Charles K. Assaad

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 17

Top Topics

Conditional Independencies

Top Venues

J. Artif. Intell. Res.

Publications

Simon Ferreira, Charles K. Assaad
Identifying macro conditional independencies and macro total effects in summary causal graphs with latent confounding. CoRR (2024)
Lei Zan, Charles K. Assaad, Emilie Devijver, Éric Gaussier
On the Fly Detection of Root Causes from Observed Data with Application to IT Systems. CoRR (2024)
Simon Ferreira, Charles K. Assaad
Identifiability of Direct Effects from Summary Causal Graphs. AAAI (2024)
Charles K. Assaad
Toward identifiability of total effects in summary causal graphs with latent confounders: an extension of the front-door criterion. CoRR (2024)
Daria Bystrova, Charles K. Assaad, Julyan Arbel, Emilie Devijver, Éric Gaussier, Wilfried Thuiller
Causal Discovery from Time Series with Hybrids of Constraint-Based and Noise-Based Algorithms. Trans. Mach. Learn. Res. 2024 (2024)
Charles K. Assaad, Emilie Devijver, Éric Gaussier, Gregor Gössler, Anouar Meynaoui
Identifiability of total effects from abstractions of time series causal graphs. CoRR (2023)
Simon Ferreira, Charles K. Assaad
Identifiability of direct effects from summary causal graphs. CoRR (2023)
Charles K. Assaad, Imad Ez-zejjari, Lei Zan
Root Cause Identification for Collective Anomalies in Time Series given an Acyclic Summary Causal Graph with Loops. AISTATS (2023)
Charles K. Assaad, Emilie Devijver, Éric Gaussier
Survey and Evaluation of Causal Discovery Methods for Time Series (Extended Abstract). IJCAI (2023)
Charles K. Assaad, Imad Ez-zejjari, Lei Zan
Root Cause Identification for Collective Anomalies in Time Series given an Acyclic Summary Causal Graph with Loops. CoRR (2023)
Charles K. Assaad, Daria Bystrova, Julyan Arbel, Emilie Devijver, Éric Gaussier, Wilfried Thuiller
Hybrids of Constraint-based and Noise-based Algorithms for Causal Discovery from Time Series. CoRR (2023)
Ali Aït-Bachir, Charles K. Assaad, Christophe de Bignicourt, Emilie Devijver, Simon Ferreira, Éric Gaussier, Hosein Mohanna, Lei Zan
Case Studies of Causal Discovery from IT Monitoring Time Series. CoRR (2023)
Lei Zan, Anouar Meynaoui, Charles K. Assaad, Emilie Devijver, Éric Gaussier
A Conditional Mutual Information Estimator for Mixed Data and an Associated Conditional Independence Test. Entropy 24 (9) (2022)
Charles K. Assaad, Emilie Devijver, Éric Gaussier
Discovery of extended summary graphs in time series. UAI (2022)
Charles K. Assaad, Emilie Devijver, Éric Gaussier
Survey and Evaluation of Causal Discovery Methods for Time Series. J. Artif. Intell. Res. 73 (2022)
Charles K. Assaad, Emilie Devijver, Éric Gaussier
Inferring extended summary causal graphs from observational time series. CoRR (2022)
Charles K. Assaad, Emilie Devijver, Éric Gaussier
Entropy-Based Discovery of Summary Causal Graphs in Time Series. Entropy 24 (8) (2022)