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DynaSubVAE: Adaptive Subgrouping for Scalable and Robust OOD Detection
Tina Behrouzi, Sana Tonekaboni, Rahul G. Krishnan +1
Real-world observational data often contain existing or emerging heterogeneous subpopulations that deviate from global patterns. The majority of models tend to overlook these under…
Beyond Masked and Unmasked: Discrete Diffusion Models via Partial Masking
Chen-Hao Chao, Wei-Fang Sun, Hanwen Liang +2
Masked diffusion models (MDM) are powerful generative models for discrete data that generate samples by progressively unmasking tokens in a sequence. Each token can take one of two…
ExOSITO: Explainable Off-Policy Learning with Side Information for Intensive Care Unit Blood Test Orders
Zongliang Ji, Andre Carlos Kajdacsy-Balla Amaral, Anna Goldenberg +1
Ordering a minimal subset of lab tests for patients in the intensive care unit (ICU) can be challenging. Care teams must balance between ensuring the availability of the right info…