Bounded proofs are convenient to use due to the high degree of automatio...
The concept of updating a probability distribution in the light of new
e...
VeriFast is a powerful tool for verification of various correctness
prop...
We propose an approach for modular verification of programs written in a...
We report on intermediate results of – to the best of our knowledge – th...
We report on intermediate results of our research on reasoning about liv...
VeriFast is a prototype tool based on separation logic for modular
verif...
Rust is a modern systems programming language whose type system guarante...
A sufficient statistic is a deterministic function that captures an esse...
The concept of updating (or conditioning or revising) a probability
dist...
Markov categories, having tensors with copying and discarding, provide a...
VeriFast is a powerful tool for verification of various correctness
prop...
A well-known challenge in the semantics of programming languages is how ...
Programs for multiprocessor machines commonly perform busy-waiting for
s...
Programs for multiprocessor machines commonly perform busy-waiting for
s...
Programs for multiprocessor machines commonly perform busy-waiting for
s...
In the theory of coalgebras, trace semantics can be defined in various
d...
A bisimulation for a coalgebra of a functor on the category of sets can ...
Causal functions of sequences occur throughout computer science, from th...
We recently proposed an approach for the specification and modular forma...
Extracting causal relationships from observed correlations is a growing ...
Parameter learning is the technique for obtaining the probabilistic
para...
Updating a probability distribution in the light of new evidence is a ve...
Evidence in probabilistic reasoning may be `hard' or `soft', that is, it...
This paper describes a new algorithm for exact Bayesian inference that i...
This chapter offers an accessible introduction to the channel-based appr...
This article studies (multilayer perceptron) neural networks with an emp...
This paper gives a systematic account of various metrics on probability
...
The notions of disintegration and Bayesian inversion are fundamental in
...
In this paper we discuss the impact of open source on both the security ...