526 citations · 783 across the 36 of their papers we have counts for
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cs.LG2026
Constrained latent state modeling: A unifying perspective on representation learning under competing constraints
Gwenolé Quellec
Learning latent representations from temporal, multimodal, and partially observed data requires specifying what information a latent state should retain, discard, and organize. Exi…
cs.LG2024
LaTiM: Longitudinal representation learning in continuous-time models to predict disease progression
Rachid Zeghlache, Pierre-Henri Conze, Mostafa El Habib Daho +9
This work proposes a novel framework for analyzing disease progression using time-aware neural ordinary differential equations (NODE). We introduce a "time-aware head" in a framewo…