Guillaume Staerman
Guillaume Staerman
Postdoc at INRIA (Parietal)
Verified email at - Homepage
Cited by
Cited by
Functional Isolation Forest
G Staerman, P Mozharovskyi, S Clémençon, F d'Alché-Buc
Asian Conference of Machine Learning, 332-347, 2019
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
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
The area of the convex hull of sampled curves: a robust functional statistical depth measure
G Staerman, P Mozharovskyi, S Clémen
International Conference on Artificial Intelligence and Statistics, 570-579, 2020
A pseudo-metric between probability distributions based on depth-trimmed regions
G Staerman, P Mozharovskyi, P Colombo, S Clémençon, F d'Alché-Buc
arXiv preprint arXiv:2103.12711, 2021
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
Affine-invariant integrated rank-weighted depth: Definition, properties and finite sample analysis
G Staerman, P Mozharovskyi, S Clémençon
arXiv preprint arXiv:2106.11068, 2021
Functional anomaly detection: a benchmark study
G Staerman, E Adjakossa, P Mozharovskyi, V Hofer, J Sen Gupta, ...
International Journal of Data Science and Analytics, 1-17, 2022
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
Functional anomaly detection and robust estimation
G Staerman
Institut polytechnique de Paris, 2022
Unsupervised Layer-wise Score Aggregation for Textual OOD Detection
M Darrin, G Staerman, EDC Gomes, JCK Cheung, P Piantanida, ...
arXiv preprint arXiv:2302.09852, 2023
FaDIn: Fast Discretized Inference for Hawkes Processes with General Parametric Kernels
G Staerman, C Allain, A Gramfort, T Moreau
arXiv preprint arXiv:2210.04635, 2022
Beyond Mahalanobis Distance for Textual OOD Detection
P Colombo, EDC Gomes, G Staerman, N Noiry, P Piantanida
Advances in Neural Information Processing Systems, 2022
A Functional Perspective on Multi-Layer Out-of-Distribution Detection
EDC Gomes, P Colombo, G Staerman, N Noiry, P Piantanida
A Simple Unsupervised Data Depth-based Method to Detect Adversarial Images
M Picot, G Staerman, F Granese, N Noiry, F Messina, P Piantanida, ...
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