2 Matching Annotations
  1. Oct 2023
  2. arxiv.org arxiv.org
    Causal Deep Learning
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    1. mark.crowley 25 Oct 2023
      Causal Deep Learning Authors:Jeroen Berrevoets, Krzysztof Kacprzyk, Zhaozhi Qian, Mihaela van der Schaar

      Very general and ambitious approach for representing the full continuous conceptual spectrum of Pearl's Causal Ladder, and ability to model and learning parts of this from Data.

      Discussed by Prof. van der Shaar at ICML2023 workshop on Counterfactuals.

      causal-inference causality icml2023 to-file
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    arxiv.org/abs/2303.02186
  3. openreview.net openreview.net
    Generative Causal Representation Learning for Out-of-Distribution Motion Forecasting
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    1. mark.crowley 25 Oct 2023

      Shayan Shirahmad Gale Bagi, Zahra Gharaee, Oliver Schulte, and Mark Crowley Generative Causal Representation Learning for Out-of-Distribution Motion Forecasting In International Conference on Machine Learning (ICML). Honolulu, Hawaii, USA. Jul, 2023.

      causality causal-inference deep-learning machine-learning icml icml2023
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    openreview.net/pdf