collaborators

5 papers

cs.LO2026

Vancomycert: A Certified Neuro-Symbolic Drug Delivery System (Case Study)

Alistair Sirman, Fleur Conway, Jessica Ciupa +7

Neural network controllers for autonomous decision-making are well-established in cyber-physical systems, yet their deployment in safety-critical healthcare settings remains largel…

cs.PL2026

Compositional Neural-Cyber-Physical System Verification in the Interactive Theorem Prover of Your Choice

Matthew L. Daggitt, Ekaterina Komendantskaya, Alistair Sirman +4

Formal verification of neuro-symbolic cyber-physical systems, such as drones, medical devices and robots, is complicated. Neural components must be trained to be optimal with respe…

cs.LO2026

A Foundation for Differentiable Logics using Dependent Type Theory

Reynald Affeldt, Alessandro Bruni, Ekaterina Komendantskaya +2

Differentiable logics are a family of quantitative logics originated in the machine learning literature. Because of their origin, differentiable logics often come equipped with ana…

cs.LO2024

Skolemisation for Intuitionistic Linear Logic

Alessandro Bruni, Eike Ritter, Carsten Schürmann

Focusing is a known technique for reducing the number of proofs while preserving derivability. Skolemisation is another technique designed to improve proof search, which reduces th…

cs.LO2024

Taming Differentiable Logics with Coq Formalisation

Reynald Affeldt, Alessandro Bruni, Ekaterina Komendantskaya +2

For performance and verification in machine learning, new methods have recently been proposed that optimise learning systems to satisfy formally expressed logical properties. Among…