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
➡️ https://t.co/28cyQ7wcCo
🤖 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 https://t.co/GpHjGOarFP
#VISxAI IS BACK!! 🤖📊
Submit your interactive “explorables” and “explainables” that visualize, interpret, and explain AI. #IEEEVIS
📆 Deadline: July 30, 2025
https://t.co/28cyQ7wcCo
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 https://t.co/nNYCUXbSKx
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. https://t.co/C1OfIMMniJ
Next, we have “A Visual Tour to Empirical Neural Network Robustness” by @ChenChe91591871, @JinbinHuang, Ethan M Remsberg, and @zcliu. 💪 https://t.co/E7aGzXBz8j
The Illustrated AlphaFold
https://t.co/i65yxiS03o
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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Our afternoon lightning talks are STARTING NOW! Don’t miss explainables on topics across computational biology 🧪 , AI robustness 💪, graph neural networks 🤖, and LLM prompting 💻.