3 citations · 3 across the 4 of their papers we have counts for
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cs.AI2026
Resolving the bias-precision paradox with stochastic causal representation learning for personalized medicine
Peisong Zhang, Manqiang Peng, Yuxuan Wu +21
Estimating individualized treatment effects from longitudinal observational data is central to data-driven medicine, yet existing methods face a fundamental limitation: reducing co…
cs.AI2023
Reusable Slotwise Mechanisms
Trang Nguyen, Amin Mansouri, Kanika Madan +4
Agents with the ability to comprehend and reason about the dynamics of objects would be expected to exhibit improved robustness and generalization in novel scenarios. However, achi…