Mozharovskyi, Pavlo

10 publications

ICLR 2025 Restyling Unsupervised Concept Based Interpretable Networks with Generative Models Jayneel Parekh, Quentin Bouniot, Pavlo Mozharovskyi, Alasdair Newson, Florence d'Alché-Buc

NeurIPS 2025 Self-Supervised Learning of Graph Representations for Network Intrusion Detection Lorenzo Guerra, Thomas Chapuis, Guillaume Duc, Pavlo Mozharovskyi, Van-Tam Nguyen

ICLR 2025 Tailoring Mixup to Data for Calibration Quentin Bouniot, Pavlo Mozharovskyi, Florence d'Alché-Buc

TMLR 2024 A Pseudo-Metric Between Probability Distributions Based on Depth-Trimmed Regions Guillaume Staerman, Pavlo Mozharovskyi, Pierre Colombo, Stephan Clémençon, Florence d'Alché-Buc

AISTATS 2022 Statistical Depth Functions for Ranking Distributions: Definitions, Statistical Learning and Applications Morgane Goibert, Stephan Clemencon, Ekhine Irurozki, Pavlo Mozharovskyi

NeurIPS 2022 Listen to Interpret: Post-Hoc Interpretability for Audio Networks with NMF Jayneel Parekh, Sanjeel Parekh, Pavlo Mozharovskyi, Florence d'Alché-Buc, Gaël Richard

AISTATS 2021 When OT Meets MoM: Robust Estimation of Wasserstein Distance Guillaume Staerman, Pierre Laforgue, Pavlo Mozharovskyi, Florence d’Alché-Buc

NeurIPS 2021 A Framework to Learn with Interpretation Jayneel Parekh, Pavlo Mozharovskyi, Florence d'Alché-Buc

AISTATS 2020 The Area of the Convex Hull of Sampled Curves: A Robust Functional Statistical Depth Measure Guillaume Staerman, Pavlo Mozharovskyi, Stéphan Clémen\con

ACML 2019 Functional Isolation Forest Guillaume Staerman, Pavlo Mozharovskyi, Stephan Clémençon, Florence d’Alché-Buc