Pilz, Jürgen

1. Variational Inference to Measure Model Uncertainty in Deep Neural Networks
   2019/02/26 by Posch, Konstantin, Steinbrener, Jan, Pilz, Jürgen · 1 citation
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
2. Correlated Parameters to Accurately Measure Uncertainty in Deep Neural\n Networks
   2019/04/02 by Konstantin Posch, Posch, Konstantin, Jürgen Pilz +1 · 1 citation
   Computer Science · #Adversarial Robustness in Machine Learning #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
3. From a Point Cloud to a Simulation Model: Bayesian Segmentation and\n Entropy based Uncertainty Estimation for 3D Modelling
   2021/02/04 by Christina Petschnigg, Petschnigg, Christina, Markus Spitzner +5 · 1 citation
   Earth and Planetary Sciences · Engineering · Environmental Science · #3D Surveying and Cultural Heritage #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Manufacturing Process and Optimization #Remote Sensing and LiDAR Applications