84 citations · 90 across the 4 of their papers we have counts for
4 papers
R4Dyn: Exploring Radar for Self-Supervised Monocular Depth Estimation of Dynamic Scenes
Stefano Gasperini, Patrick Koch, Vinzenz Dallabetta +3
While self-supervised monocular depth estimation in driving scenarios has achieved comparable performance to supervised approaches, violations of the static world assumption can st…
Constrained Multi-Objective Optimization for Automated Machine Learning
Steven Gardner, Oleg Golovidov, Joshua Griffin +4
Automated machine learning has gained a lot of attention recently. Building and selecting the right machine learning models is often a multi-objective optimization problem. General…
Autotune: A Derivative-free Optimization Framework for Hyperparameter Tuning
Patrick Koch, Oleg Golovidov, Steven Gardner +3
Machine learning applications often require hyperparameter tuning. The hyperparameters usually drive both the efficiency of the model training process and the resulting model quali…
How slow is slow? SFA detects signals that are slower than the driving force
Wolfgang Konen, Patrick Koch
Slow feature analysis (SFA) is a method for extracting slowly varying driving forces from quickly varying nonstationary time series. We show here that it is possible for SFA to det…