Dynamics-centric mixtures of local reconstruction, temporal continuity, and in-context dynamics objectives in PathoFM yield the most balanced transfer across tasks and subjects on clinical gait time series.
A hybrid approach for dynamically training a torque prediction model for devising a human- machine interface control strategy.arXiv preprint arXiv:2110.03085, 2021
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On the Role of Inductive Bias in Time-Series Pretraining: A Case Study in Learning Generalizable Representations for Clinical Time Series
Dynamics-centric mixtures of local reconstruction, temporal continuity, and in-context dynamics objectives in PathoFM yield the most balanced transfer across tasks and subjects on clinical gait time series.