Professor of Electrical and Computer Engineering at Tel Aviv University. On Sabbatical at Apple AI Research. Interested in AI, multimodal and signal processing

Joined September 2020
I’m excited to be spending my sabbatical at #Apple, collaborating with Vladlen Koltun and the team on a range of cutting-edge AI projects. Looking forward to this new chapter!
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(1/9) 🐍 Mamba Recall Scaling Laws: accepted to #NeurIPS2026! 🎉 How many facts can Mamba actually store and recall? By reverse-engineering Mamba models, we reveal an interpretable hash-based recall mechanism, and theoretically derive precise scaling laws - predicting recall accuracy directly from model dimensions. Here's the story. 🧵👇 📄 Paper: arxiv.org/abs/2609.07681 💻 Code: github.com/yuvalko1/mamba-re…
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(1/7)📢 New paper! Speech AI is getting better at hearing and speaking many languages. But what if the input mixes two languages, or is in one the model never learned? It guesses one language it knows and imposes that language's sounds on everything. We find why, and fix it 🧵
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SepGen extends a pretrained audio-video model to also output one waveform per source (alongside the video and mix) in a single pass. Sources stay individually accessible, so they can be localized and rendered as spatial audio in 4D. Dual generation + separation modes; strongest on speech. Check out sepgen.github.io/
1/ Rendering a 4D audio-visual scene from a novel viewpoint requires every source as an individual waveform. Joint audio-video generators emit a single audio-mix in which the sources are not accessible. We present SepGen - multi-stem audio-video separation and generation in a single model 🧵
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1/ Rendering a 4D audio-visual scene from a novel viewpoint requires every source as an individual waveform. Joint audio-video generators emit a single audio-mix in which the sources are not accessible. We present SepGen - multi-stem audio-video separation and generation in a single model 🧵
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I’ve spent the last decade working to make AI as powerful for 3D as it is for text and images - from industry, through my PhD, to leading my own research lab as a professor. I started Thrixel to put that research directly into people's hands: a 3D creation platform for the agentic era that lets anyone build complete, interactive 3D worlds using AI. It’s especially exciting to build Thrixel alongside people I’ve researched with for years. Together, we’re bringing fundamental research breakthroughs straight into our core engine. Here’s a peek behind the scenes at Thrixel ↓
Thrixel is building the 3D creation engine that powers the agentic world. Born out of years of core 3D AI research, Thrixel aims to lower the barrier to entry to building in 3D and democratize the 3D creation process. Thrixel creates assets with named, editable parts, that human creators and AI agents can directly control across games, simulations, and a wide range of other applications. See what we’re building: thrixel.com
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In this era of artificial intelligence, it is becoming urgent to distinguish human art from what machines produce. There is an ontological difference, even before an aesthetic one, between art and what a machine can generate through statistical calculation based on millions of images created by others. Algorithms lack the spark of humanity. For this reason, the Church wishes to renew an alliance with artists and cultural institutions to safeguard our humanity.
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(1/7) Humans can acquire many capabilities without (catastrophically) forgetting previous ones. Why can't neural networks do the same? Local Support Learning (LSL) takes us a step closer towards this goal. In LLMs of up to 7B parameters, LSL augments gradient-based training to retain prior capabilities while learning new tasks at full capacity. Notably, it does so without access to prior data. Key idea: casting forgetting as a geometric problem, and optimizing for the worst case. Paper: arxiv.org/abs/2610.02126 Website and code: assafbk.github.io/lsl
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Amazing few days at #ECCV2026 presenting ID-LoRA! Next stop: Finland! Presenting "Consistent Zero-Shot Video Editing with Multimodal Feature Flow" at #ICIP2026, oral spotlight Wed Sep 16, Duetto 2, Tampere Hall w/ @eyal_gomel @liorwolf @RGiryes Shanah Tovah! 🍯
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ID-LoRA is at #ECCV2026 - poster #17, ExHall, Thursday 4:30-6:30 PM. One model that generates a person's face and voice together, from a prompt, a reference image, and a short audio clip. Come by! w/ @moranynk @NKraicer @liorwolf @RGiryes id-lora.github.io
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I'll present CLIMP - The first fully mamba based CLIP on #ECCV2026 Friday, Sep 11, 10:30 AM – 12:30 PM, poster session 3, ExHall - poster # 65. Come and check out how switching CLIP towers to mamba can do magic! @RGiryes @Eli_Schwartz @ItamarZimerman
Happy to share CLIMP was accepted to ECCV 2026! @eccvconf #ECCV2026 Check out our work if you want to see how Mamba models meet CLIP! @ItamarZimerman @Eli_Schwartz @RGiryes xitter.cf/NimrodShabtay/status/2…
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You ask for a talking parrot, but the model makes the pirate talk AND gives him a beak! 🦜😮‍💨 -> Introducing The Attention Triangle in Audio-Video Models: how semantics leak between text, audio, and video, and how we steer them back. 🧵 [1/5]
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This entire game was built using Claude + Thrixel, an agentic 3D creation platform. Thrixel: Generated high-quality, thematically consistent, editable 3D assets. Claude: Assembled in Unity + wrote game logic. 1 /goal prompt + Thrixel Skills + <5 follow-ups Repo coming👇
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נכון שהילדים שלכם תמיד רצו לדעת מה מדענים עושים במעבדות שלהם חוץ מלהצטלם עם משקפי מעבדה וחלוק? אז האקדמיה הצעירה עשתה משהו סוף! היא אספה כמה חוקרים שיספרו על המחקרים שלהם לילדים, יש שם את עודד רכבי המלך ואת איגור אוליצקי המעולה, וארז בן יוסף ונעמה, וכולם חוקרים מעולים! ומעניינים>
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Is it the one extra day of rest that helped Spain win? Since 2010, 14 of the last 15 men’s and women’s World Cup and European Championship finals have been won by the team that played its semi-final a day earlier. Interestingly, the only previous exception was… Spain in 2010.
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Raja Giryes retweeted
ConlangCrafter is in the news! Check out the recent coverage of our work in Science and IEEE Spectrum (in thread) -- great to see people are interested in how AI can help us create constructed languages!
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Happy to share our recent TMLR publication: "Jacobian-Aware Posterior Sampling for Inverse Problems" 🥳 JAPS is based on a clever discovery and achieves SOTA results! arXiv: arxiv.org/abs/2511.18471 OpenReview: openreview.net/forum?id=m63G… code: github.com/liavhen/JAPS
Our paper JAPS was accepted to TMLR! We show that training-induced non-idealities in the denoiser's Jacobian degrade zero-shot image recon. and propose a sampling scheme to mitigate these artifacts at free cost. @RGiryes @TirerTom @ShadyAbh
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Arrived yesterday in Seoul, where my group will be presenting two works at #ICML2026 🧑‍🏫 I would be happy to chat about the research directions that my students and I pursue (diffusion/flow models, uncertainty quantification & CP, learning theory vs practice, optimization, etc.)
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Feel there are too many made-up rules by @FIFAcom in #FIFAWorldCup2026? ⚽ Come hear us talk about made-up languages created with LLMs! You’ll even learn new ways to express your frustration over the injustice toward Croatia. 😀
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