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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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🤖 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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I just rewatched @adamrpearce's talk @VISxAI and it's a real gem of reflections on the field. Highly recommend!
youtube.com/watch?v=UUkftG2K…
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Just in case you missed #VISxAI2024
The whole Session is now on YouTube!
youtube.com/watch?v=UUkftG2K…
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Thank you for joining us at #VISxAI2024! Explore all of the amazing explainables presented today on our website visxai.io/ 🎉🎉🎉
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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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Come watch “Panda or Gibbon? A Beginner's Introduction to Adversarial Attacks” by Yuzhe You and @jeffjianzhao 🐼🐵 visxai-aml.vercel.app/
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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…
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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!
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ALT Example diagram from The Illustrated AlphaFold visualizing the matrix operations involved in Attention with Pair Bias
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