8 citations · 13 across the 8 of their papers we have counts for
3 papers · 1 filter
Emulating Aerosol Microphysics with Machine Learning
Paula Harder, Duncan Watson-Parris, Dominik Strassel +3
Aerosol particles play an important role in the climate system by absorbing and scattering radiation and influencing cloud properties. They are also one of the biggest sources of u…
Scalable Hyperparameter Optimization with Lazy Gaussian Processes
Raju Ram, Sabine Müller, Franz-Josef Pfreundt +2
Most machine learning methods require careful selection of hyper-parameters in order to train a high performing model with good generalization abilities. Hence, several automatic s…
GradVis: Visualization and Second Order Analysis of Optimization Surfaces during the Training of Deep Neural Networks
Avraam Chatzimichailidis, Franz-Josef Pfreundt, Nicolas R. Gauger +1
Current training methods for deep neural networks boil down to very high dimensional and non-convex optimization problems which are usually solved by a wide range of stochastic gra…