Quantifying Causes of Arctic Amplification via Deep Learning Based Time-Series Causal Inference.
Sahara AliOmar FaruqueYiyi HuangMd. Osman GaniAneesh SubramanianNicole-Jeanne SchlegelJianwu WangPublished in: ICMLA (2023)
Keyphrases
- deep learning
- causal inference
- rare events
- additive noise
- unsupervised learning
- abductive reasoning
- causal models
- machine learning
- nonmonotonic reasoning
- weakly supervised
- discrete data
- mental models
- fraud detection
- maximum likelihood
- noisy images
- hidden markov models
- pattern recognition
- logic programs
- semi supervised
- importance sampling
- training data
- decision making
- feature selection