Guillaume Staerman

Virginie Loison

Thomas Moreau

CoRR, 2024

Flexible Parametric Inference for Space-Time Hawkes Processes.

[BibT_eX]

[DOI]

CoRR, 2024

Signature Isolation Forest.

[BibT_eX]

[DOI]

Marta Campi

Gareth W. Peters

CoRR, 2024

Enhanced Hallucination Detection in Neural Machine Translation through Simple Detector Aggregation.

[BibT_eX]

[DOI]

Nuno Miguel Guerreiro

CoRR, 2024

Enhanced Hallucination Detection in Neural Machine Translation through Simple Detector Aggregation.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Unsupervised Layer-Wise Score Aggregation for Textual OOD Detection.

[BibT_eX]

[DOI]

Maxime Darrin

Jackie C. K. Cheung

Pablo Piantanida

Pierre Colombo

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Functional anomaly detection: a benchmark study.

[BibT_eX]

[DOI]

Int. J. Data Sci. Anal., June, 2023

A Halfspace-Mass Depth-Based Method for Adversarial Attack Detection.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2023

A Functional Data Perspective and Baseline On Multi-Layer Out-of-Distribution Detection.

[BibT_eX]

[DOI]

CoRR, 2023

Hypothesis Transfer Learning with Surrogate Classification Losses.

[BibT_eX]

[DOI]

Anass Aghbalou

CoRR, 2023

A Novel Information Theoretic Objective to Disentangle Representations for Fair Classification.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: IJCNLP-AACL 2023, 2023

FaDIn: Fast Discretized Inference for Hawkes Processes with General Parametric Kernels.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Hypothesis Transfer Learning with Surrogate Classification Losses: Generalization Bounds through Algorithmic Stability.

[BibT_eX]

[DOI]

Anass Aghbalou

Proceedings of the International Conference on Machine Learning, 2023

Toward Stronger Textual Attack Detectors.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

Beyond Mahalanobis-Based Scores for Textual OOD Detection.

[BibT_eX]

[DOI]

Pierre Colombo

Nathan Noiry

Pablo Piantanida

CoRR, 2022

Beyond Mahalanobis Distance for Textual OOD Detection.

[BibT_eX]

[DOI]

Pierre Colombo

Nathan Noiry

Pablo Piantanida

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning Disentangled Textual Representations via Statistical Measures of Similarity.

[BibT_eX]

[DOI]

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Affine-Invariant Integrated Rank-Weighted Depth: Definition, Properties and Finite Sample Analysis.

[BibT_eX]

[DOI]

Pavlo Mozharovskyi

CoRR, 2021

Depth-based pseudo-metrics between probability distributions.

[BibT_eX]

[DOI]

CoRR, 2021

Generalization Bounds in the Presence of Outliers: a Median-of-Means Study.

[BibT_eX]

[DOI]

Pierre Laforgue

Proceedings of the 38th International Conference on Machine Learning, 2021

Automatic Text Evaluation through the Lens of Wasserstein Barycenters.

[BibT_eX]

[DOI]

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

When OT meets MoM: Robust estimation of Wasserstein Distance.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

How Robust is the Median-of-Means? Concentration Bounds in Presence of Outliers.

[BibT_eX]

[DOI]

Pierre Laforgue

CoRR, 2020

The Area of the Convex Hull of Sampled Curves: a Robust Functional Statistical Depth measure.

[BibT_eX]

[DOI]

Pavlo Mozharovskyi