Emilie Devijver

41 papers A* 3A 5Journal 31Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	Complete Characterization for Adjustment in Summary Causal Graphs of Time Series. UAI Clément Yvernes, Emilie Devijver, Éric Gaussier
2025	J	`jnl`	Complete Characterization for Adjustment in Summary Causal Graphs of Time Series. CoRR Clément Yvernes, Emilie Devijver, Éric Gaussier
2025	J	`jnl`	Identifiability by common backdoor in summary causal graphs of time series. CoRR Clément Yvernes, Charles K. Assaad, Emilie Devijver, Éric Gaussier
2025	J	`jnl`	Identifiability in Causal Abstractions: A Hierarchy of Criteria. CoRR Clément Yvernes, Emilie Devijver, Marianne Clausel, Éric Gaussier
2025	J	`jnl`	Modèles de Fondation et Ajustement : Vers une Nouvelle Génération de Modèles pour la Prévision des Séries Temporelles. CoRR Morad Laglil, Emilie Devijver, Éric Gaussier, Bertrand Pracca
2025	J	`jnl`	Relaxing partition admissibility in Cluster-DAGs: a causal calculus with arbitrary variable clustering. CoRR Clément Yvernes, Emilie Devijver, Adèle H. Ribeiro, Marianne Clausel-Lesourd, Éric Gaussier
2025	J	`jnl`	Self-training: A survey. Neurocomputing Massih-Reza Amini, Vasilii Feofanov, Loïc Pauletto, Lies Hadjadj, Emilie Devijver, Yury Maximov
2024	J	`jnl`	Causal Discovery from Time Series with Hybrids of Constraint-Based and Noise-Based Algorithms. Trans. Mach. Learn. Res. Daria Bystrova, Charles K. Assaad, Julyan Arbel, Emilie Devijver, Éric Gaussier, Wilfried Thuiller
2024	J	`jnl`	Classification Tree-based Active Learning: A Wrapper Approach. CoRR Ashna Jose, Emilie Devijver, Massih-Reza Amini, Noël Jakse, Roberta Poloni
2024	A	`conf`	Efficient Initial Data Selection and Labeling for Multi-Class Classification Using Topological Analysis. ECAI Lies Hadjadj, Emilie Devijver, Rémi Molinier, Massih-Reza Amini
2024	J	`jnl`	Ensembles of Probabilistic Regression Trees. CoRR Alexandre Seiller, Éric Gaussier, Emilie Devijver, Marianne Clausel, Sami Alkhoury
2024	J	`jnl`	Feature selection for high-dimensional neural network potentials with the adaptive group lasso. Mach. Learn. Sci. Technol. Johannes Sandberg, Thomas Voigtmann, Emilie Devijver, Noël Jakse
2024	A	`conf`	Identifiability of total effects from abstractions of time series causal graphs. UAI Charles K. Assaad, Emilie Devijver, Éric Gaussier, Gregor Goessler, Anouar Meynaoui
2024	J	`jnl`	Multi-class Probabilistic Bounds for Majority Vote Classifiers with Partially Labeled Data. J. Mach. Learn. Res. Vasilii Feofanov, Emilie Devijver, Massih-Reza Amini
2024	A	`conf`	On the Fly Detection of Root Causes from Observed Data with Application to IT Systems. CIKM Lei Zan, Charles K. Assaad, Emilie Devijver, Éric Gaussier, Ali Aït-Bachir
2024	J	`jnl`	On the Fly Detection of Root Causes from Observed Data with Application to IT Systems. CoRR Lei Zan, Charles K. Assaad, Emilie Devijver, Éric Gaussier
2024	J	`jnl`	Regression tree-based active learning. Data Min. Knowl. Discov. Ashna Jose, João Paulo Almeida de Mendonça, Emilie Devijver, Noël Jakse, Valérie Monbet, Roberta Poloni
2023	J	`jnl`	Case Studies of Causal Discovery from IT Monitoring Time Series. CoRR Ali Aït-Bachir, Charles K. Assaad, Christophe de Bignicourt, Emilie Devijver, Simon Ferreira, Éric Gaussier, Hosein Mohanna, Lei Zan
2023	J	`jnl`	Hybrids of Constraint-based and Noise-based Algorithms for Causal Discovery from Time Series. CoRR Charles K. Assaad, Daria Bystrova, Julyan Arbel, Emilie Devijver, Éric Gaussier, Wilfried Thuiller
2023	J	`jnl`	Identifiability of total effects from abstractions of time series causal graphs. CoRR Charles K. Assaad, Emilie Devijver, Éric Gaussier, Gregor Gössler, Anouar Meynaoui
2023	J	`jnl`	Pool-Based Active Learning with Proper Topological Regions. CoRR Lies Hadjadj, Emilie Devijver, Rémi Molinier, Massih-Reza Amini
2023	A*	`conf`	Survey and Evaluation of Causal Discovery Methods for Time Series (Extended Abstract). IJCAI Charles K. Assaad, Emilie Devijver, Éric Gaussier
2022	J	`jnl`	A Conditional Mutual Information Estimator for Mixed Data and an Associated Conditional Independence Test. Entropy Lei Zan, Anouar Meynaoui, Charles K. Assaad, Emilie Devijver, Éric Gaussier
2022	A	`conf`	Discovery of extended summary graphs in time series. UAI Charles K. Assaad, Emilie Devijver, Éric Gaussier
2022	J	`jnl`	Entropy-Based Discovery of Summary Causal Graphs in Time Series. Entropy Charles K. Assaad, Emilie Devijver, Éric Gaussier
2022	J	`jnl`	Inferring extended summary causal graphs from observational time series. CoRR Charles K. Assaad, Emilie Devijver, Éric Gaussier
2022	J	`jnl`	Self-Training: A Survey. CoRR Massih-Reza Amini, Vasilii Feofanov, Loïc Pauletto, Emilie Devijver, Yury Maximov
2022	J	`jnl`	Survey and Evaluation of Causal Discovery Methods for Time Series. J. Artif. Intell. Res. Charles K. Assaad, Emilie Devijver, Éric Gaussier
2022	J	`jnl`	Wrapper feature selection with partially labeled data. Appl. Intell. Vasilii Feofanov, Emilie Devijver, Massih-Reza Amini
2021	—	`conf`	A Mixed Noise and Constraint-Based Approach to Causal Inference in Time Series. ECML/PKDD (1) Charles K. Assaad, Emilie Devijver, Éric Gaussier, Ali Aït-Bachir
2021	J	`jnl`	Entropy-based Discovery of Summary Causal Graphs in Time Series. CoRR Charles K. Assaad, Emilie Devijver, Éric Gaussier
2021	J	`jnl`	Multi-class Probabilistic Bounds for Self-learning. CoRR Vasilii Feofanov, Emilie Devijver, Massih-Reza Amini
2020	J	`jnl`	Prediction regions through Inverse Regression. J. Mach. Learn. Res. Emilie Devijver, Émeline Perthame
2020	A*	`conf`	Smooth And Consistent Probabilistic Regression Trees. NeurIPS Sami Alkhoury, Emilie Devijver, Marianne Clausel, Myriam Tami, Éric Gaussier, Georges Oppenheim
2019	—	`conf`	Scaling Causal Inference in Additive Noise Models. CD@KDD Charles K. Assaad, Emilie Devijver, Éric Gaussier, Ali Aït-Bachir
2019	J	`jnl`	Semi-supervised Wrapper Feature Selection with Imperfect Labels. CoRR Vasilii Feofanov, Massih-Reza Amini, Emilie Devijver
2019	A*	`conf`	Transductive Bounds for the Multi-Class Majority Vote Classifier. AAAI Vasilii Feofanov, Emilie Devijver, Massih-Reza Amini
2018	J	`jnl`	Dealing with Uncertain Inputs in Regression Trees. CoRR Myriam Tami, Marianne Clausel, Emilie Devijver, Adrien Dulac, Éric Gaussier, Stefan Janaqi, Mériam Chèbre
2017	J	`jnl`	Joint rank and variable selection for parsimonious estimation in a high-dimensional finite mixture regression model. J. Multivar. Anal. Emilie Devijver
2017	J	`jnl`	Model-based regression clustering for high-dimensional data: application to functional data. Adv. Data Anal. Classif. Emilie Devijver
2015	J	`jnl`	Block-diagonal covariance selection for high-dimensional Gaussian graphical models. CoRR Emilie Devijver, Mélina Gallopin