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My research interests lie in machine learning and artificial intelligence, especially in causal discovery and causality-based learning. I develop methods for automated causal discovery from various kinds of data, investigate learning problems including transfer learning, concept learning, and deep learning from a causal view, and study philosophical foundations of causation and various machine learning tasks. Recently I have been focusing on causal representation learning. On the application side, I am interested in neuroscience, computer vision, computational finance, and climate analysis.
Research Interests
Papers共 520 篇Author StatisticsCo-AuthorSimilar Experts
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arxiv(2024)
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WWW 2024pp.709-720, (2024)
AAAI 2024no. 14 (2024): 15193-15201
Behaviormetrika (2024): 1-22
International Conference on Artificial Intelligence and Statistics (2024): 154-162
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CoRR (2024)
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CoRR (2024)
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Journal of the American Heart Associationno. 4 (2024): e031830-e031830
CIRCULATION-ARRHYTHMIA AND ELECTROPHYSIOLOGYno. 3 (2024): e012145-e012145
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