Jimmy (Tsung-Yen) Yang

47 posts

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Jimmy (Tsung-Yen) Yang

Jimmy (Tsung-Yen) Yang

@JimmyTYYang1

Researcher at @Waymo Research; ML/Embodied AI; PhD @Princeton ECE

NYC Katılım Ağustos 2018
281 Takip Edilen352 Takipçiler
Jimmy (Tsung-Yen) Yang retweetledi
Basile Terver
Basile Terver@BasileTerv987·
📢 Accepted to TMLR, with reproducibility certification 🏅 v2 of our JEPA-WM study (arXiv:2512.24497) is out, with new data-scaling experiments, a Lipschitz analysis of multistep rollout training, and extended discussions. Recap + what's new 👇 w/ @JimmyTYYang1, Jean Ponce, @AdrienBardes, @ylecun
Basile Terver@BasileTerv987

My first PhD paper is out! 🎓 "What Drives Success in Physical Planning with Joint-Embedding Predictive World Models?" tl:dr: JEPA-WMs for robotics: learn dynamics on top of visual encoders, optimize actions towards goal 👇 w/ @JimmyTYYang1, Jean Ponce, @AdrienBardes, @ylecun

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Jimmy (Tsung-Yen) Yang
Jimmy (Tsung-Yen) Yang@JimmyTYYang1·
It was great to work with @BasileTerv987 on this project! The JEPA world model works well on unseen robot tasks. Thanks Basile for the amazing work!
Basile Terver@BasileTerv987

My first PhD paper is out! 🎓 "What Drives Success in Physical Planning with Joint-Embedding Predictive World Models?" tl:dr: JEPA-WMs for robotics: learn dynamics on top of visual encoders, optimize actions towards goal 👇 w/ @JimmyTYYang1, Jean Ponce, @AdrienBardes, @ylecun

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Chris Paxton
Chris Paxton@chris_j_paxton·
LLMs can't plan or reason, but with help, they can be an important part of systems that do solve really hard reasoning tasks
Chris Paxton tweet media
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Chris Paxton
Chris Paxton@chris_j_paxton·
VLMNM workshop starting off strong with this talk by Subbarao Kambhampati of ASU. A really interesting discussion about the way LLMs and VLMs "think" and how it's different. Which leads to...
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Chris Paxton
Chris Paxton@chris_j_paxton·
Unitree g1 2-3 kg per hand payload 2 hrs battery life Much smaller than expected in person
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Chris Paxton
Chris Paxton@chris_j_paxton·
In case you don't get the reference, Clever Hans was a horse that was claimed to be able to do math, but was really just watching its trainer. In a lot of these LLM examples, the user does most of the hard work of verifying the solution.
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Find me on bsky @colin-fraser.net@colin_fraser

When you add stuff like this when it gets it wrong you’re just doing a clever hans thing. The way to see that is to try adding the same thing when it gets it right.

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Cheng Chi
Cheng Chi@chichengcc·
This model is far from perfect. For example, it doesn't work well under direct sunlight since it constantly rained at Stanford during our data collection effort. Please share your failure cases! Hopefully, we can have a community-based effort to train an even more robust model!
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Cheng Chi
Cheng Chi@chichengcc·
Weights drop ⚠️ We released our pre-trained model for the cup arrangement task trained on 1400 demos! We aim to enable anyone to deploy UMI on their robot to arrange any "espresso cup with saucer" they buy on Amazon. github.com/real-stanford/…
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Peter Mitrano
Peter Mitrano@PeterMitrano·
Raw video of us collecting data for behavior cloning. Not flashy, but honestly pretty fast & efficient. @MarkVanderMerwe helping with cable management :)
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Jimmy (Tsung-Yen) Yang
Jimmy (Tsung-Yen) Yang@JimmyTYYang1·
Please check out our Spot Sim2Real repo! github.com/facebookresear… It aims to reproduce the demos of ASC and LSC. We open-source the weights of the navigation, picking, and place skills, and the infrastructure to use Large Language Models (LLMs) to interact with those skills!
AI Habitat@ai_habitat

Habitat stable version v0.2.5 released! -- 🤖 Hardware bridge for BD Spot -- 📷 Improved PBR rendering for better synthetic scene visuals -- 🤗 ai-habitat on HuggingFace -- 🏠 Habitat Synthetic Scenes Dataset (HSSD) and more... github.com/facebookresear… github.com/facebookresear…

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Jimmy (Tsung-Yen) Yang
Jimmy (Tsung-Yen) Yang@JimmyTYYang1·
@chris_j_paxton I saw this too!!! It will be big and transformative if this is true! Look forward to seeing other researchers to verify this
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Chris Paxton
Chris Paxton@chris_j_paxton·
Recent claims about manufacturing room temperature superconductors. This is the definition of "big if true" A bit sad to be a cynic but I can't imagine it is. Hope I'm wrong
Prakash@8teAPi

Real Superconductors Might Be Here - we won’t know for sure for a couple of years - Wikipedia page is a litany of hoaxes - current claim is full on room temperature and pressure full superconductor manufactured from lead. - superconducting because of its structure - if true would be another Industrial Revolution Super annoying that you can’t really know whether it’s real for a loong time. But it’s in Korea and they have all the heavy industry that can deploy quickly. arxiv.org/pdf/2307.12008…

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Jimmy (Tsung-Yen) Yang retweetledi
Boston Dynamics
Boston Dynamics@BostonDynamics·
“We were very interested in testing out high-level reasoning and planning. We wanted to see...if the robot could figure out the steps it needed to take to solve the problem.” - Discover why @MetaAI chose Spot for their research. bit.ly/44ILlhG
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Keşfet

@AdrienBardes @ylecun @BasileTerv987 @chris_j_paxton @su_lin_liu @AIatMeta @ai_habitat @chichengcc