Continuous-Time Modeling of Counterfactual Outcomes Using Neural CDEs

Causality/paper 2026. 1. 19. 13:18

GitHub - seedatnabeel/TE-CDE: Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations

Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations (ICML 2022) - seedatnabeel/TE-CDE

github.com

(ICML 2022)

[CRN] Estimating Counterfactual Treatment Outcomes over Time through Adversarially Balanced Representations (0)	2026.02.18
[BNCDE] Bayesian Neural CDEs for Treatment Effect Estimation (0)	2026.01.19
[TimePFN] MTS Forecasting with Synthetic Data (0)	2026.01.17
[CausalFM] Foundation Models for Causal Inference via PFNs (0)	2026.01.14
[CausalPFN] Amortized Causal Effect Estimation via In-Context Learning (0)	2026.01.10

밤에 쓰는 편지 밤에 쓰는 편지