10 citations · 11 across the 3 of their papers we have counts for
3 papers
cs.RO2025★ 1 cited
Spiking Neural Networks for Continuous Control via End-to-End Model-Based Learning
Justus Huebotter, Pablo Lanillos, Marcel van Gerven +1
Despite recent progress in training spiking neural networks (SNNs) for classification, their application to continuous motor control remains limited. Here, we demonstrate that full…
cs.LG2025
Probabilistic Forecasting via Autoregressive Flow Matching
Ahmed ElGazzar, Marcel van Gerven
In this work, we propose FlowTime, a generative model for probabilistic forecasting of multivariate timeseries data. Given historical measurements and optional future covariates, w…
stat.ML2020★ 10 cited
Automatic structured variational inference
Luca Ambrogioni, Kate Lin, Emily Fertig +4
Stochastic variational inference offers an attractive option as a default method for differentiable probabilistic programming. However, the performance of the variational approach…