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Perfect density models cannot guarantee anomaly detection
Thanks to the tractability of their likelihood, several deep generative models show promise
for seemingly straightforward but important applications like anomaly detection, uncertainty …
for seemingly straightforward but important applications like anomaly detection, uncertainty …
Distinguishing cause and effect in bivariate structural causal models: A systematic investigation
C Käding, J Runge - Journal of Machine Learning Research, 2023 - jmlr.org
Distinguishing cause and effect from purely observational data is a fundamental problem in
science. Even the atomic bivariate case, seemingly the simplest, is challenging and requires …
science. Even the atomic bivariate case, seemingly the simplest, is challenging and requires …