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Reposted by Louis Sharrock

Deniz Akyildiz @odakyildiz.bsky.social · 24/09/2026

Happy to announce yet another workshop on Gradient Flows -- register when it is still available :-) gradientflows.com

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François-Xavier Briol @fxbriol.bsky.social · 03/02/2026

The UCL IMSS Annual Lecture will take place on the 27th April with a keynote from @lestermackey.bsky.social. The theme is 'Computational Statistics and Machine Learning' and we'll have talks from Alessandro Barp, Paula Cordero Encinar & Po-Ling Loh. imss2026.github.io @statisticsucl.bsky.social

imss2026.github.io

IMSS Lecture 2026

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Sam Power @spmontecarlo.bsky.social · 22/09/2025

Some fun news: We're hiring! Lectureship (analogous to Assistant Prof.) in Statistical Science and AI, in the School of Mathematics, University of Bristol. Closing date 13 October 2025; link below! www.bristol.ac.uk/jobs/find/de...

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UCL Department of Statistical Science @statisticsucl.bsky.social · 11/07/2025

🚨3 Departmental PhD Studentships have now become available. The deadline for applications will be 31 of July. Available for overseas and home students. www.ucl.ac.uk/statistics/p...

ucl.ac.uk

Research Studentships

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UCL Department of Statistical Science @statisticsucl.bsky.social · 18/06/2025

🥳 Congratulations are in order for: our newly promoted professors FX Robin Paul Terry as well as for our newly promoted Associated Professors Tom H Alex D Takoua Emma Brieuc

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ELLIS @ellis.eu · 11/04/2025

🆕 The ELLIS Unit London (@ucl.ac.uk) will host the first workshop uniting disparate subfields of post-Bayesian methods, including PAC Bayes, generalized Bayes, predictive resampling, Martingale posteriors, and online learning. 📍 London 🏴󠁧󠁢󠁥󠁮󠁧󠁿 📅 May 15-16 🔗 bit.ly/3GgwZ0G

bit.ly

Advances in post-Bayesian methods – workshop2025

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François-Xavier Briol @fxbriol.bsky.social · 02/04/2025

The BayesComp workshop on 'Bayesian Computation and Inference with Misspecified Models' will take place in Singapore on the 16-17th June. We have an open call for posters/contributed calls, with a deadline on the 1st May. More details on the website: postbayes.github.io/BayesMisspec...

postbayes.github.io

BayesComp Satellite Workshop on Bayesian Computation and Inference with Misspecified Models

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Adam Johansen @adamjohansen.bsky.social · 08/02/2025

Registration is now open for the 2nd RSS/Turing Workshop on Gradient Flows for Sampling, Inference, and Learning at rss.org.uk/training-eve.... Date: Monday 24 March 2025, 10.00AM - 5.00PM Location: The Alan Turing Institute

rss.org.uk

2nd RSS/Turing Workshop on Gradient Flows for Sampling, Inference, and Learning

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Sam Power @spmontecarlo.bsky.social · 05/03/2025

JOB OPENING at University of Bristol: -- Lecturer in Statistics or Machine Learning -- (x 2 positions available) -- application deadline: 31 March, 2025 Details at www.bristol.ac.uk/jobs/find/de... Come join us!

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Chris Nemeth @chris-nemeth.bsky.social · 17/02/2025

🚀🚀 We’re Hiring! A 3-year postdoc in Probabilistic AI at Lancaster Uni, part of the £8.5M Prob_AI Hub. PhD in Maths/Stats/ML required (AI experience optional). 💰 £39,105-£45,163 📅 Apply by 23 Mar 2025. More info: hr-jobs.lancs.ac.uk/Vacancy.aspx... ✉️ p.fearnhead@lancaster.ac.uk #Hiring #AI #Postdoc

hr-jobs.lancs.ac.uk

Job Opportunity at Lancaster University: Senior Research Associate (Prob_AI Hub)

We invite applications for a 3 year Post-Doctoral Research Associate position at Lancaster University to join the Prob_AI Hub. The vision of the Prob_AI Hub is to develop a world-leading, diverse and ...

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UCL Department of Statistical Science @statisticsucl.bsky.social · 14/02/2025

We are very pleased to announce the Bloomsbury Probability Colloquium, an afternoon of research talks in Probability hosted by the probability group at UCL. Date and time: Friday 21st March 2025, 2-5PM Venue: UCL, Department of Statistical Science, room 115, 1-19 Torrington Place, London

sites.google.com

Probability at UCL - Colloquium_2025

Friday 21 March 2025, 2-5PM UCL, 1-19 Torrington Place, lecture room 115

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Sam Power @spmontecarlo.bsky.social · 14/02/2025

A touch of self-advertisement: I'll be giving a research talk next Tuesday at the Online Monte Carlo Seminar (sites.google.com/view/monte-c...) on one of my favourite topics: the convergence properties of the Random Walk Metropolis algorithm. Please join us!

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International Society for Bayesian Analysis @isba-bayesian.bsky.social · 21/01/2025

The Isaac Newton Institute at Cambridge is hosting a workshop on Accelerating Statistical Inference and Experimental Design with Machine Learning June 23 - 27. It includes tutorials on #Bayesian inference, DoE, and diffusion models. More details at the website: www.newton.ac.uk/event/rclw03/

newton.ac.uk

Accelerating statistical inference and experimental design with machine learning - Isaac Newton Institute

This workshop focuses on leveraging modern machine learning to accelerate statistical inference, experimental design, and scientific discovery. It features...

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Andreas Geiger @andreasgeiger.bsky.social · 15/01/2025

Excited to share that today our paper recommender platform www.scholar-inbox.com has reached 20k users! We hope to reach 100k by the end of the year.. Lots of new features are being worked on currently and rolled out soon.

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Justin Solomon @justinmsolomon.bsky.social · 06/01/2025

Announcing SGI 2025! Undergrads and MS students: Apply for 6 weeks of paid summer geometry processing research. No experience needed: 1 week tutorials + 5 weeks of projects. Mentors are top researchers in this emerging branch of graphics/computing/math. sgi.mit.edu

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Sam Power @spmontecarlo.bsky.social · 31/12/2024

Without aiming for anything as precise as a 'best papers of the year' list, it seems a decent time to review some themes and works which I've enjoyed this year. Not all arrived exactly this year, but all have been particularly on my radar in recent times. Anyhow:

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Gilles Louppe @glouppe.bsky.social · 30/12/2024

📣 Hiring! I am looking for PhD/postdoc candidates to work on foundation models for science at @ULiege, with a special focus on weather and climate systems. 🌏 Three positions are open around deep learning, physics-informed FMs and inverse problems with FMs.

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Grant Rotskoff @grant.rotskoff.cc · 23/12/2024

I am hiring a postdoctoral scholar with a start date summer or fall 2025. Projects will be focused on thermodynamically consistent generative models, broadly defined. If you’re interested, please send a CV and one paragraph about why you think you’d be a good fit to rotskoff@stanford.edu

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Joey Bose @joeybose.bsky.social · 18/12/2024

🔊 Super excited to announce the first ever Frontiers of Probabilistic Inference: Learning meets Sampling workshop at #ICLR2025 @iclr-conf.bsky.social! 🔗 website: sites.google.com/view/fpiwork... 🔥 Call for papers: sites.google.com/view/fpiwork... more details in thread below👇 🧵

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Alex Thiery @alexxthiery.bsky.social · 15/12/2024

One #postdoc position is still available at the National University of Singapore (NUS) to work on sampling, high-dimensional data-assimilation, and diffusion/flow models. Applications are open until the end of January. Details: alexxthiery.github.io/jobs/2024_di...

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Arnaud Doucet @arnauddoucet.bsky.social · 15/12/2024

The slides of my NeurIPS lecture "From Diffusion Models to Schrödinger Bridges - Generative Modeling meets Optimal Transport" can be found here drive.google.com/file/d/1eLa3...

drive.google.com

BreimanLectureNeurIPS2024_Doucet.pdf

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Louis Sharrock @louissharrock.bsky.social · 10/12/2024

Massive congrats to Jack Simons for passing his PhD Viva today 🎉🎉🎉 His thesis is entitled: “Simulation-Based Inference Using Contemporary Generative Methods”. Jack was supervised by Dr Song Liu and Prof Mark Beaumont at Bristol Uni with a helping hand from me at points along the way.

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Sam Power @spmontecarlo.bsky.social · 09/12/2024

Splendid stuff; very digestible and usable: arxiv.org/abs/2412.05239 'Conditions for uniform in time convergence: applications to averaging, numerical discretisations, and mean-field systems' - Katharina Schuh, Iain Souttar

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Sam Power @spmontecarlo.bsky.social · 07/12/2024

An old reading list, revisited, reformatted, and put somewhere mildly more permanent: hackmd.io/@sp-monte-ca... 'A Reading List'

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Chris Nemeth @chris-nemeth.bsky.social · 05/12/2024

We're launching a new PhD programme in Mathematical AI at Lancaster University. If you know anyone who might be interested, then please pass this along.

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Gabriel Peyré @gabrielpeyre.bsky.social · 04/12/2024

I have updated my course notes on Optimal Transport with a new Chapter 9 on Wasserstein flows. It includes 3 illustrative applications: training a 2-layer MLP, deep transformers, and flow-matching generative models. You can access it here: mathematical-tours.github.io/book-sources...

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UCL Department of Statistical Science @statisticsucl.bsky.social · 02/12/2024

5 EPSRC PhD projects available at UCL Statistical Science. More information: ucl-epsrc-dtp.github.io/2025-26-proj... www.ucl.ac.uk/epsrc-doctor... The deadline for applications is: 13:00 UK time on 28 Jan 2025.

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Approximate Bayes Seminar @approxbayesseminar.bsky.social · 28/11/2024

Our next talk will be by Paul Bürkner paulbuerkner.com/ on 30th January. Title: Amortized Bayesian Inference, Neural Posterior Estimation, Probabilistic Factorization.

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sbi - Simulation-based inference @sbi-devs.bsky.social · 27/11/2024

The sbi package is growing into a community project 🌍 To reflect this and the many algorithms, neural nets, and diagnostics that have been added since its initial release, we have written a new software paper 📝 Check it out, and reach out if you want to get involved: arxiv.org/abs/2411.17337

arxiv.org

sbi reloaded: a toolkit for simulation-based inference workflows

Scientists and engineers use simulators to model empirically observed phenomena. However, tuning the parameters of a simulator to ensure its outputs match observed data presents a significant challeng...

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Mathurin Massias @mathurinmassias.bsky.social · 27/11/2024

Anne Gagneux, Ségolène Martin, @quentinbertrand.bsky.social Remi Emonet and I wrote a tutorial blog post on flow matching: dl.heeere.com/conditional-... with lots of illustrations and intuition! We got this idea after their cool work on improving Plug and Play with FM: arxiv.org/abs/2410.02423

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Mufan Li @mufan-li.bsky.social · 22/11/2024

Since I'm moving over, I would like to reshare my most recent blog post on why you should learn Optimal Transport. Part 2 is coming, most likely during the winter break :) mufan-li.github.io/OT1/

mufan-li.github.io

Everyone Should Learn Optimal Transport, Part 1

In my opinion, optimal transport (OT) is a seriously underrated topic. I think part of the reason is the way OT is often introduced: as an optimization problem or a metric on probability distributions...

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Motonobu Kanagawa @motonobu-kanagawa.bsky.social · 17/11/2024

We are organising the First International Conference on Probabilistic Numerics (ProbNum 2025) at EURECOM in southern France in Sep 2025. Topics: AI, ML, Stat, Sim, and Numerics. Reposts very much appreciated! probnum25.github.io

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Approximate Bayes Seminar @approxbayesseminar.bsky.social · 26/11/2024

A reminder of Jeremias Knoblauch's talk on November 28, 11am UK time. He will speak on "Post-Bayesian machine learning". Last chance to sign up and receive the link! listserv.csv.warwick...

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Michele Guindani @mguindani.bsky.social · 23/11/2024

The International Society for Bayesian Analysis (ISBA) has joined Bluesky. You can follow the account at @isba-bayesian.bsky.social to stay updated on events, publications, and discussions within the #Bayesian community. Please add the account to your starter packages.

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UCL Department of Statistical Science @statisticsucl.bsky.social · 22/11/2024

Up to 5 Departmental PhD Scholarships Deadline: 10 January 2025 The Departmental Scholarships will be 3.5 years in duration, full time (or 6 years for part-time), and includes full tuition fees, an annual stipend, and an allowance for research training. www.ucl.ac.uk/statistics/p...

ucl.ac.uk

Research Studentships

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