Daniel Winter @_daniel_winter_
Intern at @GoogleAI Joined October 2023-
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Excited to share this has now been accepted at #NeurIPS2025 as a position paper (<6% acceptance)!🎉 We advocate for systematically studying entire model populations via weight-space learning, and argue that this requires charting them in a Model Atlas. @NeurIPSConf #NeurIPS 🧵👇
Excited to share this has now been accepted at #NeurIPS2025 as a position paper (<6% acceptance)!🎉 We advocate for systematically studying entire model populations via weight-space learning, and argue that this requires charting them in a Model Atlas. @NeurIPSConf #NeurIPS 🧵👇 https://t.co/EdVQo8hssP
We are releasing a paper I'm very excited about. We know test-time scaling is a path to greatly improved results, and achieves reasoning in the case of LLMs. We present a new and promising way to amortize it into training using HyperNetworks for image generation models.
@karpathy Thanks for the inspiring talk (as always!). I'm the author of the Model Atlas. I'm delighted you liked our work, seeing the figure in your slides felt like an "achievement unlocked"🙌Would really appreciate a link to our work in your slides/tweet arxiv.org/abs/2503.10633
@karpathy Thanks for the inspiring talk (as always!). I'm the author of the Model Atlas. I'm delighted you liked our work, seeing the figure in your slides felt like an "achievement unlocked"🙌Would really appreciate a link to our work in your slides/tweet arxiv.org/abs/2503.10633 https://t.co/afUxiVCNUz
When we "erase" a concept from a diffusion model, is that knowledge truly gone? 🤔 We investigated, and the answer is often 'no'! Using simple probing techniques, the knowledge traces of the erased concept can be easily resurfaced 🔍 Here is what we learned 🧵👇
A quick look on what we were working on in the past months 🎉 more exciting things to come 🙌🏻
A quick look on what we were working on in the past months 🎉 more exciting things to come 🙌🏻
Google presents LightLab Controlling Light Sources in Images with Diffusion Models
In our #ICLR2025 paper, we introduce WIND 🌬️ A method that embeds a distortion watermark directly in the diffusion noise! Our method ensures that the watermark in one image does not reveal information about the watermark in other images 🤫 📝 arxiv.org/abs/2412.04653 (1/5)
🚨 New paper alert! 🚨 Millions of neural networks now populate public repositories like Hugging Face 🤗, but most lack documentation. So, we decided to build an Atlas 🗺️ Project: horwitz.ai/model-atlas Demo: huggingface.co/spaces/Eliahu/… 🧵👇🏻 Here's what we found:
🚨 New paper alert! 🚨 Millions of neural networks now populate public repositories like Hugging Face 🤗, but most lack documentation. So, we decided to build an Atlas 🗺️ Project: horwitz.ai/model-atlas Demo: huggingface.co/spaces/Eliahu/… 🧵👇🏻 Here's what we found: https://t.co/9S8ATMzJui
Crazy work by colleagues in my team!
Crazy work by colleagues in my team!
🚨 Excited to share ObjectMate our latest from @GoogleAI for zero-shot subject-driven generation & insertion 🚨 🔗 project page: object-mate.com 📄Arxiv: arxiv.org/abs/2412.08645
🚨 Excited to share ObjectMate our latest from @GoogleAI for zero-shot subject-driven generation & insertion 🚨 🔗 project page: object-mate.com 📄Arxiv: arxiv.org/abs/2412.08645
I'm sharing something unique we've been making at Google (w/ UNC). We are releasing our work on a new class of interactive experiences that we call generative infinite games, essentially video games where the game mechanics and graphics are fully subsumed by generative models 🧵
With friends at @Google we announce 💜 Magic Insert 💜 - a generative AI method that allows you to drag-and-drop a subject into an image with a vastly different style achieving a style-harmonized and realistic insertion of the subject (Thread 🧵) web: magicinsert.github.io
Kyle @kyletainan
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Nataniel Ruiz @natanielruizg
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2K Followers 166 Following The most powerful open-source visual AI and computer vision data platform. Maximize AI performance with better data: https://t.co/T3S1us7FBF
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Ron Shapiro @rdshapiro
1K Followers 895 Following smarter and safer medicine @Verily, prev: smarter and safer Java @Google, smarter and safer payments @Venmo
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3K Followers 440 Following Assistant Professor @JHUCompSci, @HopkinsDSAI Past: RAP @TTIC_Connect | PhD @SiebelSchool Research: Exploring Knowledge in Generative Models
#CVPR2026 @CVPR
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Yossi Gandelsman @YGandelsman
1K Followers 555 Following Incoming assistant prof at @TTIC_connect, currently research scientist @reveimage, previously @UCBerkeley @TransluceAI @GoogleDeepMind, intern @Adobe
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Yuval Alaluf @yuvalalaluf
1K Followers 241 Following Research @runwayml | PhD @ Tel Aviv University | Working on Generative Models
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46 Followers 75 Following
Dreaming Tulpa 🥓�... @dreamingtulpa
55K Followers 2K Following Coder and AI whisperer | 🇨🇭 | @needlefm https://t.co/JjX7INV1K5 (4'700+ readers) https://t.co/6AOraP48HO (my prompt library) https://t.co/eNHXjXPcVW (coming soon)
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John Nack @jnack
16K Followers 4K Following AI PM; previously Adobe (longtime PM of Photoshop) + Google Photos/Research/AR + Microsoft AI; Dad to the @Micronaxx. Blog at https://t.co/AQ0oezjGCY
Omri Avrahami @OmriAvr
1K Followers 345 Following CS PhD student at @HebrewU. Researcher at @runwayml (Previously: @pika_labs, @Snap, @NVIDIA, @GoogleAI, @MetaAI, @Lightricks). Interested in #GenerativeAI.
Nataniel Ruiz @natanielruizg
10K Followers 2K Following research @GoogleDeepMind | Veo team | author of DreamBooth | personalization of generative models
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430K Followers 3K Following AI research paper tweets, ML @Gradio (acq. by @HuggingFace 🤗) dm for promo ,submit papers here: https://t.co/UzmYN5YmrQ
Eliahu Horwitz @EliahuHorwitz
609 Followers 294 Following PhD student at @CseHuji | Passionate about model weights as a new data modality, and yoga - not necessarily in that order 😉 | Ex Intern Google Research.Trends for United States
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