| 2025 | AAAI | Identifying Macro Conditional Independencies and Macro Total Effects in Summary Causal Graphs with Latent Confounding. | Simon Ferreira, Charles K. Assaad |
| 2024 | AAAI | Identifiability of Direct Effects from Summary Causal Graphs. | Simon Ferreira, Charles K. Assaad |
| 2024 | CIKM | On the Fly Detection of Root Causes from Observed Data with Application to IT Systems. | Lei Zan, Charles K. Assaad, Emilie Devijver, ric Gaussier, Ali At-Bachir |
| 2024 | UAI | Identifiability of total effects from abstractions of time series causal graphs. | Charles K. Assaad, Emilie Devijver, ric Gaussier, Gregor Goessler, Anouar Meynaoui |
| 2023 | AISTATS | 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 |
| 2023 | IJCAI | Survey and Evaluation of Causal Discovery Methods for Time Series (Extended Abstract). | Charles K. Assaad, Emilie Devijver, ric Gaussier |
| 2022 | UAI | Discovery of extended summary graphs in time series. | Charles K. Assaad, Emilie Devijver, ric Gaussier |
| 2019 | KDD | Scaling Causal Inference in Additive Noise Models. | Charles K. Assaad, Emilie Devijver, ric Gaussier, Ali At-Bachir |