Workshop on Visualization for AI Explainability @ieeevis #visxai #ieeevis

Joined July 2019
You’re working on so many great explainables 🤯! However, we’ve heard how stressed you are and want to give you one more week, so 𝘄𝗲'𝘃𝗲 𝗷𝘂𝘀𝘁 𝗲𝘅𝘁𝗲𝗻𝗱𝗲𝗱 𝘁𝗵𝗲 𝗱𝗲𝗮𝗱𝗹𝗶𝗻𝗲 𝘁𝗼 𝗔𝘂𝗴𝘂𝘀𝘁 10! Time to build 🚀
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📆📆📆 Only one month to go! We can’t wait to see what you’ve been building this year 😍 Submit your explainable until the 3rd of August!
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Join us this Sunday for #VISxAI @ieeevis! We have a packed, full-day program with great lightning talks, time to share ideas, and insights from the VISxAI OGs (including a keynote by @wattenberg!) 🗓️ Sunday, Nov 2 📍 Vienna ➡️ visxai.io
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📣 ONE MORE WEEK!! The VISxAI deadline has been extended to August 6th
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The PCS is open for #VISxAI 2025 at #ieeevis! We're excited to see your submissions! ➡️ Deadline to submit is July 30th.
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🤖 Announcing the VISxAI Workshop! This full-day event will feature interactive explainable submissions, exceptional keynote talks, lively breakout discussions, and novel interactive demos. Submit a paper and/or interactive explanation! Deadline: July 30 visxai.io/
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Makes for an excellent new years watch 🎆 and includes timestamps for all the talks!
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Congratulations to our best submission award winners!! 🏆 “Can Large Language Models Explain Their Internal Mechanisms?” by @nadamused_, @ghandeharioun, @RyanMullins, @emilyrreif, Jimbo Wilson, @Nithum, and @iislucas 🏆 “The Illustrated AlphaFold” @ElanaPearl and @JakeSilberg
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Finishing strong with @adamrpearce’s Closing Keynote covering Why Aren't We Using Visualizations to Interact with AI? 📉
Don’t miss @adamrpearce’s #VISxAI Closing Keynote discussing Why Aren't We Using Visualizations to Interact with AI? 📊🤖
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Our final lightning talk of the day is “Inside an interpretable-by-design machine learning model: enabling RNA splicing rational design” 🧪 by Mateus Silva Aragao, Shiwen Zhu, Nhi Nguyen, Alejandro Garcia, and Susan Elizabeth Liao visualizing-interpretable-mo…
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Now @narphorium will present ⌨️ “ExplainPrompt: Decoding the language of AI prompt” explainprompt.com/
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Our next lightning talk is 🧑‍🏫 “What Can a Node Learn from Its Neighbors in Graph Neural Networks?” by @AstropowerDev, Chongwei Chen, Matthew Xu, and @WangQianwenToo. visual-intelligence-umn.gith…
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Next, we have “A Visual Tour to Empirical Neural Network Robustness” by @ChenChe91591871, @JinbinHuang, Ethan M Remsberg, and @zcliu. 💪 cchen-vis.github.io/Narrativ…
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First up, watch @ElanaPearl and @JakeSilberg present “The Illustrated AlphaFold” 🧬elanapearl.github.io/blog/20…
The Illustrated AlphaFold bit.ly/the-illustrated-af3 Do you want to know how AlphaFold3 works? It has one of the most intimidating transformer-based architectures, so to make it approachable, we made a visual walkthrough inspired by @JayAlammar's Illustrated Transformer! 🧵 (1/7)
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