Louis Sharrock
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louissharrock.bsky.social
Louis Sharrock
@louissharrock.bsky.social
Lecturer (Assistant Prof) in Statistical Science at UCL.

Previously Postdoc @ Lancaster Uni, PhD @ Imperial College London, MA @ Cambridge Uni.

Interested in computational stats, probabilistic ML, optimisation.

Website: https://louissharrock.github.io/
Reposted by Louis Sharrock
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...
September 22, 2025 at 1:28 PM
Reposted by Louis Sharrock
🚨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...
Research Studentships
www.ucl.ac.uk
July 11, 2025 at 9:13 AM
Reposted by Louis Sharrock
🥳 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
June 18, 2025 at 9:53 AM
Reposted by Louis Sharrock
🆕 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
Advances in post-Bayesian methods – workshop2025
bit.ly
April 11, 2025 at 1:38 PM
Reposted by Louis Sharrock
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...
BayesComp Satellite Workshop on Bayesian Computation and Inference with Misspecified Models
postbayes.github.io
April 2, 2025 at 3:04 PM
Exciting to see our ICML 2024 spotlight on Sequential Neural Score Estimation feature in OpenAI’s PaperBench!

openai.com/index/paperb...
PaperBench: Evaluating AI’s Ability to Replicate AI Research
We introduce PaperBench, a benchmark evaluating the ability of AI agents to replicate state-of-the-art AI research.
openai.com
April 3, 2025 at 9:10 AM
Reposted by Louis Sharrock
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
2nd RSS/Turing Workshop on Gradient Flows for Sampling, Inference, and Learning
rss.org.uk
February 8, 2025 at 5:46 PM
Reposted by Louis Sharrock
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!
March 5, 2025 at 3:01 PM
Reposted by Louis Sharrock
🚀🚀 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
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 ...
hr-jobs.lancs.ac.uk
February 17, 2025 at 3:51 PM
Reposted by Louis Sharrock
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
Probability at UCL - Colloquium_2025
Friday 21 March 2025, 2-5PM UCL, 1-19 Torrington Place, lecture room 115
sites.google.com
February 14, 2025 at 3:47 PM
Reposted by Louis Sharrock
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!
February 14, 2025 at 4:31 PM
Reposted by Louis Sharrock
The recording, for anybody who's interested: youtu.be/FRoia-lszVM?.... Well worth a watch!
January 28, 2025 at 8:38 PM
Very interesting stuff!
Gareth O. Roberts, Jeffrey S. Rosenthal
Quantifying the Speed-Up from Non-Reversibility in MCMC Tempering Algorithms
https://arxiv.org/abs/2501.16506
January 29, 2025 at 11:17 AM
Reposted by Louis Sharrock
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/
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...
www.newton.ac.uk
January 21, 2025 at 3:25 PM
Reposted by Louis Sharrock
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.
January 15, 2025 at 10:03 PM
Reposted by Louis Sharrock
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
January 6, 2025 at 3:48 PM
Reposted by Louis Sharrock
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:
December 31, 2024 at 3:11 PM
Reposted by Louis Sharrock
📣 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.
December 30, 2024 at 12:21 PM
Reposted by Louis Sharrock
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
December 23, 2024 at 5:31 PM
Reposted by Louis Sharrock
🔊 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👇 🧵
December 18, 2024 at 7:09 PM
Missed this when it dropped earlier in the week but looks like a v interesting read (+ answers a long standing open question relating to SVGD): arxiv.org/abs/2412.10295
The Stein-log-Sobolev inequality and the exponential rate of convergence for the continuous Stein variational gradient descent method
The Stein Variational Gradient Descent method is a variational inference method in statistics that has recently received a lot of attention. The method provides a deterministic approximation of the ta...
arxiv.org
December 18, 2024 at 6:50 PM
Reposted by Louis Sharrock
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...
December 15, 2024 at 2:46 PM
Reposted by Louis Sharrock
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...
BreimanLectureNeurIPS2024_Doucet.pdf
drive.google.com
December 15, 2024 at 6:40 PM
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.
December 10, 2024 at 6:59 PM