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Paolo Perrone

@paolop@mathstodon.xyz
mastodon 4.7.2
  • Open on mathstodon.xyz

Mathematician & math teacher
University of Oxford

270 Followers
49 Following
17 Posts
Joined April 26, 2022
Website:
http://www.paoloperrone.org
Open post
Paolo Perrone @paolop@mathstodon.xyz
· 3mo ago

At Warwick they prefer non-standard analysis.

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Open post
Paolo Perrone @paolop@mathstodon.xyz
· 5mo ago
Replying to
@joannako@mathstodon.xyz It's the 'mathematics of mathematics' because when you tell other mathematicians you are a category theorist, they say "OMG I hated category theory in grad school! What's the utility of that in real math? I'm so proud to have forgotten everything about it."
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Open post
Paolo Perrone @paolop@mathstodon.xyz
· 14mo ago

The document that started categorical probability, part of secret work from 1962, has reappeared, together with new commentaries of its author, Bill Lawvere.
https://lawverearchives.com/wp-content/uploads/2025/07/1962.probmap.pdf
Thanks to Tobias Fritz and to the Lawvere Archives for the work.

lawverearchives.com
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Open post
Paolo Perrone @paolop@mathstodon.xyz
· 8mo ago

Metropolis-Hastings using Markov categories!
A work by Rob Cornish and Andi Wang.
https://arxiv.org/abs/2601.22911

arxiv.org
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Open post
Paolo Perrone @paolop@mathstodon.xyz
· 5mo ago
Replying to
@skewray@mathstodon.xyz @eigil@mathstodon.xyz The introductory section of this paper may be easier to probabilists and information theorists: https://arxiv.org/abs/2212.11719
Markov Categories and Entropy
arXiv.org

Markov Categories and Entropy

Markov categories are a novel framework to describe and treat problems in probability and information theory. In this work we combine the categorical formalism with the traditional quantitative notions of entropy, mutual information, and data processing inequalities. We show that several quantitative aspects of information theory can be captured by an enriched version of Markov categories, where the spaces of morphisms are equipped with a divergence or even a metric. As it is customary in in

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Open post
Paolo Perrone @paolop@mathstodon.xyz
· 10mo ago

More on the relationship between string diagrams and probabilistic graphical models.
New work by Antonio Lorenzin and Fabio Zanasi.
https://arxiv.org/abs/2512.09908

arxiv.org
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Open post
Paolo Perrone @paolop@mathstodon.xyz
· 11mo ago

Descent in Probability Theory: the first steps downward
https://youtu.be/VG2RTE1R0BY?si=mgRJ2cBgPyrH919n

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Open post
Paolo Perrone @paolop@mathstodon.xyz
· 10mo ago

New work by Bart Jacobs, Márk Széles and Dario Stein.
https://arxiv.org/abs/2512.00209

arxiv.org
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Open post
Paolo Perrone @paolop@mathstodon.xyz
· 14mo ago

New paper out!
https://arxiv.org/abs/2508.01146

arxiv.org
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Open post
Paolo Perrone @paolop@mathstodon.xyz
· 11mo ago

Anyone in Milan tomorrow?

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Open post
Paolo Perrone @paolop@mathstodon.xyz
· 5mo ago

If you are in Oxford and would like to learn about applied category theory, I'm giving a course at the Maths department.
It's on Fridays, at 11 am, in L5.

We start this week with monoidal categories and string diagrams.

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Open post
Paolo Perrone @paolop@mathstodon.xyz
· 11mo ago

"Independent States Are Orthogonal", a talk at GSI 2025 bridging probability and geometry.
https://youtu.be/mUPJEt3FeiU

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Open post
Paolo Perrone @paolop@mathstodon.xyz
· 13mo ago

Great work by Areeb Shah-Mohammed on partial morphisms in Markov categories.
https://arxiv.org/abs/2509.05094

arxiv.org
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Open post
Paolo Perrone @paolop@mathstodon.xyz
· 13mo ago

We should call it 'connecting the DOTS'.

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Open post
Paolo Perrone @paolop@mathstodon.xyz
· 14mo ago

A categorical definition of independence!
Here is a recording of the talk I gave at CT 2025, for anyone who might have missed it.
https://youtu.be/ls6zOX8L1eI

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Open post
Paolo Perrone @paolop@mathstodon.xyz
· 15mo ago

I'm excited to be in Bologna for the week!
(If anyone is here and wants to meet, write me an email.)

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Paolo Perrone @paolop@mathstodon.xyz
· 12mo ago

New introduction to Categorical Probability for Physicists, by Tomáš Gonda:
https://www.youtube.com/live/eVfFuIGEZxc?feature=shared

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