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Tim G. J. Rudner

@timrudner.bsky.social
5.8K followers 566 following 89 posts

Assistant Professor, University of Toronto. Junior Research Fellow, Trinity College, Cambridge. AI Fellow, Georgetown University. Probabilistic Machine Learning, AI Safety & AI Governance. Prev: Oxford, Yale, UC Berkeley, NYU. timrudner.com

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Reposted by Tim G. J. Rudner
yingwww.bsky.social @yingwww.bsky.social · 16/03/2026
More details can be found in our paper arxiv.org/abs/2603.12231. Many hanks to my collaborators @oumayma @gaoyuezhou.bsky.social @randall @timrudner.bsky.social and amazing advisors @yann-lecun.bsky.social @mengyer.bsky.social for their guidance and support 💜💜💜
arxiv.org
Temporal Straightening for Latent Planning
Learning good representations is essential for latent planning with world models. While pretrained visual encoders produce strong semantic visual features, they are not tailored to planning and contai...
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Reposted by Tim G. J. Rudner
NYU Center for Data Science @nyudatascience.bsky.social · 18/03/2026
CDS PhD student Yilun Kuang, CDS founding director @yann-lecun.bsky.social, @timrudner.bsky.social, and others successfully applied biological sparsity to AI. Their new technique allows computer vision models to ignore 90% of data without losing accuracy. nyudatascience.medium.com/new-represen...
nyudatascience.medium.com
New Representation Learning Technique Matches the Efficiency of the Human Brain
The human brain processes information with remarkable efficiency, leaving most neural pathways inactive at any given moment to save energy…
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Tim G. J. Rudner @timrudner.bsky.social · 12/03/2026
The deadline to submit papers to ProbML's proceedings and workshop tracks is **March 20**! 📣Check out the CfP and submit here: probml.cc/call/!
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Tim G. J. Rudner @timrudner.bsky.social · 10/02/2026
++ Major News ++ AABI is now ProbML: the Symposium on Probabilistic Machine Learning! Very excited about this! ProbML will be co-located with ICML in Seoul! Check out our new website: probml.cc!
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Tim G. J. Rudner @timrudner.bsky.social · 16/10/2025
📢The Information Society Project (@yaleisp.bsky.social) at Yale Law School is recruiting a new batch of *Resident Fellows*! It's a great community and a good opportunity for anyone interested in the intersection of *AI governance and the law*. Deadline: Dec 31 Apply: law.yale.edu/isp/join-us#...
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Tim G. J. Rudner @timrudner.bsky.social · 16/10/2025
📢 Exciting opportunity: @csetgeorgetown.bsky.social is hiring a Research or Senior Fellow to help lead their **frontier AI policy research efforts**. I've been working with CSET since 2019 and continue to be impressed by the quality and impact of CSET's work! cset.georgetown.edu/job/research...
cset.georgetown.edu
[Research or Senior] Fellow - Frontier AI | Center for Security and Emerging Technology
The Center for Security and Emerging Technology (CSET) is currently seeking candidates to lead our Frontier AI research efforts, either as a Research Fellow or Senior Fellow (depending on experience)....
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Reposted by Tim G. J. Rudner
Lawfare @lawfaremedia.org · 01/10/2025
Today's Lawfare Daily is a @scalinglaws.bsky.social episode, produced with @utexaslaw.bsky.social, where @kevintfrazier.bsky.social spoke to @gushurwitz.bsky.social and @neilchilson.bsky.social about how academics can overcome positively contribute to the work associated with AI governance.
youtu.be
The Ivory Tower and AI (Live from IHS's Technology, Liberalism, and Abundance Conference)
YouTube video by Lawfare
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Tim G. J. Rudner @timrudner.bsky.social · 26/09/2025
It was a pleasure speaking at @yaleisp.bsky.social yesterday!
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Reposted by Tim G. J. Rudner
The Information Society Project at Yale Law School @yaleisp.bsky.social · 25/09/2025
Tomorrow’s ISP Ideas Lunch update: We’re excited to host @timrudner.bsky.social (U. Toronto & Vector Institute). He’ll speak on “formal guarantees” in AI + key AI safety concepts!
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Tim G. J. Rudner @timrudner.bsky.social · 16/08/2025
I'm thrilled to join the Schwartz Reisman Institute for Technology and Society as a Faculty Affiliate!
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Reposted by Tim G. J. Rudner
NYU Center for Data Science @nyudatascience.bsky.social · 12/08/2025
Congrats! CDS PhD Student Vlad Sobal, Courant PhD Student Kevin Zhang, CDS Faculty Fellow timrudner.bsky.social, CDS Profs @kyunghyuncho.bsky.social and @yann-lecun.bsky.social, and Brown's Randall Balestriero won the Best Paper Award at ICML's 'Building Physically Plausible World Models' Workshop!
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NYU Center for Data Science @nyudatascience.bsky.social · 17/07/2025
CDS Faculty Fellow @timrudner.bsky.social served as general chair for the 7th Symposium on Advances in Approximate Bayesian Inference, held April alongside ICLR 2025. The symposium explored connections between probabilistic machine learning and AI safety, NLP, RL, and AI for science.
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Reposted by Tim G. J. Rudner
NYU Center for Data Science @nyudatascience.bsky.social · 14/05/2025
CDS Faculty Fellow Tim G. J. Rudner (@timrudner.bsky.social) and colleagues at CSET — @emmyprobasco.bsky.social, @hlntnr.bsky.social, and Matthew Burtell — examine responsible AI deployment in military decision-making. Read our post on their policy brief: nyudatascience.medium.com/ai-in-milita...
nyudatascience.medium.com
AI in Military Decision Support: Balancing Capabilities with Risk
CDS Faculty Fellow Tim G. J. Rudner and colleagues at CSET outline responsible practices for deploying AI in military decision-making.
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Tim G. J. Rudner @timrudner.bsky.social · 07/05/2025
The result in this paper I'm most excited about: We showed that planning in world model latent space allows successful zero-shot generalization to *new* tasks! Project website: latent-planning.github.io Paper: arxiv.org/abs/2502.14819
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Reposted by Tim G. J. Rudner
David Rügamer @davidruegamer.bsky.social · 01/05/2025
#1: Can Transformers Learn Full Bayesian Inference In Context? with @arikreuter.bsky.social @timrudner.bsky.social @vincefort.bsky.social
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Reposted by Tim G. J. Rudner
Christian A. Naesseth @canaesseth.bsky.social · 30/04/2025
Very excited that our work (together with my PhD student @gbarto.bsky.social and our collaborator Dmitry Vetrov) was recognized with a Best Paper Award at #AABI2025! #ML #SDE #Diffusion #GenAI 🤖🧠
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Tim G. J. Rudner @timrudner.bsky.social · 29/04/2025
Congratulations to the #AABI2025 Proceedings Track Best Paper Award recipients!
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Tim G. J. Rudner @timrudner.bsky.social · 29/04/2025
Congratulations to the #AABI2025 Workshop Track Outstanding Paper Award recipients!
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Tim G. J. Rudner @timrudner.bsky.social · 29/04/2025
We concluded #AABI2025 with a panel discussion on **The Role of Probabilistic Machine Learning in the Age of Foundation Models and Agentic AI** Thanks to Emtiyaz Khan, Luhuan Wu, and @jamesrequeima.bsky.social for participating!
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Tim G. J. Rudner @timrudner.bsky.social · 29/04/2025
.@jamesrequeima.bsky.social gave the third invited talk of the day at #AABI2025! **LLM Processes**
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Tim G. J. Rudner @timrudner.bsky.social · 29/04/2025
Luhuan Wu is giving the second invited talk of the day at #AABI2025! **Bayesian Inference for Invariant Feature Discovery from Multi-Environment Data** Watch it on our livestream: timrudner.com/aabi2025!
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Tim G. J. Rudner @timrudner.bsky.social · 29/04/2025
Emtiyaz Khan is giving the first invited talk of the day at #AABI2025!
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Tim G. J. Rudner @timrudner.bsky.social · 29/04/2025
We just kicked off #AABI2025 at NTU in Singapore! We're livestreaming the talks here: timrudner.com/aabi2025! Schedule: approximateinference.org/schedule/ #ICLR2025 #ProbabilisticML
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Tim G. J. Rudner @timrudner.bsky.social · 18/04/2025
Make sure to get your tickets to #AABI2025 if you are in Singapore on April 29 (just after #ICLR2025) and interested in probabilistic ML, inference, and decision-making! Tickets (free but limited!): lu.ma/5syzr79m More info: approximateinference.org #ProbabilisticML #Bayes #UQ #ICLR2025 #AABI2025
lu.ma
AABI 2025 · Luma
7th Symposium on Advances of Approximate Bayesian Inference (AABI) https://approximateinference.org/schedule
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Reposted by Tim G. J. Rudner
Christian A. Naesseth @canaesseth.bsky.social · 13/04/2025
Make sure to get your tickets to AABI if you are in Singapore on April 29 (just after #ICLR2025) and interested in probabilistic modeling, inference, and decision-making! Tickets (free but limited!): lu.ma/5syzr79m More info: approximateinference.org #Bayes #MachineLearning #ICLR2025 #AABI2025
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Reposted by Tim G. J. Rudner
NYU Center for Data Science @nyudatascience.bsky.social · 17/04/2025
CDS Faculty Fellow @timrudner.bsky.social, with @minanrn.bsky.social & Christian Schoeberl, analyzed AI explainability evals, finding a focus on system correctness over real-world effectiveness. They call for the creation of standards for AI safety evaluations. cset.georgetown.edu/publication/...
cset.georgetown.edu
Putting Explainable AI to the Test: A Critical Look at AI Evaluation Approaches | Center for Security and Emerging Technology
Explainability and interpretability are often cited as key characteristics of trustworthy AI systems, but it is unclear how they are evaluated in practice. This report examines how researchers evaluat...
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Tim G. J. Rudner @timrudner.bsky.social · 05/04/2025
A great Pew Research survey: "How the U.S. Public and AI Experts View Artificial Intelligence" Everyone working in ML should read this and ask themselves why experts and non-experts have such divergent views about the potential of AI to have a positive impact. www.pewresearch.org/internet/202...
pewresearch.org
How the U.S. Public and AI Experts View Artificial Intelligence
These groups are far apart in their enthusiasm and predictions for AI, but both want more personal control and worry about too little regulation.
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Tim G. J. Rudner @timrudner.bsky.social · 04/04/2025
This is an excellent article! Steering foundation models towards trustworthy behaviors is one of the most important research directions today. Helen is a deep and rigorous thinker, and you should definitely subscribe to her Substack!
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Tim G. J. Rudner @timrudner.bsky.social · 01/04/2025
I'm super excited to see our #CSET report on **AI-enabled military decision support systems** being released today! Great work by @emmyprobasco.bsky.social, @hlntnr.bsky.social, and Matthew Burtell!
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Reposted by Tim G. J. Rudner
CSET @csetgeorgetown.bsky.social · 27/02/2025
Evaluations of AI explainability claims are not clear cut. @minanrn.bsky.social, @timrudner.bsky.social & Christian Schoeberl show that in the domain of recommender systems – where explanations are key – there are different notions of what explainability means: cset.georgetown.edu/publication/...
cset.georgetown.edu
Putting Explainable AI to the Test: A Critical Look at AI Evaluation Approaches | Center for Security and Emerging Technology
Explainability and interpretability are often cited as key characteristics of trustworthy AI systems, but it is unclear how they are evaluated in practice. This report examines how researchers evaluat...
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Reposted by Tim G. J. Rudner
Mina Narayanan @minanrn.bsky.social · 20/02/2025
[1/6] Discourse around AI evaluations has focused a lot on testing LLMs for catastrophic risks. In a new @csetgeorgetown.bsky.social report, Christian Schoeberl, @timrudner.bsky.social, and I explore another side of AI evals: evals of claims about the trustworthiness of AI systems
cset.georgetown.edu
Putting Explainable AI to the Test: A Critical Look at AI Evaluation Approaches | Center for Security and Emerging Technology
Explainability and interpretability are often cited as key characteristics of trustworthy AI systems, but it is unclear how they are evaluated in practice. This report examines how researchers evaluat...
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Tim G. J. Rudner @timrudner.bsky.social · 19/02/2025
Check out our paper on the quality of interpretability evaluations of recommender systems: cset.georgetown.edu/publication/... Led by @minanrn.bsky.social and Christian Schoeberl! @csetgeorgetown.bsky.social
cset.georgetown.edu
Putting Explainable AI to the Test: A Critical Look at AI Evaluation Approaches | Center for Security and Emerging Technology
Explainability and interpretability are often cited as key characteristics of trustworthy AI systems, but it is unclear how they are evaluated in practice. This report examines how researchers evaluat...
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Reposted by Tim G. J. Rudner
Desi R Ivanova @desirivanova.bsky.social · 12/02/2025
📣 Jobs alert We’re hiring postdoc and research engineer to work on UQ for LLMs!! Details ⬇️ #ai #llm #uq
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Reposted by Tim G. J. Rudner
Christian A. Naesseth @canaesseth.bsky.social · 12/02/2025
You still have a chance to submit your work to all tracks for AABI. New deadline is February 14 for both Workshop and Proceedings track! #AABI2025 #ML #ICLR2025 #Stats #Bayes
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Reposted by Tim G. J. Rudner
Vincent Fortuin @vincefort.eurosky.social · 06/02/2025
Great news for everyone struggling with concurrent AABI and UAI submissions: We've extended the AABI deadline by one week, so there's no excuse not to submit anymore 😉
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Reposted by Tim G. J. Rudner
Christian A. Naesseth @canaesseth.bsky.social · 06/02/2025
We have extended the #AABI workshop and proceedings deadlines! *New deadlines:* Workshop Track: February 14, AoE Proceedings Track: February 14, AoE approximateinference.org/call/ #ProbML #AABI #ICLR #Bayes
approximateinference.org
Call for Papers
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Tim G. J. Rudner @timrudner.bsky.social · 06/02/2025
We have extended the workshop and proceedings deadlines: *New deadlines:* Workshop Track: February 14, AoE Proceedings Track: February 14, AoE approximateinference.org/call/ #ProbML #AABI #ICLR
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Tim G. J. Rudner @timrudner.bsky.social · 05/02/2025
Submit your work to the 7th Symposium on Advances in Approximate Bayesian Inference! #AABI This year, #AABI will be co-located with #ICLR2025! Workshop Track: February 7, AoE Proceedings Track: February 7, AoE Fast Track: February 18 / March 14, AoE approximateinference.org/call/
approximateinference.org
Call for Papers
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Tim G. J. Rudner @timrudner.bsky.social · 24/01/2025
I'm very grateful to @csetgeorgetown.bsky.social for supporting my research on advancing uncertainty quantification in LLMs! Reach out if you want to collaborate!
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Tim G. J. Rudner @timrudner.bsky.social · 17/01/2025
I was honored to be named a Rising Star in Generative AI by @umassamherst.bsky.social! The goal of my research is to create robust and transparent machine learning models, and **I'm on the faculty job market.** Thank you to @nyudatascience.bsky.social for the great article!
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Alondra Nelson @alondra.bsky.social · 28/11/2024
This editorial is rather astonishing in urging the public to move from "fear" to "caution" regarding the use of AI in medicine, without fully acknowledging the challenges that AI in clinical care and medical research have already posed, and without recommending the guardrails needed to garner trust.
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Tim G. J. Rudner @timrudner.bsky.social · 19/11/2024
Want to do a PhD in ML? Apply to this amazing program, run by Oxford and Imperial!
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Tim G. J. Rudner @timrudner.bsky.social · 17/11/2024
I made a starter pack for researchers in probabilistic machine learning. DM/reply if you want to be added! go.bsky.app/DuCtJqC
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