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Come check out “Explaining Text-to-Command Conversational Models” 💬 with Peter Stupar, Grégory Mermoud, and Jean-Philippe Vasseur explain-text-to-command.com

Our next lighting talk is 🗣️ “TalkToRanker: A Conversational Interface for Ranking-based Decision-Making” by Conor Fitzpatrick, Jun Yuan, and Aritra Dasgupta. talktoranker.njitvis.com

Now we have @kmurphysics and Dani S. Bassett presenting “Where is the information in data?” 🔍 murphyka.github.io/information_ex…

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, Rita Sevastjanova, and Menna El-Assady. explainability-vit.ivia.ch

Time for a break. ☕️ Keep the conversation going in the Discord channel! We will see you back at 10:45.

Our afternoon lightning talks are STARTING NOW! Don’t miss explainables on topics across computational biology 🧪 , AI robustness 💪, graph neural networks 🤖, and LLM prompting 💻.

First up, watch Elana Simon and Jake Silberg present “The Illustrated AlphaFold” 🧬elanapearl.github.io/blog/2024/the-…

Next, we have “A Visual Tour to Empirical Neural Network Robustness” by Chen Chen, Jinbin Huang, Ethan M Remsberg, and Zhicheng Liu. 💪 cchen-vis.github.io/Narrative-Viz-…

Come watch “Panda or Gibbon? A Beginner's Introduction to Adversarial Attacks” by Yuzhe You and Jian Zhao 🐼🐵 visxai-aml.vercel.app

Our next lightning talk is 🧑‍🏫 “What Can a Node Learn from Its Neighbors in Graph Neural Networks?” by Yilin Harry Lu, Chongwei Chen, Matthew Xu, and Qianwen Wang. visual-intelligence-umn.github.io/GNN-101/

Now Shawn Simister will present ⌨️ “ExplainPrompt: Decoding the language of AI prompt” explainprompt.com

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 …lizing-interpretable-model.vercel.app

Finishing strong with Adam Pearce’s Closing Keynote covering Why Aren't We Using Visualizations to Interact with AI? 📉

Congratulations to our best submission award winners!! 🏆 “Can Large Language Models Explain Their Internal Mechanisms?” by @nadamused_, Asma Ghandeharioun, Ryanmullins, Emily Reif, Jimbo Wilson, Nithum, and iislucas (Lucas Dixon) 🏆 “The Illustrated AlphaFold” Elana Simon and Jake Silberg

Thank you for joining us at #VISxAI2024! Explore all of the amazing explainables presented today on our website visxai.io 🎉🎉🎉

I just rewatched Adam Pearce's talk VISxAI and it's a real gem of reflections on the field. Highly recommend! youtube.com/watch?v=UUkftG…

🤖 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