32 citations · 122 across the 26 of their papers we have counts for
4 papers · 1 filter
HyDI: A hybrid Deep Learning-Inductive Logic Programming ensemble for multi-label classification
Simon Flügel, Till Mossakowski
While attaining remarkable results for many applications, Deep Learning models are notoriously difficult to explain. This work introduces HyDI, a hybrid ensemble architecture for h…
NeSyCat Torch: A Differentiable Tensor Implementation of Categorical Semantics for Neurosymbolic Learning
Daniel Romero Schellhorn, Till Mossakowski, Björn Gehrke
Neurosymbolic semantics is fragmented: classical, fuzzy, probabilistic and neural systems each define truth by their own inductive rules. NeSyCat, extending ULLER, subsumes them un…
NeSyCat: A Monad-Based Categorical Semantics of the Neurosymbolic ULLER Framework
Daniel Romero Schellhorn, Till Mossakowski
ULLER (Unified Language for LEarning and Reasoning) offers a unified first-order logic (FOL) syntax, enabling its knowledge bases to be used directly across a wide range of neurosy…
The Possibility of Artificial Intelligence Becoming a Subject and the Alignment Problem
Till Mossakowski, Helena Esther Grass
The prospect of Artificial General Intelligence (AGI) is increasingly driving institutional decisions, and alignment of AGI is a hard problem. The currently dominant AI alignment s…