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Knowledge Augmented Machine Learning with Applications in Autonomous Driving: A Survey
Maximum Likelihood Uncertainty Estimation: Robustness to Outliers
Zustandsüberwachung mit Regelfahrzeugen
A Two-Stage Learning Architecture That Generates High-Quality Grasps for a Multi-Fingered Hand
Phi-Net: Deep Residual Learning for InSAR Parameters Estimation
Learning Multiplicative Interactions with Bayesian Neural Networks for Visual-Inertial Odometry
Knowledge Augmented Machine Learning with Applications in Autonomous Driving: A Survey
Crash Rate Estimation by Aerial Image Analysis
Visualisierung der internen Prozesse Künstlicher Neuronaler Netze in Virtual Reality
Speeding Up Optimization-based Motion Planning through Deep Learning
SupernoVAE : VAE based kernel PCA for analysis of spatio-temporal Earth data
SupernoVAE : VAE based kernel PCA for analysis of spatio-temporal Earth data
Deep recurrent neural networks for abstractive text summarization
A CNN-Based Coherence-Driven Approach for InSAR Phase Unwrapping
Incremental Skill Learning of Stable Dynamical Systems
Domain Adaption and Fusion for Domain-specific Traffic Sign Detection
Innovation Paths for Machine Learning in Robotics
Uncertainty-Aware Attention Guided Sensor Fusion For Monocular Visual Inertial Odometry