397 citations · 968 across the 32 of their papers we have counts for
3 papers · 1 filter
Improving Graph Neural Networks with Learnable Propagation Operators
Moshe Eliasof, Lars Ruthotto, Eran Treister
Graph Neural Networks (GNNs) are limited in their propagation operators. In many cases, these operators often contain non-negative elements only and are shared across channels, lim…
A Neural Network Approach for Stochastic Optimal Control
Xingjian Li, Deepanshu Verma, Lars Ruthotto
We present a neural network approach for approximating the value function of high-dimensional stochastic control problems. Our training process simultaneously updates our value fun…
Multivariate Quantile Function Forecaster
Kelvin Kan, François-Xavier Aubet, Tim Januschowski +4
We propose Multivariate Quantile Function Forecaster (MQF), a global probabilistic forecasting method constructed using a multivariate quantile function and investigate its app…