| 2025 | AISTATS | Signature Isolation Forest. | Marta Campi, Guillaume Staerman, Gareth W. Peters, Tomoko Masui |
| 2025 | AISTATS | UNHaP: Unmixing Noise from Hawkes Processes. | Virginie Loison, Guillaume Staerman, Thomas Moreau |
| 2025 | DSAA | Numerically Efficient Parametric Inference for Learning Space-Time Hawkes Processes. | Emilia Siviero, Guillaume Staerman, Stphan Clmenon, Thomas Moreau |
| 2024 | AAAI | Unsupervised Layer-Wise Score Aggregation for Textual OOD Detection. | Maxime Darrin, Guillaume Staerman, Eduardo Dadalto Cmara Gomes, Jackie C. K. Cheung, Pablo Piantanida, Pierre Colombo |
| 2024 | EMNLP | Enhanced Hallucination Detection in Neural Machine Translation through Simple Detector Aggregation. | Anas Himmi, Guillaume Staerman, Marine Picot, Pierre Colombo, Nuno Miguel Guerreiro |
| 2023 | EMNLP | Toward Stronger Textual Attack Detectors. | Pierre Colombo, Marine Picot, Nathan Noiry, Guillaume Staerman, Pablo Piantanida |
| 2023 | ICML | Hypothesis Transfer Learning with Surrogate Classification Losses: Generalization Bounds through Algorithmic Stability. | Anass Aghbalou, Guillaume Staerman |
| 2023 | ICML | FaDIn: Fast Discretized Inference for Hawkes Processes with General Parametric Kernels. | Guillaume Staerman, Cdric Allain, Alexandre Gramfort, Thomas Moreau |
| 2023 | IJCNLP | A Novel Information Theoretic Objective to Disentangle Representations for Fair Classification. | Pierre Colombo, Nathan Noiry, Guillaume Staerman, Pablo Piantanida |
| 2022 | ACL | Learning Disentangled Textual Representations via Statistical Measures of Similarity. | Pierre Colombo, Guillaume Staerman, Nathan Noiry, Pablo Piantanida |
| 2021 | AISTATS | When OT meets MoM: Robust estimation of Wasserstein Distance. | Guillaume Staerman, Pierre Laforgue, Pavlo Mozharovskyi, Florence d'Alch-Buc |
| 2021 | EMNLP | Automatic Text Evaluation through the Lens of Wasserstein Barycenters. | Pierre Colombo, Guillaume Staerman, Chlo Clavel, Pablo Piantanida |
| 2021 | ICML | Generalization Bounds in the Presence of Outliers: a Median-of-Means Study. | Pierre Laforgue, Guillaume Staerman, Stphan Clmenon |
| 2020 | AISTATS | The Area of the Convex Hull of Sampled Curves: a Robust Functional Statistical Depth measure. | Guillaume Staerman, Pavlo Mozharovskyi, Stphan Clmenon |
| 2019 | ACML | Functional Isolation Forest. | Guillaume Staerman, Pavlo Mozharovskyi, Stphan Clmenon, Florence d'Alch-Buc |