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cs.LG2025
multivariateGPT: a decoder-only transformer for multivariate categorical and numeric data
Andrew J. Loza, Jun Yup Kim, Shangzheng Song +4
Real-world processes often generate data that are a mix of categorical and numeric values that are recorded at irregular and informative intervals. Discrete token-based approaches…
cs.LG2024
Trajectory Flow Matching with Applications to Clinical Time Series Modeling
Xi Zhang, Yuan Pu, Yuki Kawamura +4
Modeling stochastic and irregularly sampled time series is a challenging problem found in a wide range of applications, especially in medicine. Neural stochastic differential equat…