Jonah Philion (@philionjonah) 's Twitter Profile
Jonah Philion

@philionjonah

PhD @UofT/@VectorInst + senior research scientist @NVIDIA, @harvardphysics/@harvardmath '18, @necmusic

ID: 1066435342889308162

linkhttps://scholar.google.com/citations?user=VVIAoY0AAAAJ&hl=en calendar_today24-11-2018 20:56:13

258 Tweet

746 Followers

538 Following

Sara Oblak (@sara_oblak) 's Twitter Profile Photo

🎉 I’m very excited to announce that our paper “ReMatching Dynamic Reconstruction Flow” has been accepted to ICLR 2025! 🎉

Sasha Rush (@srush_nlp) 's Twitter Profile Photo

What to know about DeepSeek youtu.be/0eMzc-WnBfQ?si… In which we aim to understand MoE, o1, scaling, tech reporting, modern semiconductors, microeconomics, and international geopolitics.

Eugene Vinitsky 🍒🦋 (@eugenevinitsky) 's Twitter Profile Photo

We've built a simulated driving agent that we trained on 1.6 billion km of driving with no human data. It is SOTA on every planning benchmark we tried. In self-play, it goes 20 years between collisions.

We've built a simulated driving agent that we trained on 1.6 billion km of driving with no human data. 
It is SOTA on every planning benchmark we tried.
In self-play, it goes 20 years between collisions.
Samuel Sokota (@ssokota) 's Twitter Profile Photo

Model-free deep RL algorithms like NFSP, PSRO, ESCHER, & R-NaD are tailor-made for games with hidden information (e.g. poker). We performed the largest-ever comparison of these algorithms. We find that they do not outperform generic policy gradient methods, such as PPO. 1/N

Model-free deep RL algorithms like NFSP, PSRO, ESCHER, & R-NaD are tailor-made for games with hidden information (e.g. poker).

We performed the largest-ever comparison of these algorithms.

We find that they do not outperform generic policy gradient methods, such as PPO. 1/N
valeo.ai (@valeoai) 's Twitter Profile Photo

🚗 Ever wondered if an AI model could learn to drive just by watching YouTube? 🎥👀 We trained a 1.2B parameter model on 1,800+ hours of raw driving videos. No labels. No maps. Just pure observation. And it works! 🤯 🧵👇 [1/10]

🚗 Ever wondered if an AI model could learn to drive just by watching YouTube? 🎥👀

We trained a 1.2B parameter model on 1,800+ hours of raw driving videos.

No labels. No maps. Just pure observation.

And it works! 🤯

🧵👇 [1/10]
Purvi Goel (@purvigoel3) 's Twitter Profile Photo

Some thoughts on the difficulty of animation timing, particularly in the context of learned motion inbetweening. medium.com/@goel.purvi/th…

Daphne Cornelisse (@daphne_cor) 's Twitter Profile Photo

Sim agents are key for developing autonomous systems for safety-critical systems, like self-driving cars. We're open-sourcing sim agents that achieve a 99.8% success rate with < 0.8% failures on the Waymo Dataset. These agents are built through scaling self-play.

Jay Z. Wu (@jayzhangjiewu) 's Twitter Profile Photo

Excited to share our #CVPR2025 paper: Difix3D+ Difix3D+ reimagines 3D reconstruction with single-step diffusion, distilling 2D generative priors for realistic novel view synthesis from large viewpoint shifts. 📄Paper: arxiv.org/abs/2503.01774 🌐Website: research.nvidia.com/labs/toronto-a…

Xuanchi Ren (@xuanchi13) 's Twitter Profile Photo

🚀Excited to introduce GEN3C #CVPR2025, a generative video model with an explicit 3D cache for precise camera control. 🎥It applies to multiple use cases, including single-view and sparse-view NVS🖼️ and challenging settings like monocular dynamic NVS and driving simulation🚗.

Kirill Neklyudov (@k_neklyudov) 's Twitter Profile Photo

SuperDiff goes super big! - Spotlight at #ICLR2025!🥳 - Stable Diffusion XL pipeline on HuggingFace huggingface.co/superdiff/supe… made by Viktor Ohanesian - New results for molecules in camera-ready arxiv.org/abs/2412.17762 Let's celebrate with a prompt guessing game in the thread👇

SuperDiff goes super big!
- Spotlight at #ICLR2025!🥳
- Stable Diffusion XL pipeline on HuggingFace huggingface.co/superdiff/supe… made by <a href="/OhanesianViktor/">Viktor Ohanesian</a>
- New results for molecules in camera-ready arxiv.org/abs/2412.17762 
Let's celebrate with a prompt guessing game in the thread👇
Maximilian Igl (@maxiigl) 's Twitter Profile Photo

Our #CVPR2025 paper on training traffic models in closed loop is an Oral at CVPR!! The work was done by Zhejun Zhang (zhejz.github.io) in collaboration with Peter Karkus, me, Wenhao Ding, Yuxiao Chen, Boris Ivanovic and Marco Pavone. Page: zhejz.github.io/catk/ 🧵...

Our <a href="/CVPR/">#CVPR2025</a>  paper on training traffic models in closed loop is an Oral at CVPR!! The work was done by Zhejun Zhang (zhejz.github.io) in collaboration with <a href="/KarkusPeter/">Peter Karkus</a>, me, <a href="/wenhaoding95/">Wenhao Ding</a>, <a href="/Yuxiao_Chen_/">Yuxiao Chen</a>, <a href="/iamborisi/">Boris Ivanovic</a> and <a href="/drmapavone/">Marco Pavone</a>.
Page: zhejz.github.io/catk/ 
🧵...
Mikaela Angelina Uy (@mikacuy) 's Twitter Profile Photo

Check out our recent work NVIDIA AI on a feedforward, open-world 3D part segmentation enabling various other downstream applications! 🚀 w/ Minghua Liu Donglai Xiang Hao Su Sanja Fidler Nick Sharp Jun Gao 🔗 Webpage: research.nvidia.com/labs/toronto-a…

Zan Gojcic (@zgojcic) 's Twitter Profile Photo

📢Our team at NVIDIA AI is again looking for Research Scientists and Engineerings to help us push the boundaries of Neural Reconstruction and Generation in AV and Robotics simulation! Check out our latest work at zgojcic.github.io, and if interested, reach out directly!

Andrei Bursuc (@abursuc) 's Twitter Profile Photo

When at #CVPR2025 a major challenge is how to split yourself among super amazing workshops. I'm afraid to announce you that with our workshop on "Embodied Intelligence for Autonomous Systems on the Horizon" we will make this choice even harder: opendrivelab.com/cvpr2025/works… #cvpr2025

When at <a href="/CVPR/">#CVPR2025</a> a major challenge is how to split yourself among super amazing workshops. 
I'm  afraid to announce you that with our workshop on "Embodied Intelligence  for Autonomous Systems on the Horizon" we will make this choice even harder: opendrivelab.com/cvpr2025/works… #cvpr2025
Huan Ling (@huanling6) 's Twitter Profile Photo

We are excited to share Cosmos-Drive-Dreams 🚀 A bold new synthetic data generation (SDG) pipeline powered by world foundation models—designed to synthesize rich, challenging driving scenarios at scale. Models, Code, Dataset, Tookit are released. Website:

Zan Gojcic (@zgojcic) 's Twitter Profile Photo

🚀 Just in time for the #CVPR rush: we’ve released the code for Difix3D+ — a Best Paper Award candidate! 🔧 Try out the code & demos: github.com/nv-tlabs/Difix… 🎤 Oral (June 15): 1:00–1:15 PM CDT, Karl Dean Grand Ballroom 🖼️ Poster: 4:00–6:00 PM CDT, ExHall D (#57) Join us! #CVPR2025

Eugene Vinitsky 🍒🦋 (@eugenevinitsky) 's Twitter Profile Photo

We now know RL agents can zero-shot crush driving benchmarks. Can we put them on a car and replace the planning stack? We're hiring a postdoc at NYU to find out! Email me if interested and please help us get the word out.

Waymo (@waymo) 's Twitter Profile Photo

We’re setting the course for what’s next. 🚙 Waymo has earned a place on TIME100 Most Influential Companies for 2025. TIME’s new cover features our co-CEOs Dmitri Dolgov and @techtekedra who lead our team as we pursue our mission to be the world’s most trusted driver. Read

We’re setting the course for what’s next. 🚙 Waymo has earned a place on TIME100 Most Influential Companies for 2025.

<a href="/TIME/">TIME</a>’s new cover features our co-CEOs <a href="/dmitri_dolgov/">Dmitri Dolgov</a> and @techtekedra who lead our team as we pursue our mission to be the world’s most trusted driver.

Read
Zan Gojcic (@zgojcic) 's Twitter Profile Photo

Had a great time chatting with Sophia and the BuzzRobot community about our recent work, DiffusionRenderer, and the exciting research my team is doing at NVIDIA AI! DiffusionRenderer project page: research.nvidia.com/labs/toronto-a…

Alexander Wei (@alexwei_) 's Twitter Profile Photo

1/N I’m excited to share that our latest OpenAI experimental reasoning LLM has achieved a longstanding grand challenge in AI: gold medal-level performance on the world’s most prestigious math competition—the International Math Olympiad (IMO).

1/N I’m excited to share that our latest <a href="/OpenAI/">OpenAI</a> experimental reasoning LLM has achieved a longstanding grand challenge in AI: gold medal-level performance on the world’s most prestigious math competition—the International Math Olympiad (IMO).