Assaad, Charles K.

13 publications

CLeaR 2025 Causal Reasoning in Difference Graphs Charles K. Assaad

NeurIPS 2025 Identifying Macro Causal Effects in C-DMGs over DMGs Simon Ferreira, Charles K. Assaad

TMLR 2025 Identifying Macro Causal Effects in a C-DMG over ADMGs Simon Ferreira, Charles K. Assaad

AAAI 2025 Identifying Macro Conditional Independencies and Macro Total Effects in Summary Causal Graphs with Latent Confounding Simon Ferreira, Charles K. Assaad

TMLR 2025 Towards Identifiability of Micro Total Effects in Summary Causal Graphs with Latent Confounding: Extension of the Front-Door Criterion Charles K. Assaad

TMLR 2024 Causal Discovery from Time Series with Hybrids of Constraint-Based and Noise-Based Algorithms Daria Bystrova, Charles K. Assaad, Julyan Arbel, Emilie Devijver, Eric Gaussier, Wilfried Thuiller

AAAI 2024 Identifiability of Direct Effects from Summary Causal Graphs Simon Ferreira, Charles K. Assaad

UAI 2024 Identifiability of Total Effects from Abstractions of Time Series Causal Graphs Charles K. Assaad, Emilie Devijver, Eric Gaussier, Gregor Goessler, Anouar Meynaoui

AISTATS 2023 Root Cause Identification for Collective Anomalies in Time Series Given an Acyclic Summary Causal Graph with Loops Charles K. Assaad, Imad Ez-Zejjari, Lei Zan

IJCAI 2023 Survey and Evaluation of Causal Discovery Methods for Time Series (Extended Abstract) Charles K. Assaad, Emilie Devijver, Éric Gaussier

UAI 2022 Discovery of Extended Summary Graphs in Time Series Charles K. Assaad, Emilie Devijver, Eric Gaussier

JAIR 2022 Survey and Evaluation of Causal Discovery Methods for Time Series Charles K. Assaad, Emilie Devijver, Éric Gaussier

ECML-PKDD 2021 A Mixed Noise and Constraint-Based Approach to Causal Inference in Time Series Charles K. Assaad, Emilie Devijver, Éric Gaussier, Ali Aït-Bachir