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Eugene Vinitsky 🍒 @eugenevinitsky.bsky.social · 6d

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

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Eugene Vinitsky 🍒 @eugenevinitsky.bsky.social · 15d

We've hired some *fantastic* researchers but our startup is still looking for 2-3 more people with skills in ML/RL/LLMs. If you'd like to work on some transformative applied problems, hit me up. We'll be launching publicly soon too...

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Kashyap Chitta @kashyap7x.bsky.social · 20d

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

NVIDIA 2026 Internships: PhD Autonomous Vehicles Research - US

By submitting your resume, you’re expressing interest in one of our 2026 Autonomous Vehicles focused Research Internships. We’ll review resumes on an ongoing basis, and a recruiter may reach out if yo...

nvidia.wd5.myworkdayjobs.com

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Jia-Bin Huang @jbhuang0604.bsky.social · 22d

How AI Taught Itself to See

Self-supervised learning is fascinating! How can AI learn from images only without labels?

In this video, we’ll build the method from first principles and uncover the key ideas behind CLIP, MAE, SimCLR, and DINO (v1–v3).

Video link: youtu.be/oGTasd3cliM

How AI Taught Itself to See [DINOv3]

YouTube video by Jia-Bin Huang

youtu.be

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Kashyap Chitta @kashyap7x.bsky.social · 23d

Putting the final touches on your submission? Just a few days left to enter the @iccv.bsky.social NAVSIM Challenge! Deadline: September 20. $8K in prizes and several travel grants are on the line!

Kashyap Chitta @kashyap7x.bsky.social · Sep 1

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/ 🧵👇

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Eugene Vinitsky 🍒 @eugenevinitsky.bsky.social · 24d

Found this marvelous little course full of readings to trace the evolution of computer science and its canonical ideas
graphics.stanford.edu/courses/cs20...

CS208: Canon of Computer Science, Spring 2010

graphics.stanford.edu

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ELLIS Institute Tübingen @ellisinsttue.bsky.social · 27d

Our Principal Investigators Antonio Orvieto, Celestine Mendler-Dünner, Maximilian Dax, Rediet Abebe, @shiweiliu.bsky.social, T. Konstantin Rusch, and @wielandbrendel.bsky.social are looking for motivated students interested in internships.
Apply here: docs.google.com/forms/d/e/1F...

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Kashyap Chitta @kashyap7x.bsky.social · Sep 1

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/ 🧵👇

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Kashyap Chitta @kashyap7x.bsky.social · Sep 1

Your score depends on:
1️⃣ Performance on real frames
2️⃣ Performance on "nearest" perturbed futures to your model's past outputs,
making this the *first* challenge testing robustness against causal confusion and compounding errors on real driving data 🚗

Get started here: github.com/autonomousvi...

GitHub - autonomousvision/navsim: [CoRL '25] Pseudo-Simulation for Autonomous Driving; [NeurIPS '24] NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking

[CoRL '25] Pseudo-Simulation for Autonomous Driving; [NeurIPS '24] NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking - autonomousvision/navsim

github.com

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Kashyap Chitta @kashyap7x.bsky.social · Sep 1

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/ 🧵👇

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ELLIS @ellis.eu · Aug 29

🎓 Interested in a #PhD in machine learning or #AI? The ELLIS PhD Program connects top students with leading researchers across Europe. The application portal opens on Oct 1st. Curious? Join our info session on the same day. Get all the info 👉

ELLIS PhD Program: Call for Applications 2025

The ELLIS mission is to create a diverse European network that promotes research excellence and advances breakthroughs in AI, as well as a pan-European PhD program to educate the next generation of AI researchers. ELLIS also aims to boost economic growt...

ellis.eu

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Christoph Lampert (MLCV@ISTA) @mlcv-at-ista.bsky.social · Aug 28

Let's push for the obvious solution: Dear @neuripsconf.bsky.social ! Allow authors to present accepted papers at EurIPS instead of NeurIPS rather than just additionally. Likely, at least 500 papers would move to Copenhagen, problem solved.

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haoyuhe.bsky.social @haoyuhe.bsky.social · Aug 20

🚀 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/

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Max Seitzer @maxseitzer.bsky.social · Aug 14

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👇

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Bernhard Jaeger @bernhard-jaeger.bsky.social · Aug 8

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

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Rowan McAllister @rowantmc.bsky.social · Aug 5

At TRI’s newest division: Automated Driving Advanced Development, we’re building a clean-slate, end-to-end autonomy stack. We're hiring, with open roles in learning, infra, and validation: www.tri.global/careers#open...

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Andrei Bursuc @abursuc.bsky.social · Jul 21

1/ Can open-data models beat DINOv2? Today we release Franca, a fully open-sourced vision foundation model. Franca with ViT-G backbone matches (and often beats) proprietary models like SigLIPv2, CLIP, DINOv2 on various benchmarks setting a new standard for open-source research.

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Nathan Lambert @natolambert.bsky.social · Jul 19

Adding a nice way to visualize the PPO objective to the rlhf book.
Core for policy-gradient is L is proportional to R*A (R=policy ratio, A = advantage).
PPO makes good actions more likely, up to a point.
PPO makes bad actions less likely, up to a point.

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Kashyap Chitta @kashyap7x.bsky.social · Jul 20

What if the cherry was actually cake? (source: arxiv.org/abs/2506.08007)

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Ingmar Weber @ingmarweber.de · Jul 18

🚨Job Alert
W2 (TT W3) Professorship in Computer Science "AI for People & Society"
@saarland-informatics-campus.de/@uni-saarland.de is looking to appoint an outstanding individual in the field of AI for people and society who has made significant contributions in one or more of the following areas:

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EurIPS Conference @euripsconf.bsky.social · Jul 16

EurIPS is coming! 📣 Mark your calendar for Dec. 2-7, 2025 in Copenhagen 📅

EurIPS is a community-organized conference where you can present accepted NeurIPS 2025 papers, endorsed by @neuripsconf.bsky.social and @nordicair.bsky.social and is co-developed by @ellis.eu

eurips.cc

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Jia-Bin Huang @jbhuang0604.bsky.social · Jul 16

In an era of billion-parameter models everywhere, it's incredibly refreshing to see how a fundamental question can be formulated and solved with simple, beautiful math.

- How should we orient a solar panel ☀️🔋? -

Zero AI! If you enjoy math, you'll love this!

Video: www.youtube.com/watch?v=ZKzL...

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ELLIS @ellis.eu · Jul 16

📢 Present your NeurIPS paper in Europe!

Join EurIPS 2025 + ELLIS UnConference in Copenhagen for in-person talks, posters, workshops and more. Registration opens soon; save the date:

📅 Dec 2–7, 2025
📍 Copenhagen 🇩🇰
🔗eurips.cc

#EurIPS
@euripsconf.bsky.social‬

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Christian Wolf @chriswolfvision.bsky.social · Jul 15

I really like this paper on relative positional encodings using projective geometry for multi-view transformers, by Li et al. (Berkeley/Nvidia/HKU).

It is elegant: in special situations, it defaults to known baselines like GTA (if identity intrinsics) and RoPE (same cam).

arxiv.org/abs/2507.10496

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Bernhard Jaeger @bernhard-jaeger.bsky.social · Jul 15

We have released the code for our work, CaRL: Learning Scalable Planning Policies with Simple Rewards.

The repository contains the first public code base for training RL agents with the CARLA leaderboard 2.0 and nuPlan.

github.com/autonomousvi...

GitHub - autonomousvision/CaRL: [ArXiv 2025] CaRL: Learning Scalable Planning Policies with Simple Rewards

[ArXiv 2025] CaRL: Learning Scalable Planning Policies with Simple Rewards - autonomousvision/CaRL

github.com

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