5 citations · 5 across the 2 of their papers we have counts for
2 papers
cs.LG2025
Integrating Inverse and Forward Modeling for Sparse Temporal Data from Sensor Networks
Julian Vexler, Björn Vieten, Martin Nelke +1
We present CavePerception, a framework for the analysis of sparse data from sensor networks that incorporates elements of inverse modeling and forward modeling. By integrating mach…
cs.LG2021★ 5 cited
Deep Neural Networks to Recover Unknown Physical Parameters from Oscillating Time Series
Antoine Garcon, Julian Vexler, Dmitry Budker +1
Deep neural networks (DNNs) are widely used in pattern-recognition tasks for which a human comprehensible, quantitative description of the data-generating process, e.g., in the for…