Regularized self-play RL in grounded simulation effectively adapts driving policies to completely new cities. 🗽 -> 🗼 Really enjoyed collaborating on this work, led by Zilin and Saeed! Check out Zilin's post below for a great summary 🧵: x.com/nirhso/statu... 📄: arxiv.org/abs/2602.15891

🚀 Excited to share REPPO, a new on-policy RL agent! TL;DR: Replace PPO with REPPO for fewer hyperparameter headaches and more robust training. REPPO, led by @cvoelcker.bsky.social, will be presented at ICLR 2026. How does it work? 🧵👇

It had been previously reported. Waymo got it taken down very quickly, but not before the Internet Archive got a copy of the text summary: web.archive.org/web/20250703...

📢We’re hiring: W3-Professorship in Machine Learning in Physics @unituebingen.bsky.social! What we’re looking for: Established research profile in a core area of #physics (condensedmatter, quantum or theoretical particle physics), strong track record in research questions related to #ML and/or #AI.

What if you could train agents on a 𝗱𝗲𝗰𝗮𝗱𝗲 of driving experience in 𝘂𝗻𝗱𝗲𝗿 𝗮𝗻 𝗵𝗼𝘂𝗿, on a single GPU? Excited to share 𝙋𝙪𝙛𝙛𝙚𝙧𝘿𝙧𝙞𝙫𝙚 2.0: A fast, friendly driving simulator with RL training via PufferLib at 𝟯𝟬𝟬𝗞 𝘀𝘁𝗲𝗽𝘀/𝘀𝗲𝗰 🐡 + 🚗 youtu.be/LfQ324R-cbE?...

Our new E2E driving method, TransFuser v6, is out on ArXiv. It outperforms all other methods on CARLA by a wide margin, 95 DS on Bench2Drive! We show that minimizing the asymmetry between data annotator and policy is key for strong IL results. Code, models, and paper: ln2697.github.io/lead/

Our staff's 2025 recommendations for individual donors, fresh off the press: coefficientgiving.org/research/su...

This article is from people who have thought about FROs for years and have experience with what works and what doesn't. I have always appreciated the restraint in defining the niche of FROs in the broader ecosystem; it comes out clearly in this piece. www.essentialtechnology.blog/p/the-future...

Unfortunately it appears much of the academic community has reconstituted itself on LinkedIn

I am so happy and excited that this project got funded!

More details at tuebingen.ai/news/ai-powe...

Speaking of RL, Nvidia also just published a survey on the importance of closed-loop training (RL, etc.) in E2E driving. research.nvidia.com/publication/...

waymo.com/blog/2025/12... Waymo is training End-to-End driving models with RL in simulation.

Tired Europe: Let's do tons of AI regulations Wired Europe: Let's do tons of AI open source #aiPULSE2025

This essay, roughly on dual use, has been haunting me for a while now: dl.acm.org/doi/pdf/10.1...

Excited to be at #Neurips2025 this week to present our paper "Monoculture or Multiplicity: Which is it?", joint work with Moritz Hardt. 📄 Paper #1000: openreview.net/pdf?id=DO5Lt... 📍 Wed, Dec 3, 2025 • 4:30 PM – 7:30 PM Feel free to come by and reach out! A short 🧵.

Attending #Neurips2025? Get your personalized Scholar Inbox conference program now to easily navigate the poster sessions and find what you are looking for: www.scholar-inbox.com/conference/n...

Scholar Inbox for NeurIPS is live now.

www.nature.com/articles/d41... ArXiv banned surveys due to AI slop spam. Now we need to wait for them to be peer-reviewed. Bad development, we need to find better solutions to AI slop than banning unreviewed papers. Getting a survey reviewed at a good journal can take over a year. :(

Quick reminder about the EPFL PhD program deadline (EDIC) on Dec 15.

🚀 Introducing TMLR Beyond PDF! 🎬 This is a new, HTML-based submission format for TMLR, that supports interactive figures and videos, along with the usual LaTeX and images. 🎉 Thanks to TMLR Editors in Chief: Hugo Larochelle, @gautamkamath.com, Naila Murray, Nihar B. Shah, and Laurent Charlin!

Congratulations to @cworthy.org on their announcement today! Learn more about this wonderful FRO here: www.youtube.com/watch?v=DA-e...

Come be our colleague in the robotics and embodied intelligence center at NYU! 🔷 Professor in Robotics / Embodied AI (Open Rank) apply.interfolio.com/176977 🔷 Faculty Fellow in Robotics / Embodied AI apply.interfolio.com/177077

🚀 New paper: ConeGS Error-Guided Densification Using Pixel Cones. We improve 3D Gaussian Splatting by placing Gaussians where they matter most: ConeGS adds primitives along pixel-view cones guided by image error, boosting quality with fewer Gaussians. baranowskibrt.github.io/conegs/

New SOTA in imitation learning (IL) for planning in CARLA, and an in-depth analysis of all the overfitting that is going on with IL policies. arxiv.org/abs/2511.07292

Bench2Drive has become a popular autonomous driving benchmark with over 40 methods. Papers only report a few baselines due to space constraints, making it hard to keep an overview. To fix this, we made a leaderboard that contains every published result: github.com/autonomousvi...

📣 JobAlert: 12 days left, hit the Apply button now: Join Tübingen AI Center as a Scientific Project Coordinator for OpenEuroLLM - support, building a series of open-source foundation models for transparent AI in Europe! 👉 lnkd.in/eTptRaFy 📅 Deadline: November 19, 2025 @unituebingen.bsky.social

Personally I would not want to be in the camp of arguing that we simply *must* have 40k vehicular deaths a year. Status quo bias is an insane drug

Here is a formal impossibility result for XAI: Informative Post-Hoc Explanations Only Exist for Simple Functions. I'll give an online presentation about this work next tuesday in @timvanerven.nl 's Theory of Interpretable AI Seminar: arxiv.org/abs/2508.11441 tverven.github.io/tiai-seminar/

Launching the Physical AI AV Dataset! 🚀 huggingface.co/datasets/nvi... One of the largest, most diverse & commercially usable open-source datasets for AVs. - 1727 hours of driving data - Camera, LiDAR, & radar - 25 countries, 2500+ cities This is just the beginning, more features to come!

Big day for autonomous driving research. Nvidia just dropped 1700 hours of public driving data on HuggingFace from over 2500 cities: huggingface.co/datasets/nvi...

Congratulations to our PhD student @takerumiyato.bsky.social for winning the Google PhD Fellowship in the category "Machine Learning and ML Foundations". Takeru is pioneering new neural architectures that improve generalization and efficiency. Check out his research: takerum.github.io

I now understand the position of the YOLO author a lot better than I did before

🚗 Join us for the RealADSim Workshop @ ICCV 2025! 🗓 Oct 19 morning | 📍 Hawaii Conv. Center, 305A Featuring exciting talks and winner presentations from our challenges (70+ regs, ~30 subs). Don’t miss it! 🎉 #ICCV2025

🚀Excited to share our recent work on test-time scaling for feed-forward Gaussian splatting: we learn a recurrent model ReSplat that is able to iteratively improve the reconstruction quality in a feed-forward manner! haofeixu.github.io/resplat/

Personal programs for ICCV 2025 are now available at: www.scholar-inbox.com/conference/i...

Just published the CaRL v1.1 release on GitHub. Lots of software engineering improvements, including more stable code, better determinism, and lower RAM and CPU requirements. This allowed me to double # envs. The resulting model gained a nice +9 DS boost. github.com/autonomousvi...

@belongielab.org welcomes applications for a PhD position in CV/ML (fine-grained analysis of multimodal data, 2D/3D generative models, misinformation detection, self-supervised learning) / Apply though the ELLIS portal / Deadline 31-Oct-2025

We're finally out of stealth: percepta.ai We're a research / engineering team working together in industries like health and logistics to ship ML tools that drastically improve productivity. If you're interested in ML and RL work that matters, come join us 😀

I am attending CoRL 2025 in Seoul. DM me if you are too and want to chat.

We're recruiting our next batch of interns. Come join the team! nvidia.wd5.myworkdayjobs.com/en-US/NVIDIA...

IMPRS-IS is recruiting another round of PhD students this year. If you are looking for a PhD position in machine learning or robotics in Germany, this is the best program to apply to. imprs.is.mpg.de/application

thinkingmachines.ai/blog/defeati... Blog post about determinism in LLMs. They make a very interesting point at the end about how the numerical differences between data collection and training forward passes can make an RL algorithm lose its On-policy property.

Curious: Has an LLM ever replied with "I don't know." or equivalent to a question you asked?

Civil software licenses are a useful tool for those who decide that they don't want their research software be used in dual use applications: civil-software-licenses.github.io

Announcing the @iccv.bsky.social NAVSIM Challenge! What's new? We're testing not only on real recordings, but also perturbed futures generated from the real ones via pseudo-simulation! $8K in prizes + several $1.5k travel grants. Submit by September 20! opendrivelab.com/challenge2025/ 🧵👇

After finishing my papers for my PhD, I spent some time exploring new directions. I ended up working on Diffusion Language Models with @haoyuhe.bsky.social (he made it work 🚀), @yongcao.bsky.social, @andreasgeiger.bsky.social. I learned a lot of new things and I am very excited about the results. 🥳

🚀 Introducing our new paper, MDPO: Overcoming the Training-Inference Divide of Masked Diffusion Language Models. 📄 Paper: www.scholar-inbox.com/papers/He202... arxiv.org/pdf/2508.13148 💻 Code: github.com/autonomousvi... 🌐 Project Page: cli212.github.io/MDPO/

Introducing DINOv3 🦕🦕🦕 A SotA-enabling vision foundation model, trained with pure self-supervised learning (SSL) at scale. High quality dense features, combining unprecedented semantic and geometric scene understanding. Three reasons why this matters👇