🚨CFP #Causal #Representation #Learning NeurIPS Conference 2023 WS🚨 Do you have ideas on how to learn #causal representations from raw data, e.g. images, #abstract #macro variables or leverage #causality in #ML? Then submit a max 6 pg paper to our workshop crl-workshop.github.io

We are excited to announce the newly created seminar series: 🚀Amsterdam Causality Meeting 🚀 📅 Monday October 9th, 15:00-18:00 📍 UvA Science Park room D1.114 🔗 amscausality.github.io Register for the Google Group here: [email protected]

#ICLR24 Welcome to check out our multi-view CRL work ✨ When: Friday 10:45-12:45 CEST Where: Hall B Number: 194

Exciting UvA AMLab seminar by Luigi Gresele (Copenhagen Causality Lab) on "Representation Learning with Orthogonal Coordinate Transformations" today at UvA Amsterdam - what insights does #causality provide for generative models with provable guarantees?

Tired of causally confused agents when learning from offline datasets? We propose 🚣🏼‍♀️CAIAC🚣🏼‍♀️, a method for counterfactual data augmentation to improve the robustness of offline learning agents against extreme distributional shifts at test time. 🧵