Scaling Causal Inference in Additive Noise Models. - Charles K. Assaad; Emilie Devijver; Éric Gaussier; Ali Aït-Bachir (CD@KDD, 2019)

A Mixed Noise and Constraint-Based Approach to Causal Inference in Time Series. - Charles K. Assaad; Emilie Devijver; Éric Gaussier; Ali Aït-Bachir (ECML/PKDD (1), 2021)

Causal Discovery between time series. (Découvertes de relations causales entreséries temporelles). - Charles K. Assaad (2021)

Discovery of extended summary graphs in time series. - Charles K. Assaad; Emilie Devijver; Éric Gaussier (UAI, 2022)

Inferring extended summary causal graphs from observational time series. - Charles K. Assaad; Emilie Devijver; Éric Gaussier (CoRR, 2022)

Entropy-Based Discovery of Summary Causal Graphs in Time Series. - Charles K. Assaad; Emilie Devijver; Éric Gaussier (Entropy, 2022)

A Conditional Mutual Information Estimator for Mixed Data and an Associated Conditional Independence Test. - Lei Zan; Anouar Meynaoui; Charles K. Assaad; Emilie Devijver; Éric Gaussier (Entropy, 2022)

Survey and Evaluation of Causal Discovery Methods for Time Series. - Charles K. Assaad; Emilie Devijver; Éric Gaussier (J. Artif. Intell. Res., 2022)

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 (AISTATS, 2023)

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

Hybrids of Constraint-based and Noise-based Algorithms for Causal Discovery from Time Series. - Charles K. Assaad; Daria Bystrova; Julyan Arbel; Emilie Devijver; Éric Gaussier; Wilfried Thuiller (CoRR, 2023)

Case Studies of Causal Discovery from IT Monitoring Time Series. - Ali Aït-Bachir; Charles K. Assaad; Christophe de Bignicourt; Emilie Devijver; Simon Ferreira; Éric Gaussier; Hosein Mohanna; Lei Zan (CoRR, 2023)

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

On the Fly Detection of Root Causes from Observed Data with Application to IT Systems. - Lei Zan; Charles K. Assaad; Emilie Devijver; Éric Gaussier; Ali Aït-Bachir (CIKM, 2024)

Identifiability of total effects from abstractions of time series causal graphs. - Charles K. Assaad; Emilie Devijver; Éric Gaussier; Gregor Goessler; Anouar Meynaoui (UAI, 2024)

On the Fly Detection of Root Causes from Observed Data with Application to IT Systems. - Lei Zan; Charles K. Assaad; Emilie Devijver; Éric Gaussier (CoRR, 2024)

Toward identifiability of total effects in summary causal graphs with latent confounders: an extension of the front-door criterion. - Charles K. Assaad (CoRR, 2024)

Average Controlled and Average Natural Micro Direct Effects in Summary Causal Graphs. - Simon Ferreira; Charles K. Assaad (CoRR, 2024)

Discovering maximally consistent distribution of causal tournaments with Large Language Models. - Federico Baldo; Simon Ferreira; Charles K. Assaad (CoRR, 2024)

Causal Discovery from Time Series with Hybrids of Constraint-Based and Noise-Based Algorithms. - Daria Bystrova; Charles K. Assaad; Julyan Arbel; Emilie Devijver; Éric Gaussier; Wilfried Thuiller (Trans. Mach. Learn. Res., 2024)

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

Causal reasoning in difference graphs. - Charles K. Assaad (CLeaR, 2025)

Towards identifiability of micro total effects in summary causal graphs with latent confounding: extension of the front-door criterion. - Charles K. Assaad (Trans. Mach. Learn. Res., 2025)

Identifying Macro Causal Effects in a C-DMG over ADMGs. - Simon Matthieu Ferreira; Charles K. Assaad (Trans. Mach. Learn. Res., 2025)

Identifying Macro Causal Effects in C-DMGs. - Simon Ferreira; Charles K. Assaad (CoRR, 2025)

Local Markov Equivalence and Local Causal Discovery for Identifying Controlled Direct Effects. - Timothée Loranchet; Charles K. Assaad (CoRR, 2025)

Identifiability by common backdoor in summary causal graphs of time series. - Clément Yvernes; Charles K. Assaad; Emilie Devijver; Éric Gaussier (CoRR, 2025)

Identifying Macro Causal Effects in C-DMGs over DMGs. - Simon Ferreira; Charles K. Assaad (CoRR, 2025)