10 citations · 13 across the 3 of their papers we have counts for
3 papers
Filtered Manifold Alignment
Stefan Dernbach, Don Towsley
Domain adaptation is an essential task in transfer learning to leverage data in one domain to bolster learning in another domain. In this paper, we present a new semi-supervised ma…
Quantum Walk Inspired Neural Networks for Graph-Structured Data
Stefan Dernbach, Arman Mohseni-Kabir, Siddharth Pal +2
In recent years, new neural network architectures designed to operate on graph-structured data have pushed the state-of-the-art in the field. A large set of these architectures uti…
Deep Reinforcement Learning With Macro-Actions
Ishan P. Durugkar, Clemens Rosenbaum, Stefan Dernbach +1
Deep reinforcement learning has been shown to be a powerful framework for learning policies from complex high-dimensional sensory inputs to actions in complex tasks, such as the At…