Reviewing our ongoing works on generalizing CRL for multiple causal models.
We combine Causal Representation Learning with LLMs for reasoning about world models.
I was invited to the Rising Stars in AI Symposium to give a talk on our work in Causal Representation Learning.
I gave an short introduction into causal representation learning and our ICML work "CITRIS".
I gave an overview on recent advances in causal representation learning and possible relations to causal incentives analysis in AGI safety at the Causal Incentive Working Group.
I gave an invited talk on our vision for causal representation learning from temporal observations at the First Workshop on Causal Representation Learning at UAI 2022.
I presented our ICML paper on causal representation learning from temporal observations.
I gave an short introduction into causal discovery and our ICLR work "ENCO".
I gave a contributed talk on our paper "Efficient Neural Causal Discovery".