We have a new preprint on empirical Bayes & simulation-based inference. With Xinwei Shen, Cheng Zhang, and David Blei. Simulation-based empirical Bayes:

I’m joining Cornell as an Assistant Professor in Computer Science this fall! My group will work on probabilistic machine learning for scientific discovery. I’m recruiting PhD students to start in Fall 2027 -- and stay tuned for postdoc opportunities!

Come find our poster "Electrostatic Models for Score Matching" at the #ICML2026 Workshop on Structured Probabilistic Inference & Generative Modeling July 10 @ Poster Session #2 (Hall A), 16:10 - 17:00. Led by fantastic PhD student Laura Appleby, w/ Lawrence Saul & Daniel Lee.

One day left for your submissions and fast-tracked accepted papers!

Symposium on Probabilistic Machine Learning@probml.bsky.social · 5mo ago

🔥🔥1 DAY LEFT🔥🔥 The #ProbML call for papers closes soon! Good luck to everyone! 👉 probml.cc

ProbML 2026 (formerly AABI) invites submissions on probabilistic ML (both Bayesian and otherwise!), July 5 in Seoul (co-located with ICML). Website: probml.cc. Tracks: proceedings (PMLR), workshop, fast track. New focus includes applications in healthcare and climate! Submit by: 20 March 2026.

Today, the NeurIPS Foundation is proud to announce a $500,000 donation to OpenReview, supporting the infrastructure that makes modern ML research possible. blog.neurips.cc/2025/12/15/s...

Check out my poster today (Thurs) at 11am--2pm session. Exhibit Hall C,D,E Poster Location: #602 "Fisher meets Feynman: score-based variational inference with a product of experts" (NeurIPS spotlight) with Robert Gower, David Blei, and Lawrence Saul @flatironinstitute.org #NeurIPS2025

🥁 Announcing the 2025 TMLR Outstanding Certification! The committee decided upon 1 recipient and 3 finalists. Read on to learn more! Committee: Pablo Samuel Castro, Pin-Yu Chen, Vincent Dumoulin, Amir massoud Farahmand, Andreas Kirsch, Jasper Lee, Jeffrey Pennington, Colin Raffel, Chang Xu 1/n

Many people don't know this but arXiv is maintained and operated by @cornelltech.bsky.social (that does NOT mean you can send me complaints or feature requests!) Everyone in the community should be excited that arXiv got $7M to upgrade from Schmidt Sciences, NASA news.cornell.edu/stories/2025...

$7M grant from NASA, Schmidt Sciences to upgrade arXiv | Cornell Chronicle

The funding will help arXiv – which is maintained and operated by Cornell Tech – finish migrating to cloud infrastructure and modernizing its code.

news.cornell.edu

Simulation-based inference has really become a commonly used tool for parameter inference across many fields and applications. We (finally...) got together to write a tutorial introduction and guide to (hopefully) help users get started and navigate the different methods and diagnostics!

Machine Learning in Science@mackelab.bsky.social · 9mo ago

Simulation-based inference (SBI) has transformed parameter inference across a wide range of domains. To help practitioners get started and make the most of these methods, we joined forces with researchers from many institutions and wrote a practical guide to SBI. 📄 Paper: arxiv.org/abs/2508.12939

Wanna do a postdoc at NYU? We have postings for Faculty Fellows at both @nyudatascience.bsky.social and @nyucourant.bsky.social CS in the new School for Mathematics, Computing, and Data Science! Come work with the best! Courant CS: apply.interfolio.com/175537 CDS: apply.interfolio.com/174686

Checkout our cryo-EM simulator in JAX: paving the way for cryo-EM probabilistic modelling & statistical structural biology #cryoEM with @m0bri3n.bsky.social @miroastore.bsky.social + Harvard, Flatiron & Cornell!

Michael O’Brien@m0bri3n.bsky.social · 9mo ago

hey bsky! excited to share what i've been working on for a few years now. cryoJAX: A Cryo-EM Image Simulation Library In JAX www.biorxiv.org/content/10.1... cryoJAX is a modular framework for implementing forward models of cryo-EM image formation. these can be used to build powerful data analyses!

I'm on the academic job market! I design and analyze probabilistic machine-learning methods---motivated by real-world scientific constraints, and developed in collaboration with scientists in biology, chemistry, and physics. A few highlights of my research areas are:

Fisher meets Feynman! 🤝 We use score matching and a trick from quantum field theory to make a product-of-experts family both expressive and efficient for variational inference. To appear as a spotlight @ NeurIPS 2025. #NeurIPS2025 (link below)

Saw a talk yesterday where they mentioned the automatic statistician. What a fun throwback 😊

Our team at DeepMind is growing (again). 🚀 We're tackling grand challenges in semiconductors, magnets, energy materials, superconductors, and beyond. Join us! Two positions below.

reminder that my (wonderful, diverse, interdisciplinary) department at the University of Oregon is seeking applications for an Associate/Full Professor of Data Science -- deadline 10/31 and only cover letter/CV needed to apply academicjobsonline.org/ajo/jobs/30328

**Job Alert** Exciting postdoc position available: theoretical and experimental cryo-EM studies of flexible biomolecules. Competitive salary, collaborative environment at NYSBC and Flatiron Institute. Please share!! and contact: pcossio@flatironinstitute.org

Come do an internship with us! Please apply

Kevin K. Yang 楊凱筌@kevinkaichuang.bsky.social · 10mo ago

Are you a PhD student interested in ML and biology or health? Come do an internship with me, @avapamini.bsky.social, Alex Lu, @lcrawford.bsky.social, or Kristen Severson at MSRNE! Applications are due Dec 1: make sure you include a research statement! jobs.careers.microsoft.com/global/en/jo...

Not all environmental issues should be seen through the lens of CO₂. While coral death could increase ocean CO₂ uptake—since calcification releases CO₂ and dissolution releases alkalinity and allows the ocean to take up CO₂—reefs are vital for biodiversity, food, coastal protection, and livelihoods.

Coral reefs are at a tipping point after surging global temperatures

Record-breaking ocean temperatures have caused widespread bleaching and death among warm-water corals, which could have far-reaching consequences

newscientist.com

TMLR is looking for additional reviewers and action editors! Please sign up to keep the initiative strong and vibrant.

Transactions on Machine Learning Research@tmlrorg.bsky.social · 10mo ago

As Transactions on Machine Learning Research (TMLR) grows in number of submissions, we are looking for more reviewers and action editors. Please sign up! Only one paper to review at a time and <= 6 per year, reviewers report greater satisfaction than reviewing for conferences!

Keynote at #COLM2025: Nicholas Carlini from Anthropic "Are language models worth it?" Explains that the prior decade of his work on adversarial images, while it taught us a lot, isn't very applied; it's unlikely anyone is actually altering images of cats in scary ways.

Excited to be heading to @Princeton @PrincetonSML to talk about my work on variational inference! Event details below: csml.princeton.edu/events/batch...

Batch and match: score-based approaches for black-box variational inference

Abstract:Black-box variational inference (BBVI) algorithms have become popular due to their ease of application facilitated by automatic differentiation. While effective for factorized variational fam...

csml.princeton.edu

Want to work on Trustworthy AI? 🚀 I'm seeking exceptional candidates to apply for the Digital Futures Postdoctoral Fellowship to work with me on Uncertainty Quantification, Bayesian Deep Learning, and Reliability of ML Systems. The position will be co-advised by Hossein Azizpour or Henrik Boström.

EurIPS workshop on AmOrTIzED InfErENcE!!!1!

Luigi Acerbi@lacerbi.bsky.social · 11mo ago

Short abstract submission is open (DL Oct 16, 2025 AoE) Accepted abstracts will be presented as posters. 🌍 Location: Copenhagen (co-located with #EurIPS) 📅 Date: 2 Dec, 2025 🔗 Website: sites.google.com/view/amortiz... 📝Call for abstracts: sites.google.com/view/amortiz...

We have created a resource in the ISBA website where you can find all recorded webinars: bayesian.org/ba-webinars/ Also, don't forget about the ISBA YouTube channel featuring curated playlists from ISBA World Meetings and specialized workshops and seminars: www.youtube.com/@isba-intern...

Excited to attend the Fast and Curious II in Toronto! Here’s the workshop page: raducraiu.com/the-fast-and...

The Fast and Curious 2: MCMC in Action

September 25-27, Toronto, Canada Aims: Recent strides in Bayesian inference applied to intricate complex-structured datasets offer a unique opportunity to bring together disparate research communit…

raducraiu.com

Proposals for contributed talks & posters are now being accepted for the 2026 ISBA World Meeting! The world meeting will take place in Nagoya, Japan between 28 June and 3 July, 2026. Proposals may be submitted here: forms.gle/dVTUrdEuVF6g...

We are hiring for a postdoc to work on the intersection of molecular simulation, machine learning, and cryo-EM! Please find the job posting here. thiedelab.github.io/docs/postdoc...

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...