Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations

16 June 2022

Papers citing "Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations"

39 / 39 papers shown

Title
Time After Time: Deep-Q Effect Estimation for Interventions on When and What to do Yoav Wald M. Goldstein Yonathan Efroni Wouter A. C. van Amsterdam Rajesh Ranganath CML 74 0 0 20 Mar 2025
GST-UNet: Spatiotemporal Causal Inference with Time-Varying Confounders M. Oprescu David K. Park Xihaier Luo Shinjae Yoo Nathan Kallus AI4TS CML 43 0 0 07 Feb 2025
Trajectory Flow Matching with Applications to Clinical Time Series Modeling Xi Zhang Yuan Pu Yuki Kawamura Andrew Loza Yoshua Bengio Dennis L. Shung Alexander Tong OOD AI4TS MedIm 23 2 0 28 Oct 2024
Balanced Neural ODEs: nonlinear model order reduction and Koopman operator approximations Julius Aka Johannes Brunnemann Jörg Eiden Arne Speerforck Lars Mikelsons 23 0 0 14 Oct 2024
Uncertainty-Aware Optimal Treatment Selection for Clinical Time Series Thomas Schwarz Cecilia Casolo Niki Kilbertus CML 33 0 0 11 Oct 2024
Causal machine learning for predicting treatment outcomes Stefan Feuerriegel Dennis Frauen Valentyn Melnychuk J. Schweisthal Konstantin Hess Alicia Curth Stefan Bauer Niki Kilbertus Isaac S. Kohane Mihaela van der Schaar CML 19 88 0 11 Oct 2024
Stabilized Neural Prediction of Potential Outcomes in Continuous Time Konstantin Hess Stefan Feuerriegel 46 0 0 04 Oct 2024
Model-agnostic meta-learners for estimating heterogeneous treatment effects over time Dennis Frauen Konstantin Hess Stefan Feuerriegel 29 5 0 07 Jul 2024
Spatio-Temporal Graphical Counterfactuals: An Overview Mingyu Kang Duxin Chen Ziyuan Pu Jianxi Gao Wenwu Yu CML 30 1 0 02 Jul 2024
Decoupled Marked Temporal Point Process using Neural Ordinary Differential Equations Yujee Song Donghyun Lee Rui Meng Won Hwa Kim AI4TS 23 4 0 10 Jun 2024
G-Transformer: Counterfactual Outcome Prediction under Dynamic and Time-varying Treatment Regimes Hong Xiong Feng Wu Leon Deng Megan Su Li-wei H. Lehman AI4CE 25 2 0 08 Jun 2024
Causal Contrastive Learning for Counterfactual Regression Over Time Mouad El Bouchattaoui Myriam Tami Benoit Lepetit P. Cournède CML AI4TS 38 2 0 01 Jun 2024
G-Transformer for Conditional Average Potential Outcome Estimation over Time Konstantin Hess Dennis Frauen Valentyn Melnychuk Stefan Feuerriegel 54 2 0 31 May 2024
Rough Transformers: Lightweight and Continuous Time Series Modelling through Signature Patching Fernando Moreno-Pino Alvaro Arroyo H. Waldon Xiaowen Dong Álvaro Cartea AI4TS 32 1 0 31 May 2024
ODE Discovery for Longitudinal Heterogeneous Treatment Effects Inference Krzysztof Kacprzyk Samuel Holt Jeroen Berrevoets Zhaozhi Qian M. Schaar 51 4 0 16 Mar 2024
Rough Transformers for Continuous and Efficient Time-Series Modelling Fernando Moreno-Pino Alvaro Arroyo H. Waldon Xiaowen Dong Álvaro Cartea AI4TS MedIm 34 5 0 15 Mar 2024
Causal Graph ODE: Continuous Treatment Effect Modeling in Multi-agent Dynamical Systems Zijie Huang Jeehyun Hwang Junkai Zhang Jinwoo Baik Weitong Zhang Dominik Wodarz Yizhou Sun Q. Gu Wei Wang CML AI4CE 44 4 0 29 Feb 2024
A Foundational Framework and Methodology for Personalized Early and Timely Diagnosis Tim Schubert Richard W. Peck Alexander Gimson Camelia Davtyan M. Schaar AI4CE 17 1 0 26 Nov 2023
Bounds on Representation-Induced Confounding Bias for Treatment Effect Estimation Valentyn Melnychuk Dennis Frauen Stefan Feuerriegel CML 27 9 0 19 Nov 2023
Explainable History Distillation by Marked Temporal Point Process Sishun Liu Ke Deng Yan Wang Xiuzhen Zhang 28 0 0 13 Nov 2023
COSTAR: Improved Temporal Counterfactual Estimation with Self-Supervised Learning Chuizheng Meng Yihe Dong Sercan Ö. Arik Yan Liu Tomas Pfister CML AI4TS 16 0 0 01 Nov 2023
Bayesian Neural Controlled Differential Equations for Treatment Effect Estimation Konstantin Hess Valentyn Melnychuk Dennis Frauen Stefan Feuerriegel 27 14 0 26 Oct 2023
A Counterfactual Fair Model for Longitudinal Electronic Health Records via Deconfounder Zheng Liu Xiaohan Li Philip Yu CML 25 1 0 22 Aug 2023
CTP:A Causal Interpretable Model for Non-Communicable Disease Progression Prediction Zhoujian Sun Wenzhuo Zhang Zhengxing Huang Nai Ding Cheng Luo CML 23 2 0 18 Aug 2023
CF-GODE: Continuous-Time Causal Inference for Multi-Agent Dynamical Systems Song Jiang Zijie Huang Xiao Luo Yizhou Sun CML 21 14 0 20 Jun 2023
Temporal Causal Mediation through a Point Process: Direct and Indirect Effects of Healthcare Interventions Caglar Hizli S. T. John A. Juuti Tuure Saarinen Kirsi Pietiläinen Pekka Marttinen CML 19 1 0 16 Jun 2023
Accounting For Informative Sampling When Learning to Forecast Treatment Outcomes Over Time Toon Vanderschueren Alicia Curth Wouter Verbeke M. Schaar 14 14 0 07 Jun 2023
On the Generalization and Approximation Capacities of Neural Controlled Differential Equations Linus Bleistein Agathe Guilloux 30 1 0 26 May 2023
Counterfactual Generative Models for Time-Varying Treatments Shenghao Wu Wen-liang Zhou Minshuo Chen Shixiang Zhu DiffM CML 28 6 0 25 May 2023
Counterfactual Outcome Prediction using Structured State Space Model Vishal Purohit CML OOD 12 0 0 16 May 2023
Estimating Treatment Effects from Irregular Time Series Observations with Hidden Confounders Defu Cao James Enouen Yujing Wang Xiangchen Song Chuizheng Meng Hao Niu Yan Liu CML 30 21 0 04 Mar 2023
Neural Laplace Control for Continuous-time Delayed Systems Samuel Holt Alihan Huyuk Zhaozhi Qian Hao Sun M. Schaar OffRL 16 10 0 24 Feb 2023
Benchmarking Continuous Time Models for Predicting Multiple Sclerosis Progression Alexander Norcliffe Lev Proleev Diana Mincu F. Hartsell Katherine A. Heller Subhrajit Roy 26 2 0 15 Feb 2023
Adversarial De-confounding in Individualised Treatment Effects Estimation Vinod Kumar Chauhan Soheila Molaei Marzia Hoque Tania Anshul Thakur T. Zhu David A. Clifton CML 15 14 0 19 Oct 2022
A Survey of Deep Causal Models and Their Industrial Applications Zongyu Li Xiaoning Guo Siwei Qiang CML AI4CE 27 7 0 19 Sep 2022
Causal Modeling of Policy Interventions From Sequences of Treatments and Outcomes Caglar Hizli S. T. John A. Juuti Tuure Saarinen Kirsi Pietiläinen Pekka Marttinen CML 14 1 0 09 Sep 2022
Estimating counterfactual treatment outcomes over time in complex multiagent scenarios Keisuke Fujii Koh Takeuchi Atsushi Kuribayashi Naoya Takeishi Yoshinobu Kawahara K. Takeda CML 25 14 0 04 Jun 2022
Learning Representations for Counterfactual Inference Fredrik D. Johansson Uri Shalit David Sontag CML OOD BDL 210 719 0 12 May 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,109 0 06 Jun 2015