@YVinker

Incoming Assistant Professor at @WeizmannScience · Postdoc at @MIT_CSAIL

 Boston
yael-vinker.github.io/website/
Joined July 2021
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What a wrap to an amazing SIGGRAPH!🎉 Co-organizing Lines & Minds with this team was a dream come true! Thanks to our wonderful speakers and organizers, and a huge thanks to everyone who came out to learn about visual abstraction, even with the World Cup on😄
🤖 Made with AI
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Golan Levin@golanOct 14
Spectacular new plotter just dropped from @bantamtools — a paperslinger inspired by the legendary HP7475A: bantamtools.com/products/han…!
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Aymeric Rabot
@aymericrabotOct 13
Made a little site to learn about architecture, visually architecture.pascal.app/
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Cool! This direction is very similar to the ideas we recently presented in Inspiration Seeds!🎨 kfirgoldberg.github.io/Inspi… Best of luck to Omer and the team!👏 I’m sure it will be awesome ✨

Inspiration Seeds: Learning Non-Literal Visual Combinations for Generative Exploration

Inspiration Seeds: Learning Non-Literal Visual Combinations for Generative Exploration

kfirgoldberg.github.io
Omer Bar Tal
@omerbartalOct 14
Introducing Generative Commerce. @daletlabs
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"Evolution is anything but random." This is INSANE... @akarshkumar0101 (@MIT_CSAIL, @SakanaAILabs) on artificial life: searching the space of possible universes with foundation models, why evolved networks find structure SGD misses (with @kenneth0stanley), and LLMs evolving Core War programs.
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Assaf Shocher@AssafShocherOct 5
My favorite artist has always been M.C. Escher. His "Print Gallery" has been hanging in my home for years. Recently I bumped into a 3B1B video about it that was really awesome and I thought it would be cool to generate such art. A bit out of my comfort zone, but luckily @Sophie0tq took the lead (🧵).
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Assaf Ben Kish
@abk_tauOct 2
(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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reading feynman lecturess as feynman intended: with accompanying ai-made demo sections for each chapter rapid acquisition of knowledge is possible thanks to superintelligence
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Kosta Derpanis
@CSProfKGDSep 22
Visualization of the day: 2D Discrete Fourier Transform
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The full workshop recording is now available here 👉 youtube.com/watch?v=CaVtmtrG… A big thank you again to all the wonderful speakers, participants, and organizers who made the workshop possible! 🎨 lines-and-minds.github.io

SIGGRAPH 2026 Workshop: Lines and Minds

Recording of the SIGGRAPH 2026 Workshop: Lines and Minds: Visual Ab...

youtube.com
Yael Vinker@YVinkerApr 9
I am *very* excited to announce our SIGGRAPH 2026 workshop: Lines & Minds: Visual Abstraction in Art, Psychology, and Computer Graphics 🎨🧠🫖 🔗 lines-and-minds.github.io 📅 Sunday, July 19 Join us to explore how visual abstraction shapes how we think, create, and communicate.
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TTIC@TTIC_ConnectSep 17
1/5 "Sometimes words are not enough," said Yael Vinker (@YVinker) of @MIT_CSAIL at TTIC's Young Researcher Seminar Series in Nov '25. "I want to teach machines to speak the language of sketches." This involves using visual means to communicate concepts under a set of constraints.
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Science girl
@sciencegirlSep 15
Zoetrope art This is crazy good
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Runway Labs
@runwayml_labsSep 14
Real-time video models are unlocking new capabilities. A first experiment: a drawing app that animates your sketches as you draw. Under the hood, a video model generates each frame live, turning every idea into motion instantly.
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Kevin Ngo
@kevin_t_ngoSep 14
Every frame drawn with JavaScript by Claude Opus 5.
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satoru.net
@satorunetSep 13
「ひらがなを読み書き学習したハエ」作ってみた。読めたらドーパミンを与えて10万文字のひらがなを8時間学習した結果のハエ。約85%確率で正解出してる hae.satoru.net/ #flywire #ハエ
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Oh my gosh, this is so much fun!
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Sigal Raab@sigal_raabSep 3
Can AI learn origami by watching us fold? 🤖📄 In FoldingAgent, we translate visual demonstrations 🎥 into executable, physically plausible folding procedures, combining vision, geometric reasoning, and agentic planning. 🦢🐦‍🔥
Maya Moriya@mayamoriyaSep 2
Very excited to share my first paper! 🎉 FoldingAgent has been accepted to SIGGRAPH Asia 2026 ✨ 🔹 Reconstructs parametric origami from demonstration videos 🔹 Uses a VLM agent + origami simulator Project: maya-moriya.github.io/origam… Joint work with @sigal_raab @YVinker @talidekel
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Tali Dekel@talidekelSep 3
FoldingAgent accepted to SIGGRAPH Asia 2026 ✨ It allows reconstructing parametric, simulator-verified origami straight from demonstration videos! Fun fact: all-female, 4-author paper! 👩‍💻📄✨ w/ @mayamoriya @sigal_raab @YVinker
Maya Moriya@mayamoriyaSep 2
Very excited to share my first paper! 🎉 FoldingAgent has been accepted to SIGGRAPH Asia 2026 ✨ 🔹 Reconstructs parametric origami from demonstration videos 🔹 Uses a VLM agent + origami simulator Project: maya-moriya.github.io/origam… Joint work with @sigal_raab @YVinker @talidekel
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Maya Moriya@mayamoriyaSep 2
Very excited to share my first paper! 🎉 FoldingAgent has been accepted to SIGGRAPH Asia 2026 ✨ 🔹 Reconstructs parametric origami from demonstration videos 🔹 Uses a VLM agent + origami simulator Project: maya-moriya.github.io/origam… Joint work with @sigal_raab @YVinker @talidekel
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Just over a week until our workshop at @eccvconf! We have a great lineup of speakers, including @paschalidoud_1, @y_m_asano, @MattNiessner, @jmin__cho, @andrew_ilyas, @SergeBelongie, and @YunzhuLiYZ! Come say hi! Full schedule available soon at curateddata.github.io/

Curated Data for Efficient Learning: ECCV 2026

ECCV 2026 Workshop on data curation for efficient machine learning.

curateddata.github.io
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Guy Tevet@GuyTvtAug 13
1/ I let @claudeai use the animoflow.ai API, and the result is an effectively infinite G1 locomotion dataset, rendered in a CAD apartment environment. Here's how:
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