Reposted by Diana CaiGautam Kamath @gautamkamath.com · 31/08/2026As 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. 0314
Diana Cai @dianarycai.bsky.social · 27/07/2026We have a new preprint on empirical Bayes & simulation-based inference. With Xinwei Shen, Cheng Zhang, and David Blei. Simulation-based empirical Bayes: 051
Diana Cai @dianarycai.bsky.social · 15/07/2026I’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! 5707
Diana Cai @dianarycai.bsky.social · 08/07/2026Come 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. 13160
Reposted by Diana CaiJonathan Wenger @jwenger.bsky.social · 20/03/2026One day left for your submissions and fast-tracked accepted papers! 042
Reposted by Diana CaiSymposium on Probabilistic Machine Learning @probml.bsky.social · 10/02/2026ProbML 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. 12516
Reposted by Diana CaiNeurIPS Conference @neuripsconf.bsky.social · 15/12/2025Today, 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 0446
Diana Cai @dianarycai.bsky.social · 04/12/2025Check 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 2234
Reposted by Diana CaiTransactions 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 1112
Reposted by Diana CaiMor Naaman @informor.bsky.social · 24/11/2025Many 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 ChronicleThe funding will help arXiv – which is maintained and operated by Cornell Tech – finish migrating to cloud infrastructure and modernizing its code. 27614
Reposted by Diana CaiJakob Macke @jakhmack.bsky.social · 21/11/2025Simulation-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! 13711
Reposted by Diana CaiGautam Kamath @gautamkamath.com · 21/11/2025Wanna 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 1103
Reposted by Diana Caipilarcossio.bsky.social @pilarcossio.bsky.social · 15/11/2025Checkout 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! 0154
Diana Cai @dianarycai.bsky.social · 07/11/2025I'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: 23914
Diana Cai @dianarycai.bsky.social · 27/10/2025Fisher 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) 1469
Diana Cai @dianarycai.bsky.social · 24/10/2025Saw a talk yesterday where they mentioned the automatic statistician. What a fun throwback 😊 050
Reposted by Diana CaiSimon Batzner @simonbatzner.bsky.social · 23/10/2025Our team at DeepMind is growing (again). 🚀 We're tackling grand challenges in semiconductors, magnets, energy materials, superconductors, and beyond. Join us! Two positions below. 1203
Reposted by Diana CaiRoshni Patel @roshnipatel.bsky.social · 22/10/2025reminder 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/30328academicjobsonline.orgUniversity 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 02528
Reposted by Diana Caipilarcossio.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 01418
Reposted by Diana CaiLorin Crawford @lcrawford.bsky.social · 22/10/2025Come do an internship with us! Please apply 142
Reposted by Diana CaiDavid Ho @davidho.bsky.social · 20/10/2025Not 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.comCoral reefs are at a tipping point after surging global temperaturesRecord-breaking ocean temperatures have caused widespread bleaching and death among warm-water corals, which could have far-reaching consequences 620654
Reposted by Diana CaiGautam Kamath @gautamkamath.com · 14/10/2025TMLR is looking for additional reviewers and action editors! Please sign up to keep the initiative strong and vibrant. 065
Reposted by Diana CaiMaria Antoniak @mariaa.bsky.social · 09/10/2025Keynote 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. 28022
Diana Cai @dianarycai.bsky.social · 07/10/2025Excited to be heading to @Princeton @PrincetonSML to talk about my work on variational inference! Event details below: csml.princeton.edu/events/batch...csml.princeton.eduBatch and match: score-based approaches for black-box variational inferenceAbstract: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... 192
Reposted by Diana CaiMartin Trapp @trappmartin.eurosky.social · 02/10/2025Want 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.ioHomeMartin Trapp - Assistant Professor in Machine Learning at KTH Royal Institute of Technology. 1114
Reposted by Diana CaiMartin Trapp @trappmartin.eurosky.social · 01/10/2025EurIPS workshop on AmOrTIzED InfErENcE!!!1! 1145
Reposted by Diana CaiInternational Society for Bayesian Analysis @isba-bayesian.bsky.social · 29/09/2025We 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... 063
Diana Cai @dianarycai.bsky.social · 25/09/2025Excited to attend the Fast and Curious II in Toronto! Here’s the workshop page: raducraiu.com/the-fast-and...raducraiu.comThe Fast and Curious 2: MCMC in ActionSeptember 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… 020
Reposted by Diana CaiInternational Society for Bayesian Analysis @isba-bayesian.bsky.social · 24/09/2025Proposals 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... 177
Reposted by Diana CaiErik Thiede @erikhthiede.bsky.social · 22/09/2025We 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 021
Reposted by Diana CaiSam Power @spmontecarlo.bsky.social · 22/09/2025Some 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... 01820
Diana Cai @dianarycai.bsky.social · 12/09/2025The 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 061
Reposted by Diana CaiKyle Cranmer @kylecranmer.bsky.social · 20/08/2025I haven’t had the chance to look closely, but I’m still eager to share this practical guide on Simulation-based Inference 👇 1213
Reposted by Diana CaiArno 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] 23721
Reposted by Diana CaiDylan Foster 🐢 @djfoster.bsky.social · 11/08/2025Announcing 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 1103
Reposted by Diana CaiEmtiyaz Khan @emtiyaz.mastodon.social.ap.brid.gy · 30/07/2025AISTATS 2026 will be in Morocco! 03510
Diana Cai @dianarycai.bsky.social · 22/07/2025Enjoyed co presenting this tutorial at #uai2025 in Brazil with Yingzhen Li! Enjoyed the conference size and location. Also great company, weather, and food. 0132
Reposted by Diana CaiHanna Wallach @hannawallach.bsky.social · 20/05/2025Exciting 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.comFATE Research Assistant (“Pre-doc”) - Microsoft ResearchThe 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... 23113
Diana Cai @dianarycai.bsky.social · 02/05/2025Come 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. 1124
Reposted by Diana CaiAndrea Montanari @andrea-montanari.bsky.social · 30/04/2025Overfitting 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 1256
Reposted by Diana CaiNeil Shephard @neilshephard.bsky.social · 15/04/2025I 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.eduThe Promise of American Higher EducationNo 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 062
Reposted by Diana Caiantonio vergari ⚔️ short-circuiting @nolovedeeplearning.bsky.social · 13/04/2025props 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. 0122
Reposted by Diana Caiuai2026 @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! 🇧🇷 0129
Reposted by Diana CaiMaxim Raginsky @mraginsky.bsky.social · 03/04/2025To 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.deWe Mourn the Loss of Sayan MukherjeeWe 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... 2364
Diana Cai @dianarycai.bsky.social · 03/04/2025Very 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.comPaperBench: Evaluating AI’s Ability to Replicate AI ResearchWe introduce PaperBench, a benchmark evaluating the ability of AI agents to replicate state-of-the-art AI research. 050
Diana Cai @dianarycai.bsky.social · 20/03/2025Looking 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.iolog-nyc.github.ioLearning Meets Geometry, Graphs, and Networks 041
Reposted by Diana CaiJulyan 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 1/2tinyurl.comPetition to form a Bayesian Deep Learning section at ISBAPetition 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... 1104
Diana Cai @dianarycai.bsky.social · 11/03/2025Enjoying 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.caVideo: 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. 083
Reposted by Diana CaiLuigi Acerbi @lacerbi.bsky.social · 06/03/20251/ 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! 13514