Piantanida, Pablo

29 publications

TMLR 2026 Adapting Language Models to Produce Good Class Probabilities for Classification Tasks Lautaro Estienne, Matias Vera, Elizabeth Fons, Elena Kochkina, Pablo Piantanida, Luciana Ferrer

TMLR 2025 A Strong Baseline for Molecular Few-Shot Learning Philippe Formont, Hugo Jeannin, Pablo Piantanida, Ismail Ben Ayed

JMLR 2025 Fundamental Limits of Membership Inference Attacks on Machine Learning Models Eric Aubinais, Elisabeth Gassiat, Pablo Piantanida

NeurIPS 2025 Learning Task-Agnostic Representations Through Multi-Teacher Distillation Philippe Formont, Maxime Darrin, Banafsheh Karimian, Eric Granger, Jackie CK Cheung, Ismail Ben Ayed, Mohammadhadi Shateri, Pablo Piantanida

NeurIPS 2025 THUNDER: Tile-Level Histopathology Image UNDERstanding Benchmark Pierre Marza, Leo Fillioux, Sofiène Boutaj, Kunal Mahatha, Christian Desrosiers, Pablo Piantanida, Jose Dolz, Stergios Christodoulidis, Maria Vakalopoulou

ICLR 2024 A Data-Driven Measure of Relative Uncertainty for Misclassification Detection Eduardo Dadalto Câmara Gomes, Marco Romanelli, Georg Pichler, Pablo Piantanida

ICML 2024 Beyond the Norms: Detecting Prediction Errors in Regression Models Andres Altieri, Marco Romanelli, Georg Pichler, Florence Alberge, Pablo Piantanida

TMLR 2024 Combine and Conquer: A Meta-Analysis on Data Shift and Out-of-Distribution Detection Eduardo Dadalto Câmara Gomes, Florence Alberge, Pierre Duhamel, Pablo Piantanida

MLJ 2024 On the Incompatibility of Accuracy and Equal Opportunity Carlos Pinzón, Catuscia Palamidessi, Pablo Piantanida, Frank Valencia

AISTATS 2024 Optimal Zero-Shot Detector for Multi-Armed Attacks Federica Granese, Marco Romanelli, Pablo Piantanida

AAAI 2024 Unsupervised Layer-Wise Score Aggregation for Textual OOD Detection Maxime Darrin, Guillaume Staerman, Eduardo Dadalto Câmara Gomes, Jackie C. K. Cheung, Pablo Piantanida, Pierre Colombo

NeurIPS 2024 When Is an Embedding Model More Promising than Another? Maxime Darrin, Philippe Formont, Ismail BEN Ayed, Jackie Chi Kit Cheung, Pablo Piantanida

NeurIPSW 2023 A Data-Driven Measure of Relative Uncertainty for Misclassification Detection Eduardo Dadalto Câmara Gomes, Marco Romanelli, Georg Pichler, Pablo Piantanida

TMLR 2023 A Halfspace-Mass Depth-Based Method for Adversarial Attack Detection Marine Picot, Federica Granese, Guillaume Staerman, Marco Romanelli, Francisco Messina, Pablo Piantanida, Pierre Colombo

CVPR 2023 Open-Set Likelihood Maximization for Few-Shot Learning Malik Boudiaf, Etienne Bennequin, Myriam Tami, Antoine Toubhans, Pablo Piantanida, Celine Hudelot, Ismail Ben Ayed

MLJ 2023 The Role of Mutual Information in Variational Classifiers Matías Vera, Leonardo Rey Vega, Pablo Piantanida

ICML 2022 A Differential Entropy Estimator for Training Neural Networks Georg Pichler, Pierre Jean A. Colombo, Malik Boudiaf, Günther Koliander, Pablo Piantanida

NeurIPS 2022 Beyond Mahalanobis Distance for Textual OOD Detection Pierre Colombo, Eduardo Dadalto, Guillaume Staerman, Nathan Noiry, Pablo Piantanida

ICLR 2022 Igeood: An Information Geometry Approach to Out-of-Distribution Detection Eduardo Dadalto Camara Gomes, Florence Alberge, Pierre Duhamel, Pablo Piantanida

AAAI 2022 InfoLM: A New Metric to Evaluate Summarization & Data2Text Generation Pierre Jean A. Colombo, Chloé Clavel, Pablo Piantanida

CVPR 2022 Leveraging Adversarial Examples to Quantify Membership Information Leakage Ganesh Del Grosso, Hamid Jalalzai, Georg Pichler, Catuscia Palamidessi, Pablo Piantanida

ECML-PKDD 2022 MEAD: A Multi-Armed Approach for Evaluation of Adversarial Examples Detectors Federica Granese, Marine Picot, Marco Romanelli, Francesco Messina, Pablo Piantanida

AAAI 2022 On the Impossibility of Non-Trivial Accuracy in Presence of Fairness Constraints Carlos Pinzón, Catuscia Palamidessi, Pablo Piantanida, Frank Valencia

NeurIPS 2021 DOCTOR: A Simple Method for Detecting Misclassification Errors Federica Granese, Marco Romanelli, Daniele Gorla, Catuscia Palamidessi, Pablo Piantanida

CVPR 2021 Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need? Malik Boudiaf, Hoel Kervadec, Ziko Imtiaz Masud, Pablo Piantanida, Ismail Ben Ayed, Jose Dolz

NeurIPSW 2021 Igeood: An Information Geometry Approach to Out-of-Distribution Detection Eduardo Dadalto Camara Gomes, Florence Alberge, Pierre Duhamel, Pablo Piantanida

NeurIPS 2021 Realistic Evaluation of Transductive Few-Shot Learning Olivier Veilleux, Malik Boudiaf, Pablo Piantanida, Ismail Ben Ayed

ECCV 2020 A Unifying Mutual Information View of Metric Learning: Cross-Entropy vs. Pairwise Losses Malik Boudiaf, Jérôme Rony, Imtiaz Masud Ziko, Eric Granger, Marco Pedersoli, Pablo Piantanida, Ismail Ben Ayed

NeurIPS 2020 Information Maximization for Few-Shot Learning Malik Boudiaf, Imtiaz Ziko, Jérôme Rony, Jose Dolz, Pablo Piantanida, Ismail Ben Ayed