2 citations · 2 across the 3 of their papers we have counts for
3 papers
On the Relationship Between RNN Hidden State Vectors and Semantic Ground Truth
Edi Muškardin, Martin Tappler, Ingo Pill +2
We examine the assumption that the hidden-state vectors of recurrent neural networks (RNNs) tend to form clusters of semantically similar vectors, which we dub the clustering hypot…
Reinforcement Learning under Partial Observability Guided by Learned Environment Models
Edi Muskardin, Martin Tappler, Bernhard K. Aichernig +1
In practical applications, we can rarely assume full observability of a system's environment, despite such knowledge being important for determining a reactive control system's pre…
Synthesizing Adaptive Test Strategies from Temporal Logic Specifications
Roderick Bloem, Goerschwin Fey, Fabian Greif +4
Constructing good test cases is difficult and time-consuming, especially if the system under test is still under development and its exact behavior is not yet fixed. We propose a n…