Looking forward to the next “Theory of Interpretable AI” seminar on January 15, where Chhavi Yadav will present "ExpProof"! A fresh take on trustworthy explanations for confidential ML models using Zero-Knowledge Proofs. Feel free to join! #interpretability #Crypto

tverven.github.io/tiai-seminar/

Ayman will present at the Theory of Interpretability Seminar!

He’ll share a new approach for optimal, interpretable decision trees with strong efficiency guarantees. 🌳✨
🗓️ Join us to learn how AO* search leads to provably better sparse trees!

tverven.github.io/tiai-seminar/

Coming up tomorrow (Tuesday 11 Nov) in the Theory of Interpretability seminar: Ulrike von Luxburg will discuss why
informative explanations only exist for simple functions 👀

tverven.github.io/tiai-seminar/

The next talk in the Theory of Interpretable AI seminar will be by Shahaf Bassan on "The Computational Complexity of Explaining ML Models".

Tuesday October 21
tverven.github.io/tiai-seminar/

🚨 The Theory of Interpretable AI Seminar is back after the summer!
🎙️ Tobias Leemann: On Identifiability & Representational Power of Post-Hoc Explanations
📅 Sept 9, 4PM CET / 10AM EST
📍 Online: uva-live.zoom.us/j/87120549999
🔗 Website: tverven.github.io/tiai-seminar/

4th AI & Mathematics in NL workshop in Tilburg.

Many cool presentations: aimath.nl/index.php/20...

And great people:

Happening today:

⏰⏰ Theory of Interpretable AI Seminar ⏰⏰
Chain-of-Thought: Why does explaining to LLMs using CoT prompting work?

Join us on June 3, when Bohang Zhang will dive into the mechanisms behind chain-of-thought prompting — and what makes it so effective

tverven.github.io/tiai-seminar/

⏰⏰ Theory of Interpretable AI Seminar ⏰⏰
Chain-of-Thought: Why does explaining to LLMs using CoT prompting work?

Join us on June 3, when Bohang Zhang will dive into the mechanisms behind chain-of-thought prompting — and what makes it so effective

tverven.github.io/tiai-seminar/

Curious about feature attribution?

SHAP & LIME treat features independently—but features interact!
Come hear how to "Disentangle Interactions and Dependencies in Feature Attribution"

Tuesday May 6 (today!) 4pm CET, 10am ET
tverven.github.io/tiai-seminar/

⏰⏰Theory of Interpretable AI Seminar ⏰⏰

In two weeks, April 8, Mirco Mutti will talk about "A Classification View on Meta Learning Bandits"

Couldn't make it to Atticus's talk last week on the current state of interpretability?

No worries! Fortunately for you, the talk is rescheduled to Wednesday this week😄

Please do join us!

🌐: tverven.github.io/tiai-seminar/

⏰⏰Theory of Interpretable AI Seminar ⏰⏰

Tuesday in two weeks we will hear from Atticus Geiger on "The Current State of Interpretability and Ideas for Scaling Up"

Website: tverven.github.io/tiai-seminar/
Date: 4 March, 4pm CET/ 10am ET

The next theory of interpretable AI seminar is Tuesday next week. We will have Jeremias Sulam, who will present "Testing Semantic Importance via Conditional Independence and Betting"

💻Website: tverven.github.io/tiai-seminar/
⏰Date: 4 Feb, 4pm CET/ 10am ET

The theory of interpretable AI seminar is back after the holiday season! 🎅🤶

Our next talk is next Thursday by Yishay Mansour who will talk about interpretable approximations

💻 Website: tverven.github.io/tiai-seminar/
⏰Date: 16 Jan

📢Theory of Interpretable AI Seminar📢

On Thursday, Depen Morwani from Harvard will present work on how **margin maximization** can explain observed phenomena in mechanistic interpretability!

⏲️Thursday Dec 5th, 4pm CET / 10am EST
🌐https://tverven.github.io/tiai-seminar/

⏰⏰⏰Theory of Interpretable AI Seminar ⏰⏰⏰

In one week, Andrej Risteski will present "Discernible Patterns in Trained Transformers: A View from Simple Linguistic Sandboxes"

⏲️ Monday Nov 18, 4pm CET/10am EST, via zoom. (Notice the unusual day and hour!)

tverven.github.io/tiai-seminar/