Thomas Kipf @tkipf
AI Research at @GoogleDeepMind. Ex-Physicist. Graph Neural Networks & Controllable Generative Models (e.g. GCNs, Structured World Models, Slot Attention). scholar.google.com/citations?user… SF Bay Area Joined June 2009-
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Some updates: * I’ll be at ICLR next week, looking forward to catching up w/ folks! * We’ll present work on neural scene representations, controllable generation & 3D simulation. More on that soon! * L+1 github.com/tkipf/tkipf.gi… 🎉
Everyone can see what is the next big thing in AI: ChatGPT+Robot AI. But what is really coming next? Causal Robots. I.e., sophisticated robots equipped with world models, causal understanding, and high-level reasoning. Join our workshop to find out more!
Everyone can see what is the next big thing in AI: ChatGPT+Robot AI. But what is really coming next? Causal Robots. I.e., sophisticated robots equipped with world models, causal understanding, and high-level reasoning. Join our workshop to find out more!
🚀 Great news! The @LogConference 2023 proceedings are now available on PMLR: proceedings.mlr.press/v231/ — thanks to the entire community! We also have some exciting updates about the next edition of LoG, coming soon... ⌛️
@maxhkw Today's posterior is tomorrow's prior
Excited to share Penzai, a JAX research toolkit from @GoogleDeepMind for building, editing, and visualizing neural networks! Penzai makes it easy to see model internals and lets you inject custom logic anywhere. Check it out on GitHub: github.com/google-deepmin…
📢 We are excited to introduce Thomas Kipf (@tkipf), Animesh Garg (@animesh_garg), and Sungjin Ahn (@SungjinAhn_) as the first three speakers of the Causal and Object-Centric Representations for Robotics (CORR) CVPR workshop. corrworkshop.github.io 🧵 1/5
After two good years at Microsoft Research AI4Science, I am very excited to announce that as of this month I have, together with Chad Edwards, co-founded a new startup in the field of molecular and materials discovery.
If a solution is fundamentally easier to be verified than to be generated, it probably means that there is a learning signal. Lots of problems fall in this category.
If a solution is fundamentally easier to be verified than to be generated, it probably means that there is a learning signal. Lots of problems fall in this category.
Introducing SIMA: the first generalist AI agent to follow natural-language instructions in a broad range of 3D virtual environments and video games. 🕹️ It can complete tasks similar to a human, and outperforms an agent trained in just one setting. 🧵 dpmd.ai/3TiYV7d
It’s as magical of an experience as everyone says it is. Truly amazing product.
It’s as magical of an experience as everyone says it is. Truly amazing product.
Great work on scalable action-conditioned video models by our colleagues at @GoogleDeepMind. Exciting to see how far latent action learning can be pushed 🎮
Great work on scalable action-conditioned video models by our colleagues at @GoogleDeepMind. Exciting to see how far latent action learning can be pushed 🎮
This should give us some appreciation for how inaccurate of an approximation a “neuron” is in Deep Learning.
This should give us some appreciation for how inaccurate of an approximation a “neuron” is in Deep Learning.
Gemma: best-in-class open source LLMs by @GoogleDeepMind
Gemma: best-in-class open source LLMs by @GoogleDeepMind
Exciting new MLX package - mlx-graphs Efficiently train Graph Neural Nets on your laptop! Install: pip install mlx-graphs Code: github.com/mlx-graphs/mlx… Docs: mlx-graphs.github.io/mlx-graphs/
Exciting new MLX package - mlx-graphs Efficiently train Graph Neural Nets on your laptop! Install: pip install mlx-graphs Code: github.com/mlx-graphs/mlx… Docs: mlx-graphs.github.io/mlx-graphs/ https://t.co/FwblscIcXs
Kalamang Translation One of the most exciting examples in the report involves translation of Kalamang. Kalamang is a language spoken by fewer than 200 speakers in western New Guinea in the east of Indonesian Papua (endangeredlanguages.com/lang/1891). Kalamang has almost no online…
Gemini Advanced is out. Proud of the team’s accomplishment! We also updated our technical report to cover the new post-trained Gemini models, and Gemini Advanced is a significant leap from Gemini with Pro. Try Gemini Advanced, the results may surprise you.
Gemini Advanced is out. Proud of the team’s accomplishment! We also updated our technical report to cover the new post-trained Gemini models, and Gemini Advanced is a significant leap from Gemini with Pro. Try Gemini Advanced, the results may surprise you.
Led by @GoogleDeepMind, we present ALOHA 2 🤙: An Enhanced Low-Cost Hardware for Bimanual Teleoperation. ALOHA 2 🤙 significantly improves the durability of the original ALOHA 🏖️, enabling fleet-scale data collection on more complex tasks. As usual, everything is open-sourced!
Alfredo Canziani @alfcnz
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33K Followers 969 Following Cofounded & running @ml_collective. Host of Deep Learning Classics & Trends. Research at Google DeepMind. DEI/DIA Chair of ICLR & NeurIPS. Writing https://t.co/IbycyGfnDRKyunghyun Cho @kchonyc
61K Followers 2K Following a combination of a mediocre scientist, a mediocre manager, a mediocre advisor & a mediocre PC at @nyuniversity (@CILVRatNYU) & @genentech (@PrescientDesign).yobibyte @y0b1byte
15K Followers 2K Following Kurin ViTaly, senior research scientist @IsomorphicLabs, ML PhD from @UniofOxford on RL, Multitask learning & GraphsLearning on Graphs Co.. @LogConference
7K Followers 751 Following LoG is a new annual research conference that covers areas broadly related to machine learning on graphs and geometry, with a special focus on review quality.Horace He @cHHillee
24K Followers 449 Following Working at the intersection of ML and Systems @ PyTorch "My learning style is Horace twitter threads" - @typedfemaleMax Welling @wellingmax
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3K Followers 918 Following Tesseract | 🚀ing up the future of science @Lux_Capital, prev neuroscience @oxford + bio @uclJoseph Watson @_JosephWatson
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188 Followers 0 Following Generative and Experimental Perspectives for Biomolecular Design workshop at ICLR 2024Romain Lacombe @rlacombe
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7K Followers 197 Following Principal Scientist (Director) @GoogleDeepMind in Japan. 波瀬小⇒一志中⇒鈴鹿高専⇒名工大 (IBM TJ Watson intern for a year)⇒東芝欧州研⇒Google (Speech🇬🇧⇒Brain🇯🇵) ⇒Google DeepMindI am in Vienna this week, presenting our #ICLR2024 spotlight: the Dynamic Scene Transformer, a video model that learns a structured representation of camera, motion and content. Come by Fri 10:45, poster 100. Or reach out if you want to chat!
Excited to share my Google DeepMind internship project: the Dynamic Scene Transformer (DyST), a model learning latent representations from real videos that enable view generation with separate control over the camera and the content of the scene. dyst-paper.github.io 1/6
I cannot wait for this to be rolled out!!
In the coming weeks, we will begin testing fully autonomous rides — without a human driver— for our employees on San Francisco Peninsula city streets north of San Mateo.
In the coming weeks, we will begin testing fully autonomous rides — without a human driver— for our employees on San Francisco Peninsula city streets north of San Mateo.
Super proud of our work at #ICLR2024! 🎉 If you're interested in large generalizable models for chemistry, come check out our posters and chat with the team. "From Molecules to Materials: Pre-training Large Generalizable Models for Atomic Property Prediction" - We show that…
SD3 is now accepted at #ICML2024. See you in Vienna!
Party time! The SD3 paper made it to arxiv: arxiv.org/abs/2403.03206 Key takeaways: - flow matching is very nice. - back to work with @pess_r and a fantastic team ♥️ The paper is full of details on improved flow matching, scaling and engineering. Enjoy!
Accepted to ICML 😍 See you all in Vienna 🕺
New 📜: *Debating with More Persuasive LLMs Leads to More Truthful Answers*. Large-scale work led by @akbirkhan @McHughes288 & @danvalentine256: we find #debate between more knowledgeable models helps less knowledgeable models answer q's w/o ground-truth arxiv.org/abs/2402.06782
If you don't recognize me on the picture from the original tweet, I fixed it now. Come speak with me at #ICLR2024.
Looking forward to seeing you at #ICLR2024 in Vienna next week. Talk to us about our open roles, and AI powered drug discovery @IsomorphicLabs Register your interest here bit.ly/4a2cnCA #ai #machinelearning #drugdiscovery
Vibe-Eval is a pretty entertaining read, would recommend. Has some nice insights and creative test examples. How creative one needs to be to challenge frontier VLMs shows how good these have become (at VQA at least...) Nice one @PiotrPadlewski and folks at Reka…
You heard it right: I obsessively took over 15k pictures over a multiyear period, worked with an amazing team to get them cleaned up, vetted, and captioned, and donated them for research. Hoping others will donate images in similar manner in future!
Image captions often lack the detail required to assess VL models. DOCCI descriptions are highly compositional, clearly delineating similarities and contrasts across images taken by @jasonbaldridge! Check our data visualizer: google.github.io/docci/viz.html…
Quickly start your chat with Gemini using the new shortcut in the Chrome desktop address bar👇 Step 1: Type “@” in the desktop address bar and select Chat with Gemini Step 2: Write your prompt Step 3: Get your response on gemini.google.com Seriously. It’s that easy ✨
An edgy post... 1 trillion edges, in fact!
Graph clustering merges similar items into groups to better understand relationships in data. Today, read about our recent works, including key techniques that enabled us to scale a high-quality algorithm that can cluster trillion-edge graphs. Read more → goo.gle/3y1iXMs
What are, according to you, the most interesting or most under-appreciated applications of VAEs? Please share below. Links appreciated. (I'm building a list for future reference.)
Delighted to share ✨Med-Gemini✨ - our new family of multimodal models for medicine unlocking new possibilities for health - arxiv.org/pdf/2404.18416 More accurate multimodal conversations about medical images🩻, surgical videos📽️, genomics🧬, ultra-long health records📚, ECGs🫀…
How can we learn a foundational world model directly from Internet-scale videos without any action annotations? @YugeTen, @ashrewards and @jparkerholder from @GoogleDeepMind's Open-Endedness Team are presenting "Genie: Generative Interactive Environments" at the @UCL_DARK Seminar…
Results from our first ✨Med-Gemini✨models, variants of the base Gemini multimodal models that have been tuned for the medical domain. The multimodal and long context capabilities of the Gemini models really shine in some of the capabilities. Joint work with @vivnat…
Delighted to share ✨Med-Gemini✨ - our new family of multimodal models for medicine unlocking new possibilities for health - arxiv.org/pdf/2404.18416 More accurate multimodal conversations about medical images🩻, surgical videos📽️, genomics🧬, ultra-long health records📚, ECGs🫀…