1 citations · 2 across the 8 of their papers we have counts for
5 papers · 1 filter
Normalized Probabilistic Semantics is Not Associative
Elena Di Lavore, Mario Román, Márk Széles
Normalization, , fails to form a distributive law, forcing the composition of normalized stochastic kernels to be non-associative. We introduce a first norma…
Order in Partial Markov Categories
Elena Di Lavore, Mario Román, Paweł Sobociński +1
Partial Markov categories are a recent framework for categorical probability theory that provide an abstract account of partial probabilistic computation with updating semantics. I…
Deriving Program Logics from Distributive Monoidal Categories
Filippo Bonchi, Elena Di Lavore, Mario Román +1
We derive multiple program logics - including correctness, incorrectness, and relational Hoare logic - from the axioms of imperative categories: uniformly traced distributive copy-…
Timing via Pinwheel Double Categories
Elena Di Lavore, Mario Román
We discuss string diagrams for timed process theories -- represented by duoidally-graded symmetric strict monoidal categories -- built upon the string diagrams of pinwheel double c…
Partial Markov Categories
Elena Di Lavore, Mario Román, Paweł Sobociński
We introduce partial Markov categories as a synthetic framework for synthetic probabilistic inference, blending the work of Cho and Jacobs, Fritz, and Golubtsov on Markov categorie…