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Diana Cai

@dianarycai.bsky.social
4.7K followers 283 following 67 posts

Machine learning researcher www.dianacai.com

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Reposted by Diana Cai
Gautam Kamath @gautamkamath.com · 31/08/2026
As LLMs make things easier, we must raise our expectations on what researchers are expected to produce. This is particularly true for writing: clear writing was rarely a focus in scientific publication, and it's only got worse due to LLMs. We're trying to reverse this trend.
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Diana Cai @dianarycai.bsky.social · 27/07/2026
We have a new preprint on empirical Bayes & simulation-based inference. With Xinwei Shen, Cheng Zhang, and David Blei. Simulation-based empirical Bayes:
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Diana Cai @dianarycai.bsky.social · 15/07/2026
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!
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Diana Cai @dianarycai.bsky.social · 08/07/2026
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.
ICML Workshop Poster: Electrostatic Models for Score Matching
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Jonathan Wenger @jwenger.bsky.social · 20/03/2026
One day left for your submissions and fast-tracked accepted papers!
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Symposium on Probabilistic Machine Learning @probml.bsky.social · 10/02/2026
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.
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NeurIPS Conference @neuripsconf.bsky.social · 15/12/2025
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...
blog.neurips.cc
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Diana Cai @dianarycai.bsky.social · 04/12/2025
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
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Transactions on Machine Learning Research @tmlrorg.bsky.social · 01/12/2025
🥁 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
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Mor Naaman @informor.bsky.social · 24/11/2025
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...
news.cornell.edu
$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.
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Jakob Macke @jakhmack.bsky.social · 21/11/2025
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!
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Gautam Kamath @gautamkamath.com · 21/11/2025
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
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pilarcossio.bsky.social @pilarcossio.bsky.social · 15/11/2025
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!
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Diana Cai @dianarycai.bsky.social · 07/11/2025
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:
Probabilistic ML in scientific pipelines
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Diana Cai @dianarycai.bsky.social · 27/10/2025
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)
Fisher meets Feynman: score-based variational inference with a product of experts
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Diana Cai @dianarycai.bsky.social · 24/10/2025
Saw a talk yesterday where they mentioned the automatic statistician. What a fun throwback 😊
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Simon Batzner @simonbatzner.bsky.social · 23/10/2025
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.
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Roshni Patel @roshnipatel.bsky.social · 22/10/2025
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
academicjobsonline.org
University of Oregon, Department of Data Science
Job #AJO30328, 535565 Associate or Full Professor of Data Science, Department of Data Science, University of Oregon, Eugene, Oregon, US
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pilarcossio.bsky.social @pilarcossio.bsky.social · 22/10/2025
**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
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Lorin Crawford @lcrawford.bsky.social · 22/10/2025
Come do an internship with us! Please apply
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David Ho @davidho.bsky.social · 20/10/2025
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.
newscientist.com
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
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Gautam Kamath @gautamkamath.com · 14/10/2025
TMLR is looking for additional reviewers and action editors! Please sign up to keep the initiative strong and vibrant.
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Maria Antoniak @mariaa.bsky.social · 09/10/2025
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.
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Diana Cai @dianarycai.bsky.social · 07/10/2025
Excited to be heading to @Princeton @PrincetonSML to talk about my work on variational inference! Event details below: csml.princeton.edu/events/batch...
csml.princeton.edu
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...
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Martin Trapp @trappmartin.eurosky.social · 02/10/2025
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.
trappmartin.github.io
Home
Martin Trapp - Assistant Professor in Machine Learning at KTH Royal Institute of Technology.
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Martin Trapp @trappmartin.eurosky.social · 01/10/2025
EurIPS workshop on AmOrTIzED InfErENcE!!!1!
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International Society for Bayesian Analysis @isba-bayesian.bsky.social · 29/09/2025
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...
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Diana Cai @dianarycai.bsky.social · 25/09/2025
Excited to attend the Fast and Curious II in Toronto! Here’s the workshop page: raducraiu.com/the-fast-and...
raducraiu.com
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…
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International Society for Bayesian Analysis @isba-bayesian.bsky.social · 24/09/2025
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...
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Erik Thiede @erikhthiede.bsky.social · 22/09/2025
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...
thiedelab.github.io
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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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Diana Cai @dianarycai.bsky.social · 12/09/2025
The application for a research fellowship at the Flatiron Institute in the Center for Computational Math is now live! This includes positions for ML and stats. The deadline is Dec 1. apply.interfolio.com/173401 ML@CCM group: users.flatironinstitute.org/~lsaul/ml_cc...
apply.interfolio.com
Apply - Interfolio {{$ctrl.$state.data.pageTitle}} - Apply - Interfolio
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Kyle Cranmer @kylecranmer.bsky.social · 20/08/2025
I haven’t had the chance to look closely, but I’m still eager to share this practical guide on Simulation-based Inference 👇
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Arno Solin @arnosolin.bsky.social · 12/08/2025
📣 Please share: We invite submissions to the 29th International Conference on Artificial Intelligence and Statistics (#AISTATS 2026) and welcome paper submissions at the intersection of AI, machine learning, statistics, and related areas. [1/3]
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Dylan Foster 🐢 @djfoster.bsky.social · 11/08/2025
Announcing the first workshop on Foundations of Language Model Reasoning (FoRLM) at NeurIPS 2025! 📝Soliciting abstracts that advance foundational understanding of reasoning in language models, from theoretical analyses to rigorous empirical studies. 📆 Deadline: Sept 3, 2025
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Emtiyaz Khan @emtiyaz.mastodon.social.ap.brid.gy · 30/07/2025
AISTATS 2026 will be in Morocco!
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Diana Cai @dianarycai.bsky.social · 22/07/2025
Enjoyed co presenting this tutorial at #uai2025 in Brazil with Yingzhen Li! Enjoyed the conference size and location. Also great company, weather, and food.
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Diana Cai @dianarycai.bsky.social · 14/06/2025
Headed to Singapore for BayesComp next week!
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Hanna Wallach @hannawallach.bsky.social · 20/05/2025
Exciting news: The Fairness, Accountability, Transparency and Ethics (FATE) group at Microsoft Research NYC is hiring a predoctoral fellow!!! 🎉 www.microsoft.com/en-us/resear...
microsoft.com
FATE Research Assistant (“Pre-doc”) - Microsoft Research
The Fairness, Accountability, Transparency, and Ethics (FATE) Research group at Microsoft Research New York City (MSR NYC) is looking for a pre-doctoral research assistant (pre-doc) to start August 20...
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Diana Cai @dianarycai.bsky.social · 02/05/2025
Come check out our #AISTATS2025 poster Sunday Hall A—E 79. Previously we showed how to fit a full cov Gaussian approx via “batch and (score) match.” Here we show how to make the update cheaper using a “patch” step that projects the update to one that is low rank + diagonal.
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Andrea Montanari @andrea-montanari.bsky.social · 30/04/2025
Overfitting is among the conceptually most interesting problems in machine learning. I am happy of several new phenomena we began to understand with Pierfrancesco Urbani. Alert: mostly non-rigorous! (Celebrating Jorge Kurchan) web.stanford.edu/~montanar/OT...
web.stanford.edu
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Neil Shephard @neilshephard.bsky.social · 15/04/2025
I hope you will read the letter from President Garber www.harvard.edu/president/ne... and particularly take up his request that you read what the U.S. Government demanded of Harvard.
harvard.edu
The Promise of American Higher Education
No government—regardless of which party is in power—should dictate what private universities can teach, whom they can admit and hire, and which areas of study and inquiry they can pursue
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antonio vergari ⚔️ short-circuiting @nolovedeeplearning.bsky.social · 13/04/2025
props to that reviewer who just spotted that several references of a survey did not exist! very likely that those refs and (part of) the manuscript have been generated by LLMs without authors thoroughly checking.
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uai2026 @auai.org · 04/04/2025
🥇 Accepted workshops are out! www.auai.org/uai2025/work... Get ready for a day of great talks, panels, and discussions on causality, tractable models, and safe AI. Don't forget to submit your work, and see you in Rio! 🇧🇷
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Maxim Raginsky @mraginsky.bsky.social · 03/04/2025
To say that I am shocked at this tragic news is an understatement. I got to know Sayan well during my time at Duke; he was deeply knowledgeable about all sorts of things and had a great sense of humor. He was the one and only Bayesian anarchist. www.mis.mpg.de/news/loss-sa...
mis.mpg.de
We Mourn the Loss of Sayan Mukherjee
We are shocked and saddened by the news that our colleague and Max Planck Fellow Sayan Mukherjee passed away. He was a dear colleague in Leipzig who formed a vital connection between mathematics, comp...
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Diana Cai @dianarycai.bsky.social · 03/04/2025
Very cool to see our ICML 2024 paper on Batch and Match variational inference featured in OpenAI’s PaperBench! They have a nice blog post and paper here: openai.com/index/paperb...
openai.com
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.
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Diana Cai @dianarycai.bsky.social · 20/03/2025
Looking forward to attending and speaking at LoG-NYC, held at the Flatiron Institute. Lots of interesting topics around ML for science, networks, and structured probabilistic inference. log-nyc.github.io
log-nyc.github.io
Learning Meets Geometry, Graphs, and Networks
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Julyan Arbel @julyanarbel.bsky.social · 17/03/2025
🚀 Exciting news! We're proposing a new *Bayesian Deep Learning* section within @isba-bayesian.bsky.social . If you support this initiative, add your name to the petition and help make it happen! 🔗 Petition: tinyurl.com/527vaamz Sinead Williamson, Theo Papamarkou @vincefort.bsky.social Sara Wade 1/2
tinyurl.com
Petition to form a Bayesian Deep Learning section at ISBA
Petition to form a Bayesian Deep Learning section at ISBA We, the undersigned members of the International Society for Bayesian Analysis (ISBA), petition the ISBA board to establish a new Bayesian D...
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Diana Cai @dianarycai.bsky.social · 11/03/2025
Enjoying the BIRS workshop on efficient approximate inference! Really great program on various aspects of variational inference. My talk from yesterday on "batch and match: score based approaches for black-box variational inference" is linked here: www.birs.ca/events/2025/...
birs.ca
Video: Diana Cai, "Batch and match: score-based approaches to black-box variational inference"
Diana Cai speaking at BIRS workshop, Efficient Approximate Bayesian Inference, on Monday, March 10, 2025 on the topic: Batch and match: score-based approaches to black-box variational inference.
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Luigi Acerbi @lacerbi.bsky.social · 06/03/2025
1/ Introducing ACE (Amortized Conditioning Engine)! Our new AISTATS 2025 paper presents a transformer framework that unifies tasks from image completion to BayesOpt & simulator-based inference under *one* probabilistic conditioning approach. It's Bayes all the way down!
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