Identifiability and Transportability in Dynamic Causal Networks

18 October 2016

Papers citing "Identifiability and Transportability in Dynamic Causal Networks"

9 / 9 papers shown

Title
Complete Characterization for Adjustment in Summary Causal Graphs of Time Series Clément Yvernes Emilie Devijver Éric Gaussier CML 17 1 0 17 Jun 2025
Causal Identification in Time Series Models Erik Jahn Karthik Karnik Leonard J. Schulman CML AI4TS 93 0 0 28 Apr 2025
Identifiability of total effects from abstractions of time series causal graphs Charles K. Assaad Emilie Devijver Éric Gaussier Gregor Gössler Anouar Meynaoui CML 52 7 0 23 Oct 2023
Grasping Causality for the Explanation of Criticality for Automated Driving Tjark Koopmann Christian Neurohr Lina Putze Lukas Westhofen Roman Gansch Ahmad Adee 68 5 0 27 Oct 2022
Learning Causal Models of Autonomous Agents using Interventions Pulkit Verma Siddharth Srivastava CML 37 6 0 21 Aug 2021
Path Dependent Structural Equation Models R. Srinivasan Jaron J. R. Lee Rohit Bhattacharya Narges Ahmidi I. Shpitser CML 41 4 0 24 Aug 2020
Learning and Sampling of Atomic Interventions from Observations Arnab Bhattacharyya Sutanu Gayen S. Kandasamy Ashwin Maran N. V. Vinodchandran CML 47 4 0 11 Feb 2020
Causal Discovery with a Mixture of DAGs Eric V. Strobl CML 67 17 0 28 Jan 2019
A Constraint-Based Algorithm For Causal Discovery with Cycles, Latent Variables and Selection Bias Eric V. Strobl CML 70 30 0 05 May 2018