Suivre
Guillaume Staerman
Guillaume Staerman
Postdoc at INRIA (Parietal)
Adresse e-mail validée de inria.fr - Page d'accueil
Titre
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Année
Functional Isolation Forest
G Staerman, P Mozharovskyi, S Clémençon, F d'Alché-Buc
Asian Conference of Machine Learning, 332-347, 2019
642019
Automatic Text Evaluation through the Lens of Wasserstein Barycenters
P Colombo, G Staerman, C Clavel, P Piantanida
Conference on Empirical Methods in Natural Language Processing, 10450--10466, 2021
47*2021
Learning Disentangled Textual Representations via Statistical Measures of Similarity
P Colombo, G Staerman, N Noiry, P Piantanida
60th Annual Meeting of the Association for Computational Linguistics, 2614–2630, 2022
352022
Beyond Mahalanobis Distance for Textual OOD Detection
P Colombo, EDC Gomes, G Staerman, N Noiry, P Piantanida
Advances in Neural Information Processing Systems, 2022
30*2022
When ot meets mom: Robust estimation of wasserstein distance
G Staerman, P Laforgue, P Mozharovskyi, F d’Alché-Buc
International Conference on Artificial Intelligence and Statistics, 136-144, 2021
292021
A pseudo-metric between probability distributions based on depth-trimmed regions
G Staerman, P Mozharovskyi, P Colombo, S Clémençon, F d'Alché-Buc
Transaction of Machine Learning Research (TMLR), 2021
28*2021
The area of the convex hull of sampled curves: a robust functional statistical depth measure
G Staerman, P Mozharovskyi, S Clémençon
International Conference on Artificial Intelligence and Statistics, 570-579, 2020
252020
Unsupervised layer-wise score aggregation for textual ood detection
M Darrin, G Staerman, EDC Gomes, JCK Cheung, P Piantanida, ...
The 38th Annual AAAI Conference on Artificial Intelligence (AAAI) 2024, 2023
222023
Functional anomaly detection: a benchmark study
G Staerman, E Adjakossa, P Mozharovskyi, V Hofer, JS Gupta, ...
arXiv preprint arXiv:2201.05115, 2022
142022
Affine invariant integrated rank-weighted statistical depth: properties and finite sample analysis
S Clémençon, P Mozharovskyi, G Staerman
Electronic Journal of Statistics 17 (2), 3854-3892, 2023
12*2023
Functional anomaly detection and robust estimation
G Staerman
Institut polytechnique de Paris, 2022
122022
Generalization bounds in the presence of outliers: a median-of-means study
P Laforgue, G Staerman, S Clémençon
International Conference on Machine Learning, 5937-5947, 2021
122021
A Simple Unsupervised Data Depth-based Method to Detect Adversarial Images
M Picot, G Staerman, F Granese, N Noiry, F Messina, P Piantanida, ...
102023
A Halfspace-Mass Depth-Based Method for Adversarial Attack Detection
M Picot, F Granese, G Staerman, M Romanelli, F Messina, P Piantanida, ...
Transactions on Machine Learning Research (TMLR), 2023
62023
Hypothesis Transfer Learning with Surrogate Classification Losses: Generalization Bounds through Algorithmic Stability
A Aghbalou, G Staerman
International Conference on Machine Learning, 280-303, 2023
5*2023
Functional anomaly detection: a benchmark study
G Staerman, E Adjakossa, P Mozharovskyi, V Hofer, J Sen Gupta, ...
International Journal of Data Science and Analytics 16 (1), 101-117, 2023
52023
Toward Stronger Textual Attack Detectors
P Colombo, M Picot, N Noiry, G Staerman, P Piantanida
Findings of EMNLP 2023, 2023
32023
A Functional Data Perspective and Baseline On Multi-Layer Out-of-Distribution Detection
E Dadalto, P Colombo, G Staerman, N Noiry, P Piantanida
arXiv preprint arXiv:2306.03522, 2023
2*2023
Enhanced Hallucination Detection in Neural Machine Translation through Simple Detector Aggregation
A Himmi, G Staerman, M Picot, P Colombo, NM Guerreiro
arXiv preprint arXiv:2402.13331, 2024
12024
A Novel Information-Theoretic Objective to Disentangle Representations for Fair Classification
P Colombo, N Noiry, G Staerman, P Piantanida
Findings of AACL 2023, 2023
12023
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