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Umberto Picchini @uPicchini

Full Professor in Mathematical Statistics @StatsChalmersGU | simulation-based inference | Bayes | stochastic dynamical systems | @uPicchini.bsky.social

Joined December 2012
  • Tweets 1,139
  • Following 390
  • Followers 1,351
204 Photos and videos
Cool!
Jeremias Knoblauch@LauchLab
19 Nov 2024
📢 Post-Bayesian online seminar series coming!📢 To stay posted, sign up at tinyurl.com/postBayes We'll discuss cutting-edge methods for posteriors that no longer rely on Bayes Theorem. (e.g., PAC-Bayes, generalised Bayes, Martingale posteriors, ...) Pls circulate widely!
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for those migrating to Bluesky: these days me, as well as many others, are getting dozens of new Bluesky followers every day. But please before following anyone, write something about yourself in your profile, and have a profile pic. You are more likely to get followed-back
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In Göteborg you can choose what services to use to enhance your predictive power #realpic
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Umberto Picchini retweeted
Adam Kucharski
@adamjkucharski
11 Nov 2024
My new post on the place to increasingly be (and not to be) if you're interested in science, data, research, health, policy... kucharski.substack.com/p/sci…
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Umberto Picchini retweeted
Approximate Bayes Seminar@approxbayes
30 Oct 2024
A reminder of our talk tomorrow by Ullrich Köthe (University of Heidelberg) on "Free-form flows for physics-informed generative modelling". Sign up here listserv.csv.warwick.ac.uk/m… to get the link to join.
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regarding the publisher MDPI: a tragedy put MDPI into the spotlight "Performance metrics for editorial staffers prioritize the quantity of published manuscripts over their quality [...] It incentivizes us to push towards publication instead of rejection" retractionwatch.com/2024/10/…

Young employee’s death puts workplace culture in spotlight at publisher MDPI

The sudden death of a 27-year-old woman in the Romania offices of MDPI, a major open-access publisher with a worldwide presence, has grabbed national headlines and raised questions about the condit…

retractionwatch.com
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“Either you perform and bring profits to the company, or it’s more convenient to leave.”
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Please follow the new X account of the Approximate Bayesian Inference seminar series, to learn of advances in simulation-based inference.
Richard Everitt@bayesian_stats
23 Oct 2024
The One World Approximate Bayesian Inference (ABI) Seminar is on X. x.com/approxbayes
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recent *review paper* on (neural) amortised simulation-based inference. I haven't seen it publicized much here among my connections, so there you go
Andrew Zammit-Mangion@andrewzm
22 Apr 2024
Had a great time writing this review paper with former student Matthew Sainsbury-Dale and @HuserRaphael on "Neural Methods for Amortised Parameter Inference". Hope it's found as a useful resource, I definitely learned a lot writing it! #rstats arxiv.org/abs/2404.12484
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yesterday I refereed a paper, read it from start to finish as usual, and sent the review to a journal. This morning I read on LinkedIn of the NotebookLM project by Google, an AI "research assistant". You can upload a paper and "interrogate" it. 1/n notebooklm.google.com/

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more replies
When the AI Notebook returns comments, it also cites the exact paragraphs in the paper that are relevant for the comments. You can see where this is going. You can also use it to extract a summary of a paper you wish to read, and "scaringly enough"....3/n
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it generated a 15 minutes podcast involving a realistic discussion between two persons about the paper. It was an engaging conversation, with very realistic voices, interruptions, accents. Incredible. 4/n
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tweeting this so I can also find it again. Pen and Paper exercises in ML *WITH SOLUTIONS* By Michael Gutmann arxiv.org/abs/2206.13446

Pen and Paper Exercises in Machine Learning

This is a collection of (mostly) pen-and-paper exercises in machine learning. The exercises are on the following topics: linear algebra, optimisation, directed graphical models, undirected...

arxiv.org
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Harold Jeffreys introduced the | notation for conditional probabilities. Learned from bayesianspectacles.org/the-m…
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Brad Efron's 13 rules for giving a really bad talk (from efron.ckirby.su.domains/othe…) Thanks to Robert Grant for finding this gem
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a 129 pages review paper on optimal experimental design (thanks @FForbes70 for the pointer!)
Stat.CO Papers@StatCOupdates
25 Jul 2024
Xun Huan, Jayanth Jagalur, Youssef Marzouk. [stat.ME]. Optimal experimental design: Formulations and computations. arxiv.org/abs/2407.16212
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nice package for visualising of the outputs of SMC, IS and more, by @bayesian_stats For example, the pics shows the genealogy of 25 resampled particles richardgeveritt.github.io/gg…
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" I trust this message finds you in good health and high spirits." --> mail goes into the bin
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great Editorial Board for this new RSS journal academic.oup.com/rssdat/page…

Editorial Board

Editors-in-chief Silvia Chiappa (Google DeepMind and University College London) Sach Mukherjee (DZNE, University of Bonn and University of Cambridge) Neil Lawr

academic.oup.com
Oxford Journals
@OxfordJournals
29 Jul 2024
RSS: Data Science and Artificial Intelligence, a new fully #OpenAccess journal published on behalf of @RoyalStatSoc, is now open for submissions. Learn why the journal is a perfect fit for your data science & AI research! Discover the reasons to submit: oxford.ly/3YjTBEG

ALT Learn more about the new journal "RSS: Data Science and Artificial Intelligence"
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