2 papers
cs.LO2025
GradSTL: Comprehensive Signal Temporal Logic for Neurosymbolic Reasoning and Learning
Mark Chevallier, Filip Smola, Richard Schmoetten +1
We present GradSTL, the first fully comprehensive implementation of signal temporal logic (STL) suitable for integration with neurosymbolic learning. In particular, GradSTL can suc…
cs.AI2025
Formally Verified Neurosymbolic Trajectory Learning via Tensor-based Linear Temporal Logic on Finite Traces
Mark Chevallier, Filip Smola, Richard Schmoetten +1
We present a novel formalisation of tensor semantics for linear temporal logic on finite traces (LTLf), with formal proofs of correctness carried out in the theorem prover Isabelle…