Myriam Tami

According to our database, Myriam Tami authored at least 23 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Causal Dynamic Variational Autoencoder for Counterfactual Regression in Longitudinal Data.

Mouad El Bouchattaoui, Myriam Tami, Benoit Lepetit, Paul-Henry Cournède

Trans. Mach. Learn. Res., 2025

Counterfactual Robustness: A Framework to Analyze the Robustness of Causal Generative Models Across Interventions.

Manal Benhamza, Marianne Clausel, Myriam Tami

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2025

2024

Cybersecurity Metrics for AI-Based In-Vehicle Intrusion Detection Systems.

Mohammed Lamine Bouchouia, Hamza Khemissa, Elies Gherbi, Myriam Tami, Duncan Lopes, Natasha Alkhatib, Maxime Ayrault

Proceedings of the IEEE Vehicular Networking Conference, 2024

Causal Contrastive Learning for Counterfactual Regression Over Time.

Mouad El Bouchattaoui, Myriam Tami, Benoit Lepetit, Paul-Henry Cournède

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Transductive Learning for Textual Few-Shot Classification in API-based Embedding Models.

Pierre Colombo, Victor Pellegrain, Malik Boudiaf, Victor Storchan, Myriam Tami, Ismail Ben Ayed, Céline Hudelot, Pablo Piantanida

CoRR, 2023

Simple Sorting Criteria Help Find the Causal Order in Additive Noise Models.

Alexander G. Reisach, Myriam Tami, Christof Seiler, Antoine Chambaz, Sebastian Weichwald

CoRR, 2023

A Scale-Invariant Sorting Criterion to Find a Causal Order in Additive Noise Models.

Alexander G. Reisach, Myriam Tami, Christof Seiler, Antoine Chambaz, Sebastian Weichwald

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Transductive Learning for Textual Few-Shot Classification in API-based Embedding Models.

Pierre Colombo, Victor Pellegrain, Malik Boudiaf, Myriam Tami, Victor Storchan, Ismail Ben Ayed, Pablo Piantanida

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Open-Set Likelihood Maximization for Few-Shot Learning.

Malik Boudiaf, Etienne Bennequin, Myriam Tami, Antoine Toubhans, Pablo Piantanida, Céline Hudelot, Ismail Ben Ayed

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Model-Agnostic Few-Shot Open-Set Recognition.

Malik Boudiaf, Etienne Bennequin, Myriam Tami, Céline Hudelot, Antoine Toubhans, Pablo Piantanida, Ismail Ben Ayed

CoRR, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

StreaMulT: Streaming Multimodal Transformer for Heterogeneous and Arbitrary Long Sequential Data.

Victor Pellegrain, Myriam Tami, Michel Batteux, Céline Hudelot

CoRR, 2021

Spatial Contrastive Learning for Few-Shot Classification.

Yassine Ouali, Céline Hudelot, Myriam Tami

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Stochastic Adversarial Gradient Embedding for Active Domain Adaptation.

Victor Bouvier, Philippe Very, Clément Chastagnol, Myriam Tami, Céline Hudelot

Proceedings of the Workshop on Interactive Adaptive Learning (IAL 2021) co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2021), 2021

Bridging Few-Shot Learning and Adaptation: New Challenges of Support-Query Shift.

Etienne Bennequin, Victor Bouvier, Myriam Tami, Antoine Toubhans, Céline Hudelot

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Robust Domain Adaptation: Representations, Weights and Inductive Bias (Extended Abstract).

Victor Bouvier, Philippe Very, Clément Chastagnol, Myriam Tami, Céline Hudelot

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020

Target Consistency for Domain Adaptation: when Robustness meets Transferability.

Yassine Ouali, Victor Bouvier, Myriam Tami, Céline Hudelot

CoRR, 2020

An Overview of Deep Semi-Supervised Learning.

Yassine Ouali, Céline Hudelot, Myriam Tami

CoRR, 2020

Robust Domain Adaptation: Representations, Weights and Inductive Bias.

Victor Bouvier, Philippe Very, Clément Chastagnol, Myriam Tami, Céline Hudelot

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Smooth And Consistent Probabilistic Regression Trees.

Sami Alkhoury, Emilie Devijver, Marianne Clausel, Myriam Tami, Éric Gaussier, Georges Oppenheim

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Autoregressive Unsupervised Image Segmentation.

Yassine Ouali, Céline Hudelot, Myriam Tami

Proceedings of the Computer Vision - ECCV 2020, 2020

Semi-Supervised Semantic Segmentation With Cross-Consistency Training.

Yassine Ouali, Céline Hudelot, Myriam Tami

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2018

Dealing with Uncertain Inputs in Regression Trees.

Myriam Tami, Marianne Clausel, Emilie Devijver, Adrien Dulac, Éric Gaussier, Stefan Janaqi, Mériam Chèbre

CoRR, 2018