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 💜💜💜

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...

arxiv.org

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...

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…

nyudatascience.medium.com

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/!

Symposium on Probabilistic Machine Learning@probml.bsky.social · 6mo ago

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.

++ 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!

Symposium on Probabilistic Machine Learning@probml.bsky.social · 6mo ago

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.

📢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#...

📢 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...

[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)....

cset.georgetown.edu

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.

The Ivory Tower and AI (Live from IHS's Technology, Liberalism, and Abundance Conference)

YouTube video by Lawfare

youtu.be

It was a pleasure speaking at @yaleisp.bsky.social yesterday!

The Information Society Project at Yale Law School@yaleisp.bsky.social · 10mo ago

This week’s surprise Ideas Lunch examined “formal guarantees” and artificial intelligence. Thank you to @timrudner.bsky.social for a magnificent presentation!

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!

I'm thrilled to join the Schwartz Reisman Institute for Technology and Society as a Faculty Affiliate!

Schwartz Reisman Institute for Technology and Society@torontosri.bsky.social · 12mo ago

🚀Exciting news — SRI welcomes 24 new faculty affiliates for 2025–26, our largest cohort yet! They bring expertise in AI safety, digital culture, health innovation, & sustainability — all dedicated to shaping tech for the public good. Meet them: tinyurl.com/ydpe99a3

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!

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.

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...

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.

nyudatascience.medium.com

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

NYU Center for Data Science@nyudatascience.bsky.social · last yr.

CDS PhD Vlad Sobal and Courant PhD Wancong (Kevin) Zhang show that when good data is scarce, planning beats traditional reinforcement learning. With @kyunghyuncho.bsky.social, @timrudner.bsky.social, and @yann-lecun.bsky.social. nyudatascience.medium.com/when-good-da...

#1: Can Transformers Learn Full Bayesian Inference In Context? with @arikreuter.bsky.social @timrudner.bsky.social @vincefort.bsky.social

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 🤖🧠

Tim G. J. Rudner@timrudner.bsky.social · last yr.

Congratulations to the #AABI2025 Workshop Track Outstanding Paper Award recipients!

Congratulations to the #AABI2025 Proceedings Track Best Paper Award recipients!

Congratulations to the #AABI2025 Workshop Track Outstanding Paper Award recipients!

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!

.@jamesrequeima.bsky.social gave the third invited talk of the day at #AABI2025! **LLM Processes**

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!

Emtiyaz Khan is giving the first invited talk of the day at #AABI2025!

We just kicked off #AABI2025 at NTU in Singapore! We're livestreaming the talks here: timrudner.com/aabi2025! Schedule: approximateinference.org/schedule/ #ICLR2025 #ProbabilisticML

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

AABI 2025 · Luma

7th Symposium on Advances of Approximate Bayesian Inference (AABI) https://approximateinference.org/schedule

lu.ma

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

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/...

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...

cset.georgetown.edu

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...

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.

pewresearch.org

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!

Helen Toner@hlntnr.bsky.social · last yr.

The idea of AI "alignment" seems increasingly confused—is it about content moderation or controlling superintelligence? Is it basically solved or wide open? Rising Tide #2 is about how we got here, and how the core problem is whether we can steer advanced AI at all.

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!

CSET@csetgeorgetown.bsky.social · last yr.

⭐️New Report⭐️ Using AI to make military decisions? CSET’s @emmyprobasco.bsky.social, @hlntnr.bsky.social, Matthew Burtell, and @timrudner.bsky.social analyze the advantages and risks of AI for military decisionmaking. cset.georgetown.edu/publication/...

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/...

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...

cset.georgetown.edu