Bernhard Jaeger
@bernhard-jaeger.bsky.social
430 followers 170 following 63 posts
PhD student with Andreas Geiger and IMPRS-IS. Studying embodied intelligence via autonomous driving.
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bernhard-jaeger.bsky.social
Introducing CaRL: Learning Scalable Planning Policies with Simple Rewards
We show how simple rewards enable scaling up PPO for planning.
CaRL outperforms all prior learning-based approaches on nuPlan Val14 and CARLA longest6 v2, using less inference compute.
arxiv.org/abs/2504.17838
Reposted by Bernhard Jaeger
serge.belongie.com
@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
Reposted by Bernhard Jaeger
eugenevinitsky.bsky.social
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 😀
Percepta | A General Catalyst Transformation Company
Transforming critical institutions using applied AI. Let's harness the frontier.
percepta.ai
bernhard-jaeger.bsky.social
I am attending CoRL 2025 in Seoul.
DM me if you are too and want to chat.
bernhard-jaeger.bsky.social
10 years is a stretch.
For driving this happened in the last 2 years.
When I started my PhD 3 years ago people were still all in on modular stacks and telling me that E2E / IL will never be useful because it is not interpretable and doesn't guarantee safety.
bernhard-jaeger.bsky.social
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
bernhard-jaeger.bsky.social
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.
bernhard-jaeger.bsky.social
Curious: Has an LLM ever replied with "I don't know." or equivalent to a question you asked?
bernhard-jaeger.bsky.social
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
eugenevinitsky.bsky.social
Really capable autonomous weapons systems are right on the horizon. Figuring out your stance on dual use of research isn't really something you can put off anymore.
Reposted by Bernhard Jaeger
kashyap7x.bsky.social
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/ 🧵👇
Reposted by Bernhard Jaeger
katrinrenz.bsky.social
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. 🥳
Reposted by Bernhard Jaeger
haoyuhe.bsky.social
🚀 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/
Reposted by Bernhard Jaeger
maxseitzer.bsky.social
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👇
Reposted by Bernhard Jaeger
astylianou.bsky.social
I have found ACing for NeurIPS this year a miserable experience and I've been struggling to articulate why without basically whining about it being too much work (although.....true. My god the amount of words I'm reading...). But I think I've figured out part of my dislike for this process.
Reposted by Bernhard Jaeger
convergentresearch.bsky.social
How can we identify what capabilities will matter most in an increasingly intelligence-saturated world?

1. Avoid fast obsolescence
2. Complement AI
3. Use the steering wheel, not just the pedals
4. Imagine good futures

+ our AI-inflected priorities across 7 fields.
Prioritizing Fundamental Capabilities for the Intelligence Age
What science & technology should we steer towards?
convergentresearch.substack.com
bernhard-jaeger.bsky.social
Our paper "CaRL: Learning Scalable Planning Policies with Simple Rewards" has been accepted to the Conference on Robot Learning (CoRL 2025).
See you in Seoul at the end of September.

Code & Paper:
github.com/autonomousvi...
GitHub - autonomousvision/CaRL: [CoRL 2025] CaRL: Learning Scalable Planning Policies with Simple Rewards
[CoRL 2025] CaRL: Learning Scalable Planning Policies with Simple Rewards - autonomousvision/CaRL
github.com
Reposted by Bernhard Jaeger
wjakob.bsky.social
My lab will be recruiting at all levels. PhD students, postdocs, and a research engineering position (worldwide for PhD/postdoc, EU candidates only for the engineering position). If you're at SIGGRAPH, I'd love to talk to you if you are interested in any of these.
bernhard-jaeger.bsky.social
You are right, terrorists (and other illegal organizations) do not care about licenses.
But these organizations typically do not make weapons themselves; they buy or smuggle them.

That is the reason why we restrict building weapons. This happens in corporations that are subject to legal oversight.
bernhard-jaeger.bsky.social
If they work at a large company, then their legal team will.

But more importanty good actors do read licenses!
We kept it super concise to respect their time.
bernhard-jaeger.bsky.social
One concern that I have as an AI researcher when publishing code is that it can potentially be used in dual-use applications.
To solve this, we propose Civil Software Licenses. They prevent dual-use while being minimal in the restrictions they impose:

civil-software-licenses.github.io
Civil Software Licenses
civil-software-licenses.github.io
bernhard-jaeger.bsky.social
C++ questions you can get answers from LLMs.
For repo-specific questions, you can use GitHub issues.

Singularity has become the new standard in large GPU-clusters (particularly in academia) where Dockers root access leads to security problems.
bernhard-jaeger.bsky.social
it is planned to be stable. 3.14 isn't out yet. They need to get it stable, get the overhead down and then all the necessary libraries need to add support. I am hopeful that in 1-3 years you can do this in Python as well.