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cs.LG2026
Showing versus Doing: Teaching by Demonstration
Mark K. Ho, Michael L. Littman, James MacGlashan +2
People often learn from others' demonstrations, and inverse reinforcement learning (IRL) techniques have realized this capacity in machines. In contrast, teaching by demonstration…
cs.LG2026
TEMPO: Transformers for Temporal Disease Progression from Cross-Sectional Data
Hongtao Hao, Joseph L. Austerweil
Event-Based Models (EBMs) infer biomarker progression from cross-sectional data but typically only as ordinal sequences and rely on rigid model assumptions. We propose \textsc{Temp…
cs.LG2026
Joint Progression Modeling (JPM): A Probabilistic Framework for Mixed-Pathology Progression
Hongtao Hao, Joseph L. Austerweil
Event-based models (EBMs) infer disease progression from cross-sectional data, and standard EBMs assume a single underlying disease per individual. In contrast, mixed pathologies a…