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cs.LG2026
Zero-Flow Two-Sample Tests
Yakun Wang, Leyang Wang, Song Liu +1
Motivated by the success of modern flow-based generative models in modeling complex data, we study two-sample testing through the lens of flow-based methods. We propose the Zero-Fl…
cs.LG2024
Dimensionality-induced information loss of outliers in deep neural networks
Kazuki Uematsu, Kosuke Haruki, Taiji Suzuki +3
Out-of-distribution (OOD) detection is a critical issue for the stable and reliable operation of systems using a deep neural network (DNN). Although many OOD detection methods have…