Lisa Barthel et al
We formalise Bisping and Jansen's weak spectroscopy game, which can be used to characterize and decide a hierarchy of behavioral equivalences for systems with internal behavior.
www.isa-afp.org/entries/Weak...
Lisa Barthel et al
We formalise Bisping and Jansen's weak spectroscopy game, which can be used to characterize and decide a hierarchy of behavioral equivalences for systems with internal behavior.
www.isa-afp.org/entries/Weak...
RJ Colvin et al
We extend the existing rely-guarantee library with flexible syntax, data-invariant support, etc.
We apply our library to three queue locks: the
Abstract Queue Lock, the Ticket Lock, and the Circular Buffer Lock.
www.isa-afp.org/entries/RG_L...
RJ Colvin et al
We extend the existing rely-guarantee library with flexible syntax, data-invariant support, etc.
We apply our library to three queue locks: the
Abstract Queue Lock, the Ticket Lock, and the Circular Buffer Lock.
www.isa-afp.org/entries/RG_L...
by A Faber
He formally verifies the Discrete Upper Confidence Bound (UCB) algorithm, focusing on its probabilistic guarantees and regret bounds. The work explores verification of discrete-time bandit models.
www.isa-afp.org/entries/Disc...
by A Faber
He formally verifies the Discrete Upper Confidence Bound (UCB) algorithm, focusing on its probabilistic guarantees and regret bounds. The work explores verification of discrete-time bandit models.
www.isa-afp.org/entries/Disc...
T Lemke & T Nipkow
Let L be a language, G a cfg and Pre*(L) the set of all predecessors of words in L. If L is regular so is Pre*(L). We formalize 2 algorithms to compute Pre*(L) for regular L.
www.isa-afp.org/entries/Pre_...
T Lemke & T Nipkow
Let L be a language, G a cfg and Pre*(L) the set of all predecessors of words in L. If L is regular so is Pre*(L). We formalize 2 algorithms to compute Pre*(L) for regular L.
www.isa-afp.org/entries/Pre_...
A Brucker & A Stell
The use of deep learning is constrained by the lack of verification techniques. We address this issue by formalizing an important class of neural networks, feed-forward neural networks, in Isabelle.
www.isa-afp.org/entries/Neur...
A Brucker & A Stell
The use of deep learning is constrained by the lack of verification techniques. We address this issue by formalizing an important class of neural networks, feed-forward neural networks, in Isabelle.
www.isa-afp.org/entries/Neur...
youtu.be/YO-LUhUxtFc
youtu.be/YO-LUhUxtFc
lawrencecpaulson.github.io/2025/11/02/W...
lawrencecpaulson.github.io/2025/11/02/W...
by M Eberl
Formalises concepts to ease manipulation of paths. Provides the path tactic, which simplifies some proof obligations for composite paths, eg decomposing integrals on a composite path.
www.isa-afp.org/entries/Path...
by M Eberl
Formalises concepts to ease manipulation of paths. Provides the path tactic, which simplifies some proof obligations for composite paths, eg decomposing integrals on a composite path.
www.isa-afp.org/entries/Path...