MWesselkamp
PhD student, concerned with modeling and forecasting environmental systems in various ways.
University or FreiburgFreiburg
Pinned Repositories
land-surface-emulation
Machine learning emulators for land surface model-based forecasting
spatially-varying-coefficient-model
Identifying potential provenances with spatially-varying coefficient models
PiNNs
Process-guided neural networks as a hybrid approach to advance prediction in ecosystem ecology and beyond.
Advanced-Statistics
Lecture material for Advanced Statistics - (bayesian generalised) mixed effects models, class taught at the University of Freiburg.
approximate-bayesian-computation
parametrization of a dummie movement model
BW-HPC-Usage
Hands-on Demonstration for BW-NEMO HPC Usage
domain-adaptation
Process-guided transfer learning with sparse data.
master-files
MWesselkamp
Adding a profile readme...
physics_guided_nn
MWesselkamp's Repositories
MWesselkamp/MWesselkamp
Adding a profile readme...
MWesselkamp/Advanced-Statistics
Lecture material for Advanced Statistics - (bayesian generalised) mixed effects models, class taught at the University of Freiburg.
MWesselkamp/approximate-bayesian-computation
parametrization of a dummie movement model
MWesselkamp/BW-HPC-Usage
Hands-on Demonstration for BW-NEMO HPC Usage
MWesselkamp/land-surface-emulation
Machine learning emulators for land surface model-based forecasting
MWesselkamp/Ricker
MWesselkamp/spatially-varying-coefficient-model
Identifying potential provenances with spatially-varying coefficient models
MWesselkamp/physics_guided_nn
MWesselkamp/variance-partitioning-xai
Unexplained variance detection in neural network predictions
MWesselkamp/domain-adaptation
Process-guided transfer learning with sparse data.
MWesselkamp/master-files