| 2025 | UAI | Complete Characterization for Adjustment in Summary Causal Graphs of Time Series. | Clment Yvernes, Emilie Devijver, ric Gaussier |
| 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 | ECAI | Efficient Initial Data Selection and Labeling for Multi-Class Classification Using Topological Analysis. | Lies Hadjadj, Emilie Devijver, Rmi Molinier, Massih-Reza Amini |
| 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 | 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 | AAAI | Transductive Bounds for the Multi-Class Majority Vote Classifier. | Vasilii Feofanov, Emilie Devijver, Massih-Reza Amini |
| 2019 | KDD | Scaling Causal Inference in Additive Noise Models. | Charles K. Assaad, Emilie Devijver, ric Gaussier, Ali At-Bachir |