Identifiability of Direct Effects from Summary Causal Graphs, Simon Ferreira, Charles K. Assaad, 2024, PDF
Case Studies of Causal Discovery from IT Monitoring Time Series, A. Aït-Bachir, C. K. Assaad, C. de Bignicourt, E. Devijver, S. Ferreira, E. Gaussier, H. Mohanna and L. Zan, 2023, PDF
Root Cause Identification for Collective Anomalies in Time Series given an Acyclic Summary Causal Graph with Loops, Charles K. Assaad, Imad Ez-zejarri, Lei Zan. 2023.
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Discovery of Extended Summary Graphs in Time Series, Charles K. Assaad, Emilie Devijver, Eric Gaussier. 2022.
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Survey and Evaluation of Causal Discovery Methods for Time Series, Charles K. Assaad, Emilie Devijver, and Eric Gaussier. 2022.
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A Conditional Mutual Information Estimator for Mixed Data and an Associated Conditional Independence Test, Lei Zan, Anouar Meynaoui, Charles K. Assaad, Emilie Devijver, Eric Gaussier. 2022.
Entropy-Based Discovery of Summary Causal Graphs in Time Series, Charles K. Assaad, Emilie Devijver, Eric Gaussier. 2022.
A Mixed Noise and Constraint-Based Approach to Causal Inference in Time Series, Charles K. Assaad, Emilie Devijver, Eric Gaussier, and Ali Ait-Bachir. 2021.
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Scaling Causal Inference in Additive Noise Models, Charles K. Assaad, Emilie Devijver, Eric Gaussier, and Ali Ait-Bachir. 2019.
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Period-aware content attention RNNs for time series forecasting with missing values, Yagmur Gizem Cinar, Hamid Mirisaee, Parantapa Goswami, Éric Gaussier, Ali Aït-Bachir. 2018.
Online metrics prediction in monitoring systems, Matthieu Caneill, Noel De Palma, Ali Aït-Bachir, Bastien Dine, Rachid Mokhtari, Yagmur Gizem Cinar. 2018.
Position-Based Content Attention for Time Series Forecasting with Sequence-to-Sequence RNNs, Yagmur Gizem Cinar, Hamid Mirisaee, Parantapa Goswami, Éric Gaussier, Ali Aït-Bachir, Vadim V. Strijov. 2017.
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