Tami, Myriam

12 publications

TMLR 2025 Causal Dynamic Variational Autoencoder for Counterfactual Regression in Longitudinal Data Mouad El Bouchattaoui, Myriam Tami, Benoit Lepetit, Paul-Henry Cournède

ECML-PKDD 2025 Counterfactual Robustness: A Framework to Analyze the Robustness of Causal Generative Models Across Interventions Manal Benhamza, Marianne Clausel, Myriam Tami

NeurIPS 2024 Causal Contrastive Learning for Counterfactual Regression over Time Mouad El Bouchattaoui, Myriam Tami, Benoit Lepetit, Paul-Henry Cournède

NeurIPS 2023 A Scale-Invariant Sorting Criterion to Find a Causal Order in Additive Noise Models Alexander Reisach, Myriam Tami, Christof Seiler, Antoine Chambaz, Sebastian Weichwald

CVPR 2023 Open-Set Likelihood Maximization for Few-Shot Learning Malik Boudiaf, Etienne Bennequin, Myriam Tami, Antoine Toubhans, Pablo Piantanida, Celine Hudelot, Ismail Ben Ayed

CVPRW 2022 Few-Shot Image Classification Benchmarks Are Too Far from Reality: Build Back Better with Semantic Task Sampling Etienne Bennequin, Myriam Tami, Antoine Toubhans, Céline Hudelot

ECML-PKDD 2021 Bridging Few-Shot Learning and Adaptation: New Challenges of Support-Query Shift Etienne Bennequin, Victor Bouvier, Myriam Tami, Antoine Toubhans, Céline Hudelot

IJCAI 2021 Robust Domain Adaptation: Representations, Weights and Inductive Bias (Extended Abstract) Victor Bouvier, Philippe Very, Clément Chastagnol, Myriam Tami, Céline Hudelot

ECML-PKDD 2021 Spatial Contrastive Learning for Few-Shot Classification Yassine Ouali, Céline Hudelot, Myriam Tami

ECCV 2020 Autoregressive Unsupervised Image Segmentation Yassine Ouali, Céline Hudelot, Myriam Tami

ECML-PKDD 2020 Robust Domain Adaptation: Representations, Weights and Inductive Bias Victor Bouvier, Philippe Very, Clément Chastagnol, Myriam Tami, Céline Hudelot

NeurIPS 2020 Smooth and Consistent Probabilistic Regression Trees Sami Alkhoury, Emilie Devijver, Marianne Clausel, Myriam Tami, Eric Gaussier, Georges Oppenheim