineering