2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.LG2026
Joint distribution of upstream runoff governs downstream river-discharge prediction uncertainty in distributed ML models
Karan Ruparell, Tristan Hascoet, Takemasa Miyoshi +4
Uncertainty quantification of hydrological predictions is necessary to inform operational decisions. Recent generative machine-learning methods have advanced probabilistic streamfl…
cs.CV2023★ 2 cited
Neural Fields for Interactive Visualization of Statistical Dependencies in 3D Simulation Ensembles
Fatemeh Farokhmanesh, Kevin Höhlein, Christoph Neuhauser +4
We present the first neural network that has learned to compactly represent and can efficiently reconstruct the statistical dependencies between the values of physical variables at…