Causal Representation, now getting its due importance in machine learning

Causal Representation, now getting its due importance in machine learning

Researchers at work find a way to enhance AI systems working through causal learning to overcome challenges.

Bernhard Scholkopf and Stefan Bauer from Max Planck Institute for Intelligent Systems; Francesco Locatello and Nal Kalchbrenner as Google researchers; Yoshua Bengio, Nan Rosemary Ke, and Anirudh Goyal from Montreal Institute for Learning Algorithms (Mila) came together for research.

Read more: https://analyticsindiamag.com/causal-representation-is-now-getting-its-due-importance-in-machine-learning/

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