VISxAI
@VISxAI
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Workshop on Visualization for AI Explainability @ieeevis #visxai #ieeevis
Joined July 2019
RT @a13xba: I just rewatched @adamrpearce's talk @VISxAI and it's a real gem of reflections on the field. Highly recommend!
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Makes for an excellent new years watch 🎆 and includes timestamps for all the talks!
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Thank you for joining us at #VISxAI2024! Explore all of the amazing explainables presented today on our website 🎉🎉🎉
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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
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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.
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Come watch “Panda or Gibbon? A Beginner's Introduction to Adversarial Attacks” by Yuzhe You and @jeffjianzhao 🐼🐵
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Next, we have “A Visual Tour to Empirical Neural Network Robustness” by @ChenChe91591871, @JinbinHuang, Ethan M Remsberg, and @zcliu. 💪
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First up, watch @ElanaPearl and @JakeSilberg present “The Illustrated AlphaFold” 🧬
The Illustrated AlphaFold 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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Our afternoon lightning talks are STARTING NOW! Don’t miss explainables on topics across computational biology 🧪 , AI robustness 💪, graph neural networks 🤖, and LLM prompting 💻.
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Time for a break. ☕️ Keep the conversation going in the Discord channel! We will see you back at 10:45.
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Our final lightning talk of the session is 👀 “Explainability Perspectives on a Vision Transformer: From Global Architecture to Single Neuron” by Anne Marx, Yumi Kim, Luca Sichi, Diego Arapovic, Javier Sanguino, @RSevastjanova, and @melassady.
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Next up, @yizhe_ang will present “The Matrix Arcade: A Visual Explorable of Matrix Transformations” 🎮
🕹️ My submission for @3blue1brown's Summer of Math Exposition! #SoME3 Explore the visual intuition behind matrices and linear transformations, and observe how different objects are transformed in 3D space! Made with @SvelteSociety, @threlte, @unconed's MathBox and @greensock
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Starting off the #VISxAI lightning talks is “Can Large Language Models Explain Their Internal Mechanisms?” ⚙️ by @nadamused_, @ghandeharioun, @RyanMullins, @emilyrreif, Jimbo Wilson, @Nithum, and @iislucas
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