We show applications to long-term outcomes and decision making, developing our works on 'causal parrots' openreview.net/pdf?id=tv46t... and meta-causality openreview.net/pdf?id=J9Vog... .

Thanks to my coauthors @philosotim.bsky.social, @devendradhami.bsky.social and @kerstingaiml.bsky.social! 2/4

I'm excited to share some updates:

1) Our paper "When Causal Dynamics Matter: Adapting Causal Strategies through Meta-Aware Interventions" (openreview.net/pdf?id=3fpYX...) will be at #NeurIPS2025

We introduce Meta-Causal Analysis to model qualitative transitions of causal systems. 1/4

We also identified 10 particularly challenging Bongard Problems that none of the models could solve under any setting. The challenge remains wide open!
3 examples of the challenging BPs:

Interestingly, success in solving the BPs (Open Question) doesn't translate to correctly categorizing individual images 👉 the sets of BPs solved in each task are not the same!
This suggests that getting the right final answer doesn’t always mean genuine understanding 🤔

Our evaluation shows the top-performing model (o1) solved 43 out of 100 problems, with the others trailing far behind. There’s still a long way to go for current AI models!

Excited to share that our paper got accepted at #ICML2025!! 🎉

We challenge Vision-Language Models like OpenAI’s o1 with Bongard problems, classic visual reasoning challenges and uncover surprising shortcomings.

Check out the paper: arxiv.org/abs/2410.19546
& read more below 👇

I'm excited to present our spotlight on meta-causal models at #ICLR2025 next week.

We model evolving causal graphs in dynamic systems. Applications to inference and attribution of agent actions. Paper: openreview.net/forum?id=J9V...

Visit our poster #441 during the Sat 3pm session.

Thrilled to share our #ICLR2025 work on Meta-Causal States! 🌟 Causal graphs evolve with dynamic systems & agent actions. We show how to cluster causal models by qualitative behavior, revealing hidden dynamics & emergent relationships 🚀 #Causality #ML

https://arxiv.org/abs/2410.13054

This might be interesting for the same. We provide the concept of meta causal states that can be used to analyze the changes in the causal graph. Work with @moritzwillig.bsky.social @florianbusch.bsky.social @kerstingaiml.bsky.social et al. arxiv.org/abs/2410.13054